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Record W4210423441 · doi:10.1111/ddg.14649

COX‐2 inhibitors show no preventive effect in the development of skin cancer

2022· article· en· W4210423441 on OpenAlexaff
Hsuan Yen, Hsi Yen, Aaron M. Drucker, Jiali Han, Wenqing Li, Tricia Li, Abrar A. Qureshi, Eunyoung Cho

Bibliographic record

VenueJDDG Journal der Deutschen Dermatologischen Gesellschaft · 2022
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsWomen's College HospitalUniversity of Toronto
FundersNational Cancer Institute
KeywordsHazard ratioMedicineProportional hazards modelSkin cancerInternal medicineCancerConfidence intervalProspective cohort studyBasal cell carcinomaMelanomaOncologyRelative riskBasal cellCancer research

Abstract

fetched live from OpenAlex

BACKGROUND: Some clinical trials found that cyclooxygenase-2 (COX-2) inhibitor use lowered the risk of skin cancer in high-risk groups. PATIENTS AND METHODS: To determine whether COX-2 inhibitor use is associated with lower risk of basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (cSCC), and melanoma, we analyzed COX-2 inhibitor use and risk of skin cancer based on three prospective cohort studies, the Nurses' Health Study (NHS), NHS II, and the Health Professionals Follow-up Study, including 153,882 participants. Multivariable hazard ratios (HRs) and 95 % confidence intervals (CIs) for the association of COX-2 inhibitor use with risk of BCC, cSCC, and melanoma were estimated using Cox proportional hazards models. We pooled the results using a fixed effects model. RESULTS: 16,142 BCC, 1,973 cSCC, and 631 melanoma cases were documented. Ever vs. never use of COX-2 inhibitor was associated with a modestly increased risk of BCC (multivariable HR 1.09, 95 % CI 1.05-1.14). The hazard ratio was similar for cSCC (multivariable HR 1.12, 95 % CI 1.00-1.27) and melanoma (multivariable HR 1.10, 95 % CI 0.89-1.38), but was not statistically significant. CONCLUSIONS: Ever use of COX-2 inhibitor was not associated with a decreased skin cancer risk but was instead associated with a modest, increased risk of BCC.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.281
Teacher spread0.270 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJDDG Journal der Deutschen Dermatologischen GesellschaftSame topicInflammatory mediators and NSAID effectsFrench-language works237,207