Comparative Safety Assessment Study for Drospirenone Induced Gallbladder Diseases Using the Adverse Drug Reaction Database of USA, Europe, and Canada
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Gallstone disease (GSD) is one of the most common gastroenterological disorders. It is known that drospirenone causes small increased risk of gallbladder diseases. However, the risk may vary between different adverse drug reaction databases. OBJECTIVE: The purpose of this studty is to examine the safety and risk association between hormonal contraceptive drospirenone and gallbladder diseases using adverse drug reaction database of USFDA's Federal Adverse Events Reporting System (FAERS), Europe's Eudravigilance (EV) and Canada's Canada Vigilance Adverse Reaction Online Database (CVARD). METHODS: Individual Case Safety Reports of patients till October 2019 were downloaded from the Federal Adverse Event Reporting System, Eudravigilance, and Canadian database. These reports contained information on adverse events associated with all other drugs inclusive of drospirenone. The disproportionality method of data mining was used to calculate the risk association. RESULTS: The lower limit of 95% CI of PRR was 3.27, 3.47 and 3.76, PRR was 33.08, 41.35 and 115.42, ROR was 37.20, 44.61 and 127.19, Chi-square value was 126572.89, 110392.95 and 362.46, and IC-2SD value was 0.16, 0.17, and 1.21 for FAERS, EU, and CVARD respectively indicating a week signal. Also, all the calculated parameters were above the threshold value. CONCLUSION: From our study, it was clear that the risk between drospirenone and gallbladder diseases was very low among three databases. There was no harm in prescribing this drug for a contraceptive action.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it