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Prevalence of actinic skin lesions in patients with basal cell carcinoma of the head: a case-control study

Abstracts

OBJECTIVE: To evaluate the prevalence of actinic skin lesions in patients with basal cell carcinoma of the head. METHODS: A case-control study was carried out. Cases were patients with primary, solid basal cell carcinoma of the head, less than two centimeters in diameter; and as controls, patients with other dermatoses. Constitutional and behavioral variables were analyzed, as well as actinic lesions. RESULTS: One hundred twenty cases and 360 controls were evaluated. Facial milia (OR = 2.3), leukoderma punctata of the upper limbs (OR = 2.9), and cutis rhomboidalis nuchae (OR = 1.8) were associated with neoplasms regardless of other variables, suggesting a risk phenotype. There was also association with light hair and eye color phenotypes, family genetics, and cumulative sun exposure. Sunburn, smoking, and alcoholism were not identified as risk factors. The use of sunscreens showed no evidence of protection; however, the control group consisted of dermatology patients who are often prescribed sunscreens. CONCLUSION: Actinic lesions were more prevalent in patients with solid basal cell carcinoma of the head than in controls, especially milia, cutis rhomboidalis nuchae, and leukoderma punctata, regardless of other known risk factors.

Head and neck neoplasias; basal cell carcinoma; epidemiology; case-control studies; UV rays; risk factors


OBJETIVO: Avaliar a prevalência de lesões cutâneas actínicas em portadores de carcinoma basocelular do segmento cefálico. MÉTODOS: Foi conduzido estudo tipo caso-controle. Os casos, constituídos por pacientes com carcinoma basocelular sólido, primário, menor que dois centímetros, no segmento cefálico; e controles, por pacientes com outras dermatoses. Foram analisadas variáveis constitucionais, comportamentais e lesões actínicas. RESULTADOS: Avaliaram-se 120 casos e 360 controles. Mílio facial (OR = 2,3), leucodermia puntacta de membros superiores (OR = 2,9) e cutis romboidalis nuchae (OR = 1,8) associaram-se à neoplasia independentemente das demais variáveis, sugerindo um fenótipo de risco. Houve ainda associação com fenótipos claros, genética familiar e exposição solar cumulativa. Queimadura solar, tabagismo e alcoolismo não foram identificados como fatores de risco. O uso de fotoprotetores não evidenciou proteção; porém, o grupo controle era composto por pacientes dermatológicos, aos quais são indicados fotoprotetores regularmente. CONCLUSÃO: Lesões actínicas foram mais prevalentes em portadores de carcinoma basocelular sólido do segmento cefálico que em controles, especialmente mílio, cutis romboidalis nuchae e leucodermia puntacta, independentemente dos demais fatores de risco conhecidos.

Neoplasias de cabeça e pescoço; carcinoma basocelular; epidemiologia; estudos de casos e controles; raios ultravioleta; fatores de risco


ORIGINAL ARTICLE

Prevalence of actinic skin lesions in patients with basal cell carcinoma of the head: a case-control study

Valquíria Pessoa ChinemI; Hélio Amante MiotII

IMSc In Pathology; Dermatologist, Departament of Dermatology and Radiotherapy, Universidade Estadual Paulista (FMB-UNESP), Botucatu, SP, Brazil

IIPhD in Pathology; Assistant Professor, Departament of Dermatology of FMB-UNESP, Botucatu, SP, Brazil

Correspondence to Correspondence to: Hélio Amante Miot Departamento de Dermatologia e Radioterapia, SN Campus Universitário CEP: 18618-000 Botucatu, SP, Brazil Phone/Fax: +55 (14) 3882-4922 heliomiot@fmb.unesp.br

SUMMARY

OBJECTIVE: To evaluate the prevalence of actinic skin lesions in patients with basal cell carcinoma of the head.

METHODS: A case-control study was carried out. Cases were patients with primary, solid basal cell carcinoma of the head, less than two centimeters in diameter; and as controls, patients with other dermatoses. Constitutional and behavioral variables were analyzed, as well as actinic lesions.

RESULTS: One hundred twenty cases and 360 controls were evaluated. Facial milia (OR = 2.3), leukoderma punctata of the upper limbs (OR = 2.9), and cutis rhomboidalis nuchae (OR = 1.8) were associated with neoplasms regardless of other variables, suggesting a risk phenotype. There was also association with light hair and eye color phenotypes, family genetics, and cumulative sun exposure. Sunburn, smoking, and alcoholism were not identified as risk factors. The use of sunscreens showed no evidence of protection; however, the control group consisted of dermatology patients who are often prescribed sunscreens.

CONCLUSION: Actinic lesions were more prevalent in patients with solid basal cell carcinoma of the head than in controls, especially milia, cutis rhomboidalis nuchae, and leukoderma punctata, regardless of other known risk factors.

Keywords: Head and neck neoplasias; basal cell carcinoma; epidemiology; case-control studies; UV rays; risk factors.

INTRODUCTION

Basal cell carcinoma (BCC) is the most common neoplasia in humans, especially among fair-skinned individuals. It constitutes 70% to 80% of malignant skin tumors and represents an important demand on and cost to the health system1,2. According to a German sample, throughout life, the cumulative risk of its development in the Caucasian population is over 30%3. The expected incidence in 2011 in Brazil is approximately 120,000 cases1. Over the past 50 years, there was an increase in the incidence in several countries, including the involvement of younger patients4,5.

This neoplasia has a low degree of malignancy and mortality due to the typical slow growth and reduced potential to metastasize, in addition to its early diagnosis, as it is preferentially located in areas exposed to sunlight. However, its morbidity is high due to local invasion, tissue destruction, and the possibility of recurrence, affecting patients' quality of life4,6-8.

In contrast, a smaller fraction of malignant neoplasms of the skin (20-30%) consists mainly of squamous cell carcinoma (SCC) and melanomas, which are aggressive forms, with clear metastatic potential. Whereas the SCC favors sun-exposed and mucosal areas, melanomas also occurs in less irradiated areas such as the back, upper thighs, and extremities, which can lead to diagnostic delay1.

Ultraviolet radiation (UVR) is the main environmental risk factor associated with the genesis of the BCC, as shown by a higher frequency of lesions in sun-exposed areas. In addition to the immunosuppressive action on the skin, compromising the local antitumor monitoring activ2-4,9, UVB radiation generates mutagenic photoproducts in the DNA, which promotes mutations in genes such as PTCH and p53.In turn, UVA radiation has mainly indirect effects by generating cytotoxic and mutagenic free radicals9-12.

The most important constitutional risk factors are: fair skin (difficulty to tan and predisposition to sunburns), light-colored eyes and hair, family history of BCC, and freckles in childhood. Noteworthy behavioral factors are: professional activity unprotected from UVR, rural activities, and sunburns in youth7,13.

Although most authors point to a greater role of intermittent sun exposure, especially in youth, in the genesis of the BCC, some recent studies have suggested that nodular BCC would be more related to chronic sun exposure14,15.

As their genesis is associated with exposure to UVR, chronic actinic skin lesions may be indicators of the risk for the development of BCC. Skin lesions such as actinic keratosis, solar lentigines, solar elastosis, and facial telangiectasias are commonly found in patients with this cancer, but have not been systematically studied, nor considered regarding the other epidemiological markers of risk13,16-18.

Early diagnosis is a key strategy to improve prognosis, and reduce sequelae (local and therapeutic) and costs for the health system. The identification of risk phenotypes can be favorable in public health interventions aiming at primary and secondary prevention.

The authors aimed to evaluate the prevalence of chronic actinic skin lesions in patients with solid, primary BCC of the head, and compared them with patients without skin cancer, in order to identify skin phenotypes associated with the risk of BCC.

METHODS

This was a case-control study involving patients older than 40 years of age, of both genders, treated at the Department of Dermatology of the Medical School of UN-ESP - Botucatu, from March 2007 to December 2009.

The cases were defined as patients with solid, primary BCC (confirmed by histopathological analysis), less than two centimeters in diameter, located on the head, diagnosed less than a year before the interview. Controls were patients with other benign dermatoses, interviewed at a proportion of three respondents for each case, in a nonpaired manner, to allow risk estimation and stratified analysis of constitutional variables such as gender, age, and skin type (Fitzpatrick classification)19.

Patients presenting with evidence of immunosuppression (medication-induced or associated with chronic diseases with significant reduction in immune response), genetic syndromes predisposing to cancer, diffuse skin dermatoses, skin type VI, presenting more than one BCC lesion or any other skin neoplasm at any time were excluded.

The demographic and behavioral information were obtained from standardized forms, and the actinic skin lesions were examined by a dermatologist. Systematic patient sampling was not used, thus including all those who were consecutively available.

The main dependent variable was the appearance of sporadic, solid BCC, less than two centimeters in diameter, located on the head. The independent variables were age, gender, skin type, constitutional characteristics, sunburns, photoaging measurement, dermatoses associated with chronic sun exposure, smoking, alcohol consumption, family occurrence of BCC, sun exposure related to occupational or leisure activity, and use of sunscreen.

Initially, a bivariate analysis was performed to estimate associations between the primary variables in each group. Categorical variables were expressed as the percentage of occurrence and compared by the chi-square tests or the chi-square test for trend, for ordinal characteristic. Continuous and discrete quantitative variables were represented by their means or medians, and analyzed by Student's t-test, or by the Mann-Whitney test if the distribution was nonparametric. Normality of distributions was estimated by the Shapiro-Wilk's test.

Subsequently, the independent variables were adjusted from a non-conditional multiple logistic regression model of hierarchical structure to control confounding factors. The progressive inclusion of variables into the model, according to each hierarchical level, occurred with p < 0.2520-22.

The hierarchical model of analysis to control confounding factors showed, in the first level (forced entry variables): gender, age, and skin type. At the second level, other constitutional variables included: light-colored eyes, light-colored hair, freckles in childhood, family history of BCC. In the third level, behavioral and exposure variables were included: rural activities, working in the sun, number of hours working in the sun (expressed by the product of hours/days and years of exposure = h/d x year), leisure activities in the sun, number of hours during leisure activities in the sun (expressed by the product of hours/week and years of exposure = h/wk x year), smoking (expressed as the product of packs/day and years of smoking = packs/d x year), alcoholism, use of sunscreen in the past 10 years (stratified as: never, when leaving the house/going to the beach, every day). In the last level, chronic actinic lesions were included: wrinkles, facial and upper limb actinic keratoses, telangiectasias, leukoderma punctata, facial milia, acne scars, comedones, facial and upper limb lentigines, poikiloderma of Civatte, cutis rhomboidalis nuchae, stellar scars of the upper limbs, Bateman's purpura, actinic cheilitis, and palmar keratosis.

The groups were further analyzed and stratified by gender, skin types, and extremes of age tertiles. The additive effects of the interaction between variables were estimated by assessing the modification of the overall effect of the combination of variables20,22.

The association measures were represented as odds ratios, at a 95% confidence interval (CI), and a two-tailed p-value of 0.05 was considered significant.

Data were tabulated in MS Excel* 2003, and analyzed using the Statistical Package for the Social Sciences (SPSS) software version 17.023.

The sampling was estimated based on a pretest with 50 cases and 150 controls, and calculated for a model of nonconditional multiple logistic regression, according to the estimation of variables for the final model24,25.

The project was approved by the institution's ethics and research committee (protocol number 331/2007). After all interviews, the patients signed the free and informed consent form.

RESULTS

A total of 120 cases and 360 controls were evaluated. The main demographic data are shown in Table 1. There was a direct association of BCC with fair-skin phenotypes, older age, predisposing family genetics, and work activity in the sun; 95% of the controls were exposed for less than 400 h/d x year. Smoking, regular alcohol consumption, sunscreen use, leisure activities in the sun, and sunburns were not risk factors for this sample.

Cases and controls mainly came from the city of Botucatu (45% and 41%) and surrounding regions (98% and 91%). No patients of Asian origin were interviewed and none of the cases or controls used tanning beds or phototherapy.

Among controls, 98 different dermatological diagnoses were identified, of which the main ones (> 2% of diagnoses) were onychomycosis, contact dermatitis, urticarial rash, melanocytic nevi, seborrheic keratoses, actinic keratosis, pyoderma, discoid lupus erythematosus, tinea pedis, stasis eczema, psoriasis, which are in agreement with the Brazilian dermatological outpatient sample for this age group26.

Table 2 specifies the frequency of chronic actinic lesions between the groups, showing a direct association between BCC and the skin lesions studied, except for lentigines and facial acne scars.

Table 3 shows the final reduced hierarchical logistic model of the prevalence of actinic lesions. Milia, leukoderma punctata of the upper limbs, and cutis rhomboidalis nuchae were associated with the BCC, regardless of other covariates.

No significant interactions were identified between the independent variables, and there was no data loss in the sample. The final model showed no outliers (Zres > 3).

Female cases had lighter skin types, reported less alcohol consumption, and had higher sun exposure during work and leisure time than their controls of the same sex. Family history was more frequent (OR = 2.38) among cases, and skin lesions indicative of risk in this subgroup were milia (OR = 2.16) and stellar scars (OR = 2.55).

Male patients had the following skin lesions as indicative of risk: milia (OR = 3.85), acne scars (OR = 8.29), leukoderma punctata (OR = 3.71), and cutis rhomboidalis nuchae (OR = 4 17). Family history was more frequent among cases (OR = 23.83), which also showed lighter phenotypes, reported higher sun exposure during work and leisure periods, and more freckles in childhood in comparison to their controls. The presence of facial comedones showed a protective effect in these patients (OR = 0.28).

Overall, the women in the study worked fewer hours exposed to the sun as compared to men (average: 91.82 versus 182.94 h, p < 0.05), and underwent less sun exposure during leisure time than men (average: 31.68 versus 53.33 h, p < 0.05).

Cases with skin types I and II showed a higher sun exposure during work time than light skin type controls. The age of cases was younger than that of controls (OR = 0.95). The injury most often associated with risk of BCC was facial telangiectasia (OR = 12.20).

Compared to controls with skin types IV and V, cases with darker skin types underwent higher sun exposure during leisure time. The age of the cases, which was older than controls (OR = 1.14), and the reference to family history (OR = 39.99) must be emphasized. The skin lesion most often associated was cutis rhomboidalis nuchae (OR = 8.32).

The cases in the youngest age tertile (< 60 years), compared to young controls presented lighter skin types, lower incidence of rural professions, and higher sun exposure during leisure time. We emphasize the strong influence of family history (OR = 7.65), and among the skin lesions, milia (OR = 6.39), facial telangiectasias (OR = 15.78), actinic keratosis of the upper limbs (OR = 3.67), and poikiloderma of Civatte (OR = 4.13).

The cases in the oldest tertile (> 78 years), when compared with older controls, showed lighter phenotypes and higher sun exposure during work. The associated actinic lesions in this subgroup were milia (OR = 3.63), cutis rhomboidalis nuchae (OR = 4.73), leukoderma punctata (OR = 6.80), and actinic cheilitis (OR = 6.35).

DISCUSSION

The chronic actinic lesions were more prevalent among patients with solid BCC on the head than in the controls of the studied population. Especially, facial milia, leukoderma punctata of the upper limbs, and cutis rhomboidalis nuchae remained significant in the comparison, even when adjusted for age, skin type, gender, family history of BCC, and number of hours of work and leisure activities in the sun.

Milia are keratinocytic cysts that are formed in the upper dermis as a result of sun exposure, burns, trauma, sweat or sebaceous gland obstruction, or recurrent cicatricial processes as it occurs in porphyria and epidermolysis bullosa. They also occur in Gorlin, Bazex-Dupré-Christol, and Rombo syndromes, which course with multiple BCCs4,27,28. To date, no study had investigated its association with BCC.

Cutis rhomboidalis nuchae is a manifestation of exuberant dermal actinic elastosis that occurs in the neck. It commonly affects fair-skinned elderly individuals who were chronically exposed to UVR. The exacerbated production of thick and disarrayed elastic fibers is due to a chronic inflammatory process, with mast cell degranulation and activation of fibroblasts that produce collagen-degrading metalloproteinases. The association of BCC with photoaging, elastosis, and Favre-Racouchot syndrome has been described before16,17,29. Facial wrinkles are skin lesions associated with elastosis, which have been identified as a possible protective factor in a German series30. This, when adjusted for age, skin type, gender, family history of however, was not demonstrated in this sample, as the diBCC, and number of hours of work and leisure activities rect analysis showed that wrinkles represent risk factors in the sun. that are proportional to their intensity.

Leukoderma punctata or idiopathic guttate hypomelanosis is common in fair-skinned adults and occurs mainly in sun-exposed surfaces of the upper and lower limbs. It is caused by local melanocytic hypoplasia with reduced melanin pigmentation. It has been previously identified as a risk element for BCC after multivariate adjustment29.

Leukoderma punctata, milia, and cutis rhomboidalis are not neoplastic lesions, and their physiopathogenesis occurs independently from each other; in addition, they do not share other factors in the biological chain of the BCC, except chronic exposure to UVB. The concomitant susceptibility of these actinic lesions with BCC must derive from an individual phenotype of common risk.

Solar lentigines, actinic keratoses, actinic cheilitis, facial telangiectasia, and solar elastosis were not variables independently associated with BCC in this population, unlike other studies16,17,29-31. This discrepancy may result from the confounding effect caused by the types of lesions studied, which was minimized in this work by including several other predictive variables in the multivariate analysis, such as milia, leucoderma, and cutis rhomboidalis. Other explanations for this difference may result from the selection of patients with BCCs in other topographies, other histological types and multiple forms; moreover, the control individuals come from a group of adult dermatology patients, in whom a higher frequency of skin lesions than in the normal population is to be expected14.

Prospective studies should be carried out to corroborate these findings and disclose the physiopathology of individual sensitivity to BCC that predisposes the simultaneous expression of these actinic dermatoses to the detriment of others.

The literature indicates lower-sensitiveness skin types and sun exposure as the most important risk factors for BCC. Some studies also report association with previous sunburns, light hair and eyes, positive family history, and presence of actinic lesions7,16,17,31-36.

In the present study, there was a direct association of BCC with lighter skin types, load of sun exposure during professional activities, family history, and actinic lesions. There was no association with previous sunburns, smoking, and alcohol, and the regular use of sunscreen did not protect against BCC.

Contrary to what occurs in SCC, there is no consensus with regard to smoking and subsequent development of BCC37,38. The same goes for the protection provided by the regular use of sunscreen (in the past 10 years), and most studies also found no such association for this neoplasia 29,34,39-41

The population studied, typically coming from lower social classes, presented a report of current smoking at a proportion that was similar to that found in the state capital of São Paulo (20.4% versus 19.9%)42. However, the regular use of sunscreen, even occasionally, was reported with a lower frequency than the result obtained from the Brazilian population survey (18.5% versus 38.4%), where the rate reaches up to 53.3% in the highest-income class43. It is noteworthy that, in this study, the estimated use of sunscreen considered the past 10 years, which underestimates the frequency compared to the national survey; however, it is more consistent with the long latency time for the development of BCC, and in accordance with the study aim3.

In addition to the fact that the genesis of BCC could have occurred more than 10 years before the study, the sunscreen protection factor (SPF > 30), the spectrum (UVA and UVB), the amount of product used, and reapplication frequency were not analyzed among patients who reported daily use, which can interfere with the accuracy of the conclusion about its role in preventing BCC, and therefore it should not discourage the recommendation for the regular use of the product, with broad spectrum and SPF > 30, especially in populations at risk for UVRinduced skin cancer4.

The lack of association of BCC with a history of sunburn in this study may be due to the exclusion of tumors of the trunk and superficial types, associated with the most intense intermittent exposure and sunburns, while solid facial tumors are associated mainly with chronic exposure14,29,44.

When the genders are analyzed separately, the association of risk for cutis rhomboidalis nuchae only for men highlights the protection of long hair on women. As for stellar scars of the upper limbs only associated with women, it may indicate aspects of personal protection at work, or the possibility that hair on male forearms can offer some protection. Facial milia were lesions that indicated risk in both sexes.

Men also had acne scars as a risk factor for BCC, in disagreement with previous studies that correlated them with a protective effect, as it is referred for oily skin. The evidence that facial comedones exert a protective effect is consistent with this hypothesis, but contradicts the findings on acne scars4,45. The restricted choice of primary BCCs of the head and the solid subtype prevents the direct comparison of these findings with the literature, and adequate designs to investigate this aspect should be used.

There are peculiarities in the epidemiology of gender-related neoplasias. In the case of BCC, in addition to clothing and professional aspects, it can be suggested that sun exposure occurs daily for women, although it is little perceived during housework activities; they less often report frequent smoking and alcohol consumption, and, moreover, there are protective factors against cancer specifically related to gender that are observed in carcinogen initiation-promotion animal models, but that need to be evaluated in humans46,47.

The cases with lighter skin types develop BCC earlier, when compared to controls. In addition to the fact that they have higher sun exposure, the importance of early recommendations regarding behavioral factors, particularly in this group of individuals, is emphasized. These data are consistent with the observation of the emergence of BCCs in patients younger than 40 years, mainly among lighter skin types2,48-50.

In contrast, in darker skin types, the important influence of family genetics is emphasized, indicating susceptibility to BCC, regardless of protective melanin, which justifies recommendations on the risks of unprotected sun exposure, even in groups that do not burn easily. The possibility of BCC in black individuals supports this observation51-53.

In the comparison between young cases and young controls, sun exposure during leisure time was higher among cases, but not sunburns, supporting the hypothesis that solid BCCs are not induced by sunburns, but mainly by cumulative exposure to UVR14,44.

Light skin types and positive family history of BCC were elements that were strongly associated with the development of BCC in younger individuals, mainly in those with actinic lesions and unprotected sun exposure. These elements identify subgroups that benefit from preventive primary and secondary measures, as an increased incidence of BCC in individuals younger than 40 years has been identified17,50.

Older cases had higher number of sun exposure hours, higher incidence of cutis rhomboidalis, actinic cheilitis, and leukoderma punctata than controls of the same age, reinforcing the importance of chronic sun exposure as a risk factor for BCC in this group.

The limitations of this study are related to the possibility of memory bias, the selection of a control group among dermatology patients - who have a higher frequency of actinic lesions -, and momentary assessment of the presence of lesions. However, the sample size, the choice of three controls for each case, and the magnitude of the associations found by multivariate analysis of these elements reduce the impact on the results.

The identification of actinic lesions as risk for BCC, despite the exclusion of patients with skin type VI, who would mainly compose the control group and would reduce the prevalence of actinic lesions in this group, is another element that strengthens the results of the study.

Memory bias may occur regarding smoking, alcohol consumption, sunburns, sunscreen use, family history, freckles in childhood, light-colored hair in youth, rural activities, sun exposure in leisure and work activities; a greater reference to these factors is expected in the case group. The controls, who are outpatients, favor compliance with the study and decrease memory and information bias when compared to healthy subjects31,54.

With the exception of family history and sun exposure during work and leisure activities, none of the other factors remained significant in the final risk model, minimizing the influence of these elements in the analysis. Furthermore, family history and hours of sun exposure are risk factors substantiated by other studies and related to other actinic lesions2,7,16,36.

The quality of information regarding the type of skin neoplasia in the family, and especially sun exposure and habits are classically difficult to assess55,56. The authors adopted the cumulative quantification of these latter variables to maximize the differences between the groups regarding exposure to these factors.

The accuracy of the dermatologic diagnosis of actinic lesions and its quantification is a matter of attention regarding the results. While there is little reproducibility in the counting of skin lesions57, the arbitrary choice of a cutoff of 10 lesions, and the clear evidence that the absence of lesions increases the accuracy of estimating the number of lesions, was a decision considered also by other studies16,58. Furthermore, histological lesion verification would make the sample size unfeasible, in addition to the ethical limits of this procedure. Another confounding factor arises from the different classifications and choices among authors for lesions such as comedones, lentigines, cysts, and photoaging criteria16,17,31,59.

The choice of controls from the dermatology outpatient clinic of the institution benefits the homogeneity of the social and geographical origin of patients; however, it may overestimate the occurrence of actinic lesions, due to the nature of dermatological care, and modify the current reference to photoprotection by medical indications. Even so, the common social structure of groups reduces the generalization of the results to other populations and socioeconomic realities.

Still, the higher frequency of actinic lesions among cases and the maintenance of this profile after adjustment for other covariates support the association between BCC and actinic lesions.

Subsequent comparative studies to investigate the general population should substantiate our findings, may evidence greater magnitude of these associations, and even reveal the existence of other actinic lesions associated with BCC. They would also allow the stratification of the analysis by social status and ethnic groups, which would contribute to the generalization of the results.

The study of risk factors for the development of BCC allows the creation of statistical risk models, the identification of individuals susceptible to tumor development, and the planning of strategies for primary prevention in these groups, such as campaigns for periodic dermatological examinations, resulting in the increase of the diagnostic index, earlier treatments, and more effective national campaigns to prevent skin cancer60.

CONCLUSION

Actinic lesions were more prevalent in patients with solid basal cell carcinoma of the head than in controls, especially milia, cutis rhomboidalis nuchae and leukoderma punctata, regardless of other known risk factors.

REFERENCES

1. INCA. Estimativas 2010: Incidência de câncer no Brasil. Rio de Janeiro: Ministério da Saúde. Secretaria de Atenção à Saúde. Instituto Nacional de Câncer. Coordenação de Prevenção e Vigilância de Câncer; 2009. p. 98.

2. Lear W, Dahlke E, Murray CA. Basal cell carcinoma: review of epidemiology, pathogenesis, and associated risk factors. J Cutan Med Surg. 2007;11:19-30.

3. Roewert-Huber J, Lange-Asschenfeldt B, Stockfleth E, Kerl H. Epidemiology and aetiology of basal cell carcinoma. Br J Dermatol. 2007; 157(Suppl 2):47-51.

4. Chinem VP, Miot HA. Epidemiology of basal cell cacinoma. An Bras Dermatol. 2011;86:292-305.

5. Schmitt JV, Chinem VP, Marques MEA, Miot HA. Aumento da incidência de carcinoma basocelular em hospital universitário: 1999 a 2009. An Bras Dermatol. 2011;86:375-7.

6. Ferrandiz C, Fuente MJ, Ferrandiz L, Carrascosa JM. Basal cell carcinoma. Cancer Treat Res. 2009;146:263-78.

7. Rubin AI, Chen EH, Ratner D. Basal-cell carcinoma. N Engl J Med. 2005;353:2262-9

8. Chren MM, Sahay AP, Bertenthal DS, Sen S, Landefeld CS. Quality-of-life outcomes of treatments for cutaneous basal cell carcinoma and squamous cell carcinoma. J Invest Dermatol 2007;127:1351-7.

9. Madan V, Hoban P, Strange RC, Fryer AA, Lear JT. Genetics and risk factors for basal cell carcinoma. Br J Dermatol. 2006;154(Suppl 1):5-7.

10. Welsh MM, Karagas MR, Applebaum KM, Spencer SK, Perry AE, Nelson HH. A role for ultraviolet radiation immunosuppression in non-melanoma skin cancer as evidenced by gene-environment interactions. Carcinogenesis. 2008;29:1950-4.

11. Donovan J. Review of the hair follicle origin hypothesis for basal cell carcinoma. Dermatol Surg. 2009;35:1311-23.

12. Leiter U, Garbe C. Epidemiology of melanoma and nonmelanoma skin cancer-- the role of sunlight. Adv Exp Med Biol. 2008;624:89-103.

13. Hoban PR, Ramachandran S, Strange RC. Environment, phenotype and genetics: risk factors associated with BCC of the skin. Expert Rev Anticancer Ther. 2002;2:570-9.

14. Scrivener Y, Grosshans E, Cribier B. Variations of basal cell carcinomas according to gender, age, location and histopathological subtype. Br J Dermatol. 2002;147:41-7.

15. Pelucchi C, Di Landro A, Naldi L, La Vecchia C, Oncology Study Group of the Italian Group for Epidemiologic Research in Dermatology (GISED). Risk factors for histological types and anatomic sites of cutaneous basal-cell carcinoma: an Italian case-control study. J Invest Dermatol. 2007;127:937-44.

16. Rocha FP, Menezes AMB, Almeida Jr HL, Tomasi E. Marcadores e fatores de risco para queratoses actínicas e carcinomas basocelulares: um estudo de casocontrole. An Bras Dermatol. 2004;79:441-54.

17. Maia M, Proenca NG, Moraes JC. Risk factors for basal cell carcinoma: a casecontrol study. Rev Saúde Pública. 1995;29:27-37.

18. Richmond-Sinclair NM, Pandeya N, Williams GM, Neale RE, van der Pols JC, Green AC. Clinical signs of photodamage are associated with basal cell carcinoma multiplicity and site: A 16-year longitudinal study. Int J Cancer. 2010;127:2622-9.

19. Fitzpatrick TB. Soleil et peau. J Med Esthet. 1975;2:33-4.

20. Bagley SC, White H, Golomb BA. Logistic regression in the medical literature: standards for use and reporting, with particular attention to one medical domain. J Clin Epidemiol. 2001;54:979-85.

21. Rahman M, Sakamoto J, Fukui T. Conditional versus unconditional logistic regression in the medical literature. J Clin Epidemiol. 2003;56:101-2.

22. Greenland S. Modeling and variable selection in epidemiologic analysis. Am J Public Health. 1989;79:340-9.

23. SPSS 17.0 for Windows. 17th ed. Chicago (IL): SPSS Incorporation, Statistical Package for Social Science (SPSS); 2008.

24. Ortega CM, Cayuela DA. Unconditioned logistic regression and sample size: a bibliographic review. Rev Esp Salud Publica. 2002;76:85-93.

25. Demidenko E. Sample size and optimal design for logistic regression with binary interaction. Stat Med. 2008;27:36-46.

26. Sociedade Brasileira de Dermatologia SBD. Perfil nosológico das consultas dermatológicas no Brasil. An Bras Dermatol. 2006;81:549-58.

27. Van Steensel MA, Jaspers NG, Steijlen PM. A case of Rombo syndrome. Br J Dermatol. 2001;144:1215-8.

28. Kidd A, Carson L, Gregory DW, Silva D, Holmes J, Dean JC et al. A Scotish family with Bazex-Dupre-Christol syndrome: follicular atrophoderma, congenital hipotrichosis, and basal cell carcinoma. J Med Genet. 1996;33:493-7.

29. Gon AS. Fatores de risco para o carcinoma basocelular: estudo de casos e controles. In: Curso de Pós-graduação em medicina e ciências da saúde da Universidade Estadual de Londrina. PhD. Londrina: Universidade Estadual de Londrina - UEL; 2008. p. 76.

30. Walther U, Kron M, Sander S, Sebastian G, Sander R, Peter RU et al. Risk and protective factors for sporadic basal cell carcinoma: results of a two-centre case-control study in southern Germany. Clinical actinic elastosis may be a protective factor. Br J Dermatol. 2004;151:170-8.

31. Lascano AR, Kuznitzky R, Garay I, Ducasse C, Albertini R. Factores de riesgo para carcinoma basocelular. Estudio de casos-controles en Cordoba. Medicina (B. Aires). 2005;65:495-500.

32. Diepgen TL, Mahler V. The epidemiology of skin cancer. Br J Dermatol. 2002;146(Suppl 61):1-6.

33. Armstrong BK, Kricker A. The epidemiology of UV induced skin cancer. J Photochem Photobiol B. 2001;63:8-18.

34. Lear JT, Tan BB, Smith AG, Jones PW, Heagerty AH, Strange RC et al. A comparison of risk factors for malignant melanoma, squamous cell carcinoma and basal cell carcinoma in the UK. Int J Clin Pract. 1998;52:145-9.

35. Gallagher RP, Hill GB, Bajdik CD, Fincham S, Coldman AJ, McLean DI et al. Sunlight exposure, pigmentary factors, and risk of nonmelanocytic skin cancer. I. Basal cell carcinoma. Arch Dermatol. 1995;131:157-63. 36. Geller AC, Annas GD. Epidemiology of melanoma and nonmelanoma skin cancer. Semin Oncol Nurs. 2003;19:2-11.

37. De Hertog SA, Wensveen CA, Bastiaens MT, Kielich CJ, Berkhout MJ, Westendorp R et al. Relation between smoking and skin cancer. J Clin Oncol. 2001;19:231-8.

38. Freiman A, Bird G, Metelitsa Al, Brankin B, Lauzon GJ. Cutaneous effects of smoking. J Cutan Med Surg. 2004;8:415-23.

39. Okida F, Madalosso G, Souza TL, Pouza CET, Scaff A, Romit, N. Estudo da prevalência de casos de câncer da pele e análise da eficácia da proteção solar na prevenção de lesões causadas por radiação ultravioleta em uma amostra da população. An Bras Dermatol. 2001;76:403-12.

40. Sahl WJ, Glore S, Garrison P, Oakleaf K, Johnson SD. Basal cell carcinoma and lifestyle characteristics. Int J Dermatol. 1995;34:398-402.

41. van der Pols JC, Williams GM, Pandeya N, Logan V, Green AC. Prolonged prevention of squamous cell carcinoma of the skin by regular sunscreen use. Cancer Epidemiol Biomarkers Prev. 2006;15:2546-8.

42. INCA. Prevalência de tabagismo no Brasil. 2004. Rio de Janeiro: Ministério da Saúde. Secretaria de Atenção à Saúde. Instituto Nacional de Câncer; 2004. p. 2.

43. Lupi O, Nunes S, Gomes Neto A et al. Doenças dermatológicas no Brasil: perfil atitudinal e epidemiológico. An Bras Dermatol. 2010;85:S1-S20.

44. Betti R, Inselvini E, Carducci M, Crosti C. Age and site prevalence of histologic subtypes of basal cell carcinomas. Int J Dermatol. 1995;34:174-6.

45. Friedman-Birnbaum R, Linn S, Eidlitz-Markus T, Harth Y, Cohen E. Seborrheic skin and acne vulgaris as protective factors against the development of basal cell epithelioma. Dermatologica. 1991;183:160-3.

46. Mancuso M, Gallo D, Leonardi S, Pierdomenico M, Pasquali E, De Stefano I et al. Modulation of basal and squamous cell carcinoma by endogenous estrogen in mouse models of skin cancer. Carcinogenesis. 2009;30:340-7.

47. Sverko V, Sobocanec S, Balog T, Marotti T. Age and gender differences in antioxidant enzyme activity: potential relationship to liver carcinogenesis in male mice. Biogerontology. 2004;5:235-42.

48. Weinstock MA. Controversies in the public health approach to keratinocyte carcinomas. Br J Dermatol. 2006;154(Suppl 1):3-4.

49. Rubin P, Mykula R, Griffiths RW. Ectropion following excision of lower eyelid tumours and full thickness skin graft repair. Br J Plast Surg. 2005;58:353-60.

50. Van Hattem S, Aarts MJ, Louwman WJ, Neumann HA, Coebergh JW, Looman CW et al. Increase in basal cell carcinoma incidence steepest in individuals with high socioeconomic status: results of a cancer registry study in The Netherlands. Br J Dermatol. 2009;161:840-5.

51. Gohara MA. Skin cancer in skins of color. J Drugs Dermatol. 2008;7:441-5.

52. Gloster HM Jr, Neal K. Skin cancer in skin of color. J Am Acad Dermatol. 2006;55:741-60.

53. Jackson BA. Non melanoma skin cancer in persons of color. Semin Cutan Med Surg. 2009;28:93-5.

54. Hennekens CH, Buring JE. Epidemiology in medicine. Boston: Little, Brown and Co; 1987. v. 1.

55. Rosso S, Minarro R, Schraub S, Tumino R, Franceschi S, Zanetti R et al. Reproducibility of skin characteristic measurements and reported sun exposure history. Int J Epidemiol. 2002;31:439-46.

56. English DR, Armstrong BK, Kricker A. Reproducibility of reported measurements of sun exposure in a case-control study. Cancer Epidemiol Biomarkers Prev. 1998;7:857-63.

57. Weinstock MA, Bingham SF, Cole GW, Eilers D, Naylor MF, Kalivas J et al. Reliability of counting actinic keratoses before and after brief consensus discussion: the VA topical tretinoin chemoprevention (VATTC) trial. Arch Dermatol. 2001;137:1055-8.

58. Foote JA, Harris RB, Giuliano AR, Roe DJ, Moon TE, Cartmel B et al. Predictors for cutaneous basal- and squamous-cell carcinoma among actinically damaged adults. Int J Cancer. 2001;95:7-11.

59. Lear JT, Harvey I, de Berker D, Strange RC, Fryer AA. Basal cell carcinoma. J R Soc Med. 1998;91:585-8.

60. Sociedade Brasileira de Dermatologia SBD. Análise de dados das campanhas de prevenção ao câncer da pele promovidas pela Sociedade Brasileira de Dermatologia de 1999 a 2005. An Bras Dermatol. 2006;81:533-9

Submitted on: 09/27/2011

Approved on: 12/19/2011

Conflict of interest: None.

Study conducted at the Departament of Dermatology, School of Medicine of Botucatu, Universidade Estadual Paulista (UNESP), Botucatu, SP, Brazil

  • 1. INCA. Estimativas 2010: Incidência de câncer no Brasil. Rio de Janeiro: Ministério da Saúde. Secretaria de Atenção à Saúde. Instituto Nacional de Câncer. Coordenação de Prevenção e Vigilância de Câncer; 2009. p. 98.
  • 2. Lear W, Dahlke E, Murray CA. Basal cell carcinoma: review of epidemiology, pathogenesis, and associated risk factors. J Cutan Med Surg. 2007;11:19-30.
  • 3. Roewert-Huber J, Lange-Asschenfeldt B, Stockfleth E, Kerl H. Epidemiology and aetiology of basal cell carcinoma. Br J Dermatol. 2007; 157(Suppl 2):47-51.
  • 4. Chinem VP, Miot HA. Epidemiology of basal cell cacinoma. An Bras Dermatol. 2011;86:292-305.
  • 5. Schmitt JV, Chinem VP, Marques MEA, Miot HA. Aumento da incidência de carcinoma basocelular em hospital universitário: 1999 a 2009. An Bras Dermatol. 2011;86:375-7.
  • 6. Ferrandiz C, Fuente MJ, Ferrandiz L, Carrascosa JM. Basal cell carcinoma. Cancer Treat Res. 2009;146:263-78.
  • 7. Rubin AI, Chen EH, Ratner D. Basal-cell carcinoma. N Engl J Med. 2005;353:2262-9
  • 8. Chren MM, Sahay AP, Bertenthal DS, Sen S, Landefeld CS. Quality-of-life outcomes of treatments for cutaneous basal cell carcinoma and squamous cell carcinoma. J Invest Dermatol 2007;127:1351-7.
  • 9. Madan V, Hoban P, Strange RC, Fryer AA, Lear JT. Genetics and risk factors for basal cell carcinoma. Br J Dermatol. 2006;154(Suppl 1):5-7.
  • 10. Welsh MM, Karagas MR, Applebaum KM, Spencer SK, Perry AE, Nelson HH. A role for ultraviolet radiation immunosuppression in non-melanoma skin cancer as evidenced by gene-environment interactions. Carcinogenesis. 2008;29:1950-4.
  • 11. Donovan J. Review of the hair follicle origin hypothesis for basal cell carcinoma. Dermatol Surg. 2009;35:1311-23.
  • 12. Leiter U, Garbe C. Epidemiology of melanoma and nonmelanoma skin cancer-- the role of sunlight. Adv Exp Med Biol. 2008;624:89-103.
  • 13. Hoban PR, Ramachandran S, Strange RC. Environment, phenotype and genetics: risk factors associated with BCC of the skin. Expert Rev Anticancer Ther. 2002;2:570-9.
  • 14. Scrivener Y, Grosshans E, Cribier B. Variations of basal cell carcinomas according to gender, age, location and histopathological subtype. Br J Dermatol. 2002;147:41-7.
  • 15. Pelucchi C, Di Landro A, Naldi L, La Vecchia C, Oncology Study Group of the Italian Group for Epidemiologic Research in Dermatology (GISED). Risk factors for histological types and anatomic sites of cutaneous basal-cell carcinoma: an Italian case-control study. J Invest Dermatol. 2007;127:937-44.
  • 16. Rocha FP, Menezes AMB, Almeida Jr HL, Tomasi E. Marcadores e fatores de risco para queratoses actínicas e carcinomas basocelulares: um estudo de casocontrole. An Bras Dermatol. 2004;79:441-54.
  • 17. Maia M, Proenca NG, Moraes JC. Risk factors for basal cell carcinoma: a casecontrol study. Rev Saúde Pública. 1995;29:27-37.
  • 18. Richmond-Sinclair NM, Pandeya N, Williams GM, Neale RE, van der Pols JC, Green AC. Clinical signs of photodamage are associated with basal cell carcinoma multiplicity and site: A 16-year longitudinal study. Int J Cancer. 2010;127:2622-9.
  • 19. Fitzpatrick TB. Soleil et peau. J Med Esthet. 1975;2:33-4.
  • 20. Bagley SC, White H, Golomb BA. Logistic regression in the medical literature: standards for use and reporting, with particular attention to one medical domain. J Clin Epidemiol. 2001;54:979-85.
  • 21. Rahman M, Sakamoto J, Fukui T. Conditional versus unconditional logistic regression in the medical literature. J Clin Epidemiol. 2003;56:101-2.
  • 22. Greenland S. Modeling and variable selection in epidemiologic analysis. Am J Public Health. 1989;79:340-9.
  • 23. SPSS 17.0 for Windows. 17th ed. Chicago (IL): SPSS Incorporation, Statistical Package for Social Science (SPSS); 2008.
  • 24. Ortega CM, Cayuela DA. Unconditioned logistic regression and sample size: a bibliographic review. Rev Esp Salud Publica. 2002;76:85-93.
  • 25. Demidenko E. Sample size and optimal design for logistic regression with binary interaction. Stat Med. 2008;27:36-46.
  • 26. Sociedade Brasileira de Dermatologia SBD. Perfil nosológico das consultas dermatológicas no Brasil. An Bras Dermatol. 2006;81:549-58.
  • 27. Van Steensel MA, Jaspers NG, Steijlen PM. A case of Rombo syndrome. Br J Dermatol. 2001;144:1215-8.
  • 28. Kidd A, Carson L, Gregory DW, Silva D, Holmes J, Dean JC et al. A Scotish family with Bazex-Dupre-Christol syndrome: follicular atrophoderma, congenital hipotrichosis, and basal cell carcinoma. J Med Genet. 1996;33:493-7.
  • 29. Gon AS. Fatores de risco para o carcinoma basocelular: estudo de casos e controles. In: Curso de Pós-graduação em medicina e ciências da saúde da Universidade Estadual de Londrina. PhD. Londrina: Universidade Estadual de Londrina - UEL; 2008. p. 76.
  • 30. Walther U, Kron M, Sander S, Sebastian G, Sander R, Peter RU et al. Risk and protective factors for sporadic basal cell carcinoma: results of a two-centre case-control study in southern Germany. Clinical actinic elastosis may be a protective factor. Br J Dermatol. 2004;151:170-8.
  • 31. Lascano AR, Kuznitzky R, Garay I, Ducasse C, Albertini R. Factores de riesgo para carcinoma basocelular. Estudio de casos-controles en Cordoba. Medicina (B. Aires). 2005;65:495-500.
  • 32. Diepgen TL, Mahler V. The epidemiology of skin cancer. Br J Dermatol. 2002;146(Suppl 61):1-6.
  • 33. Armstrong BK, Kricker A. The epidemiology of UV induced skin cancer. J Photochem Photobiol B. 2001;63:8-18.
  • 34. Lear JT, Tan BB, Smith AG, Jones PW, Heagerty AH, Strange RC et al. A comparison of risk factors for malignant melanoma, squamous cell carcinoma and basal cell carcinoma in the UK. Int J Clin Pract. 1998;52:145-9.
  • 35. Gallagher RP, Hill GB, Bajdik CD, Fincham S, Coldman AJ, McLean DI et al. Sunlight exposure, pigmentary factors, and risk of nonmelanocytic skin cancer. I. Basal cell carcinoma. Arch Dermatol. 1995;131:157-63.
  • 36. Geller AC, Annas GD. Epidemiology of melanoma and nonmelanoma skin cancer. Semin Oncol Nurs. 2003;19:2-11.
  • 37. De Hertog SA, Wensveen CA, Bastiaens MT, Kielich CJ, Berkhout MJ, Westendorp R et al. Relation between smoking and skin cancer. J Clin Oncol. 2001;19:231-8.
  • 38. Freiman A, Bird G, Metelitsa Al, Brankin B, Lauzon GJ. Cutaneous effects of smoking. J Cutan Med Surg. 2004;8:415-23.
  • 39. Okida F, Madalosso G, Souza TL, Pouza CET, Scaff A, Romit, N. Estudo da prevalência de casos de câncer da pele e análise da eficácia da proteção solar na prevenção de lesões causadas por radiação ultravioleta em uma amostra da população. An Bras Dermatol. 2001;76:403-12.
  • 40. Sahl WJ, Glore S, Garrison P, Oakleaf K, Johnson SD. Basal cell carcinoma and lifestyle characteristics. Int J Dermatol. 1995;34:398-402.
  • 41. van der Pols JC, Williams GM, Pandeya N, Logan V, Green AC. Prolonged prevention of squamous cell carcinoma of the skin by regular sunscreen use. Cancer Epidemiol Biomarkers Prev. 2006;15:2546-8.
  • 42
    INCA. Prevalência de tabagismo no Brasil. 2004. Rio de Janeiro: Ministério da Saúde. Secretaria de Atenção à Saúde. Instituto Nacional de Câncer; 2004. p. 2.
  • 43. Lupi O, Nunes S, Gomes Neto A et al. Doenças dermatológicas no Brasil: perfil atitudinal e epidemiológico. An Bras Dermatol. 2010;85:S1-S20.
  • 44. Betti R, Inselvini E, Carducci M, Crosti C. Age and site prevalence of histologic subtypes of basal cell carcinomas. Int J Dermatol. 1995;34:174-6.
  • 45. Friedman-Birnbaum R, Linn S, Eidlitz-Markus T, Harth Y, Cohen E. Seborrheic skin and acne vulgaris as protective factors against the development of basal cell epithelioma. Dermatologica. 1991;183:160-3.
  • 46. Mancuso M, Gallo D, Leonardi S, Pierdomenico M, Pasquali E, De Stefano I et al. Modulation of basal and squamous cell carcinoma by endogenous estrogen in mouse models of skin cancer. Carcinogenesis. 2009;30:340-7.
  • 47. Sverko V, Sobocanec S, Balog T, Marotti T. Age and gender differences in antioxidant enzyme activity: potential relationship to liver carcinogenesis in male mice. Biogerontology. 2004;5:235-42.
  • 48. Weinstock MA. Controversies in the public health approach to keratinocyte carcinomas. Br J Dermatol. 2006;154(Suppl 1):3-4.
  • 49. Rubin P, Mykula R, Griffiths RW. Ectropion following excision of lower eyelid tumours and full thickness skin graft repair. Br J Plast Surg. 2005;58:353-60.
  • 50. Van Hattem S, Aarts MJ, Louwman WJ, Neumann HA, Coebergh JW, Looman CW et al. Increase in basal cell carcinoma incidence steepest in individuals with high socioeconomic status: results of a cancer registry study in The Netherlands. Br J Dermatol. 2009;161:840-5.
  • 51. Gohara MA. Skin cancer in skins of color. J Drugs Dermatol. 2008;7:441-5.
  • 52. Gloster HM Jr, Neal K. Skin cancer in skin of color. J Am Acad Dermatol. 2006;55:741-60.
  • 53. Jackson BA. Non melanoma skin cancer in persons of color. Semin Cutan Med Surg. 2009;28:93-5.
  • 54. Hennekens CH, Buring JE. Epidemiology in medicine. Boston: Little, Brown and Co; 1987. v. 1.
  • 55. Rosso S, Minarro R, Schraub S, Tumino R, Franceschi S, Zanetti R et al. Reproducibility of skin characteristic measurements and reported sun exposure history. Int J Epidemiol. 2002;31:439-46.
  • 56. English DR, Armstrong BK, Kricker A. Reproducibility of reported measurements of sun exposure in a case-control study. Cancer Epidemiol Biomarkers Prev. 1998;7:857-63.
  • 57. Weinstock MA, Bingham SF, Cole GW, Eilers D, Naylor MF, Kalivas J et al. Reliability of counting actinic keratoses before and after brief consensus discussion: the VA topical tretinoin chemoprevention (VATTC) trial. Arch Dermatol. 2001;137:1055-8.
  • 58. Foote JA, Harris RB, Giuliano AR, Roe DJ, Moon TE, Cartmel B et al. Predictors for cutaneous basal- and squamous-cell carcinoma among actinically damaged adults. Int J Cancer. 2001;95:7-11.
  • 59. Lear JT, Harvey I, de Berker D, Strange RC, Fryer AA. Basal cell carcinoma. J R Soc Med. 1998;91:585-8.
  • 60. Sociedade Brasileira de Dermatologia SBD. Análise de dados das campanhas de prevenção ao câncer da pele promovidas pela Sociedade Brasileira de Dermatologia de 1999 a 2005. An Bras Dermatol. 2006;81:533-9
  • Correspondence to:

    Hélio Amante Miot
    Departamento de Dermatologia e Radioterapia, SN Campus Universitário
    CEP: 18618-000 Botucatu, SP, Brazil
    Phone/Fax: +55 (14) 3882-4922
  • Publication Dates

    • Publication in this collection
      04 May 2012
    • Date of issue
      Apr 2012

    History

    • Received
      27 Sept 2011
    • Accepted
      19 Dec 2011
    Associação Médica Brasileira R. São Carlos do Pinhal, 324, 01333-903 São Paulo SP - Brazil, Tel: +55 11 3178-6800, Fax: +55 11 3178-6816 - São Paulo - SP - Brazil
    E-mail: ramb@amb.org.br