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Record W4249313014 · doi:10.1158/1055-9965.epi-07-0391

Counterpoint: Sunscreen Use Is a Safe and Effective Approach to Skin Cancer Prevention

2007· letter· en· W4249313014 on OpenAlexaboutno aff
Marianne Berwick

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2007
Typeletter
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
Fundersnot available
KeywordsSunburnSkin cancerDermatologyBasal cell carcinomaMedicineBasal cellMelanomaCancerPathologyInternal medicineCancer research

Abstract

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Sunscreens prevent sunburn. They have also been proven to be somewhat effective in preventing squamous cell carcinoma (1). However, both the most numerous (basal cell carcinoma) and the most deadly (melanoma) skin cancers have little evidence for efficacy of sunscreens. Therefore, using sunscreens as an approach to skin cancer prevention for basal cell carcinoma or cutaneous malignant melanoma (CMM) at this point in time is unsupported. The epidemiologic evidence for the utility of sunscreens in preventing basal cell carcinoma or CMM is flawed by poor reliability, potential negative confounding, inadequate latency between sunscreen use and development of basal cell carcinoma or CMM, and inaccurate measurement of sunscreen application.Suggestions have been made that sunscreens actually increase risk for skin cancer (2), although the most likely way that this association might occur is when individuals use sunscreens to prolong their stay in the sun (3-7), and so it is possible that the use of sunscreens for intentional sun exposure may actually increase risk.Evaluation of sunscreen use is closely linked to reported sunburn history. Measurement error is a more serious problem in evaluating sunburn history than other sun-associated variables (8-10). Test-retest reliability studies have shown that sunburn history is poorly recalled with only a little over half the subjects giving the same answer at two points in time to the question: “Have you ever been sunburned severely enough to cause pain or blisters for two days or more?” Other sun-associated variables, such as time spent outdoors during recreation, for example, seem to be more reliably remembered (9).The relationship between sun exposure, sunscreen use, and the development of skin cancer is often negatively confounded. Subjects who are extremely sun sensitive often engage in fewer activities in the bright sun and wear sunscreen when they do. As these subjects are susceptible to the development of skin cancer, they may develop skin cancer regardless of the amount of sunlight exposure or the sun protection factor of the sunscreen.Latency between initiation and the development of melanoma is generally thought to be >10 years and likely to be as long as 40 years. All the studies reported to date have examined subjects diagnosed between 1979 and 1998 (11), none of whom would have rigorously used sunscreens 20 years before diagnosis as they were not marketed widely.If sunscreens were to be a safe and reliable method to prevent all skin cancers, then one might expect to find a stronger relationship between sun exposure and the development of melanoma than is currently seen. Analytic epidemiologic studies have shown only modest risks for the role of sun exposure in the development of melanoma incidence; three meta-analyses show almost the same estimates of effect for the role of intermittent sun exposure, an odds ratio of 1.6 (14-16). Importantly, chronic sun exposure, as in those occupationally exposed to sunlight, does not seem to increase risk for the development of melanoma and is sometimes associated with a protective effect, with an odds ratio of 0.70, equivocal for the development of basal cell carcinoma, and a clear risk factor for squamous cell carcinoma (12). Public health campaigns that advise those with outdoor occupations to use sunscreen on a regular basis to prevent skin cancer are undoubtedly misguided, as these individuals do not seem to be at increased risk for melanoma.Sunscreen use has not thus far been clearly associated with CMM, either positively or negatively. Eighteen published studies were pooled using standard meta-analytic techniques to examine the relationship between sunscreen use and melanoma (13). No association was seen between melanoma and sunscreen use, in either direction. These studies suffer from several limitations, the most serious of which are noted above (reliability of measure, potential uncontrollable negative confounding, latency period for the development of melanoma, and inaccurate measurement of sunscreen application).Nevi, multiple and/or atypical, have been considered a surrogate marker for the development of melanoma. Randomized trials of sunscreen application or other sun protection have had inconsistent results about the role of sunscreen in preventing nevus formation. A small study of 309 children by Gallagher et al. (17) in Western Canada found a very small preventive effect for sunscreen; children in the sunscreen group developed fewer nevi than children in the control group, 24 versus 28. In a further analysis of these data, Lee et al. (18) reported that this effect was found mainly on the trunk, three versus five nevi, respectively. Another larger randomized trial of 970 children in Western Australia (19) found that sunscreen was not associated with the number of nevi on children's backs but that wearing clothing was protective. Several other cross-sectional studies have shown protective effects of clothing (e.g., refs. 20, 21) and a few have shown protective effects of sunscreen (e.g., ref. 22).These conflicting and sometimes null results are consistent with the idea that sunburn, which sunscreen prevents, is only a marker of the interaction between exposure and susceptibility and that elimination of sunburn will have little effect on the development of CMM. Furthermore, it is consistent with an alternative mechanism for the development of CMM. Recent efforts to evaluate the pathways to the development of melanoma include targeting the melanocortin 1 receptor and stimulating DNA repair capacity (23). It is important to realize that the field of skin cancer prevention is still in its infancy and that it is highly complex (24). Until the mechanisms for initiation and promotion for skin cancer are clearly elucidated, it would be well to take great care in the claims for either prevention of all skin cancer by sunscreens or promotion of any skin cancer by sunscreens. Blanket advice to the public to wear sunscreens at any time outdoors is not at this time warranted. Instead, advice should focus on individual risk characteristics that are unequivocal, such as pigmentary phenotype, family history, and nevus type and number, and recommend avoidance of sun exposure by those who are clearly at high risk and reasonable enjoyment of outdoor activities with less anxiety by those who are clearly at reduced risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.061
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0610.020

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.393
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2007
Admission routes1
Has abstractyes

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