ArticleeLife2025
Critique of impure reason: Unveiling the reasoning behaviour of medical large language models.
Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Methodological Pluralism in Surgical Evidence: from Concept to Practice.Surgery in practice and science · 2026Review
- Evaluation of Prompt Design and Internal Reasoning in Chatbot-Based Medical History Taking: Simulation Study.JMIR medical informatics · 2026Article
- Artificial intelligence advancements for orthopaedic clinical reasoning: longitudinal assessment of newer models (ChatGPT-5, Grok-3, Gemini 2.5 Flash) compared to clinicians.Archives of orthopaedic and trauma surgery · 2026Article
- PHO-Agents: A Large Language Model-Powered Multi-Agent System for Predicting Health Outcomes.medRxiv : the preprint server for health sciences · 2026Article
- Beyond Search Engine Optimization: How Large Language Models Are Redefining Surgeon Visibility.Plastic and reconstructive surgery. Global open · 2026Article
- Evaluating the performance of ChatGPT-5, Claude, and DeepSeek for statistical analysis in medicine.Internal and emergency medicine · 2026Article
- Article
- Benchmarking large language model-based agent systems for clinical decision tasks.NPJ digital medicine · 2026Article
- A roadmap for medical large language models: a review of foundations, applications, and challenges.Military Medical Research · 2026Review
- Making Chatbots more human: deep reasoning large language models in ophthalmology.Frontiers in medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the current ubiquity of large language models (LLMs) across the medical domain, there is a surprising lack of studies which address their
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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.