Association Between the Use of Thiazide Diuretics and the Risk of Skin Cancers: A Meta-Analysis of Observational Studies
Why this work is in the frame
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Bibliographic record
Abstract
Background: Thiazide diuretics are among the most widely prescribed antihypertensive agents. Given their photosensitizing effects, however, there are concerns that they may increase the risk of skin cancers. In this meta-analysis, we investigated an association between the use of thiazide diuretics and the risk of skin cancers. Methods: We identified studies by searching three electronic databases (PubMed, EMBASE, and the Cochrane Library) from their inception to October 30, 2017. Nine relevant observational studies (seven case-control and two cohort studies) were included in this study. Since included studies were unlikely to be functionally equal, pooled estimates were calculated using random-effects meta-analysis. Results: The use of thiazide diuretics was associated with an increased risk of squamous cell carcinoma (adjusted odds ratio (aOR), 1.86; 95% confidence interval (CI), 1.23 - 2.80) and marginally increased risk of basal cell carcinoma (aOR, 1.19; 95% CI, 1.02 - 1.38) and malignant melanoma (aOR, 1.14; 95% CI, 1.01 - 1.29). In the subgroup analysis, hydrochlorothiazide or hydrochlorothiazide combination medications were significantly associated with squamous cell carcinoma without significant heterogeneity among studies (aOR, 2.04; 95% CI, 1.79 - 2.33; Higgin’s I 2 value = 0.0 %; Q-statistics = 2.7, P value = 0.445). Conclusions: Our results suggested that the use of thiazide diuretics may be associated with an increased risk of skin cancers. This association was most prominent between the use of hydrochlorothiazide or hydrochlorothiazide combination medications and the risk of squamous cell carcinoma. Further studies are needed to confirm these findings. J Clin Med Res. 2019;11(4):247-255 doi: https://doi.org/10.14740/jocmr3744
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.072 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it