For trustworthy AI, keep the human in the loop.

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.

1. Chest auscultation - tradition and expectationsScandinavian journal of primary health care · 2026
   Review
2. A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).Journal of the National Medical Association · 2026
   Review
3. A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health records.medRxiv : the preprint server for health sciences · 2026
   Article
4. DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI.ArXiv · 2026
   Article
5. Artificial Intelligence in Head and Neck Surgical Oncology: A State-of-the-Art Review.Journal of clinical medicine · 2026
   Review
6. Machine learning in ARDS: an intensivist's guide to artificial intelligence applications.Critical care (London, England) · 2026
   Review
7. Clinical AI in Radiology: Foundations, Trends, Applications, and Emerging Directions.Cancers · 2026
   Review
8. The potential of artificial intelligence in clinical trials.European journal of clinical investigation · 2026
   Review
9. Descriptive analysis of prescription interception patterns: characterizing medication safety risks in an outpatient setting.Frontiers in pharmacology · 2026
   Article
10. A Fully Expert Human-Based Retrieval Augmented Generation (FEH-RAG) Framework: A Proof of Concept Study in Labelling Patients with Sjögren Syndrome.Medical journal of the Islamic Republic of Iran · 2026
    Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

0 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.