Can We Ask ChatGPT About Drug Safety? Appropriateness of ChatGPT Responses to Questions About Drug Use and Adverse Reactions Received by Pharmacovigilance Centers.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

2 citing papers in PubMed.

1. Large Language Models in Adverse Drug Reaction Detection and Pharmacovigilance: A Systematic Review of Current Applications, Challenges, and Future Directions.Diagnostics (Basel, Switzerland) · 2026
   Review
2. Can large language models detect drug-drug interactions leading to adverse drug reactions?Therapeutic advances in drug safety · 2025
   Article

Corrections and comments

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Authors and funding

4 authors.

Funding

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Abstract

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