<scp>SSRIs</scp> associated with decreased risk of hepatocellular carcinoma: A population‐based case‐control study
Bibliographic record
Abstract
BACKGROUND: Hepatocellular carcinoma (HCC) is the second leading cancer-related cause of mortality worldwide. Antidepressants, especially selective serotonin reuptake inhibitors (SSRIs), are commonly used worldwide. Available evidence investigating the association between SSRIs use and HCC risk is limited. OBJECTIVE: The present study aimed to investigate if the effect of all kinds of SSRIs on HCC was the same or not using population-based study. METHODS: The nationwide population-based study herein using Taiwan's National Health Insurance Research Database included a total of 59 859 cases with HCC and 285 124 matched controls. Conditional logistic regression analyses were adjusted for confounding variables. RESULTS: All common kinds of SSRIs including fluoxetine, sertraline, paroxetine, citalopram, escitalopram, and fluvoxamine were associated with lower HCC risk, and the findings were dose-dependent (eg, fluoxetine: 1-28 DDD [defined daily dose]: adjusted odds ratio [aOR]: 0.81, 95% confidence interval [CI], 0.73-0.89; 29-365 DDD: aOR: 0.71, 95% CI, 0.64-0.79; and ≥366 DDD: aOR: 0.55, 95% CI, 0.45-0.67) (P for trend < .001). CONCLUSIONS: All kinds of SSRIs were associated with decreased risk of HCC.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".