ArticleCJC open2025
Evaluation of Information About Cardiovascular Implications of Gender-Affirming Care From Online Chat-based Artificial Intelligence Systems.
Article in CJC open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Because of restrictive laws in multiple states for gender-affirming care, patients might be prompted to get recommendations from contemporary online chatbots. This study explored the appropriateness of such recommendations using validated tools to assess patient education materials by a team of LGBTQ-affirming cardiologists. The study showed that although all systems emphasize the need for multidisciplinary care, there were notable differences in the comprehensiveness, cultural appropriateness, and presentation of their responses. GPT-4 (https://chatbotapp.ai) and Gemini (https://gemini.google.com/app) outperformed Bing (https://copilot.microsoft.com), particularly in the balanced and culturally sensitive delivery of information.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.