Evidence map›Paper›PMID 42502668›Full record

ArticleKidney international reports2026

Randomized Controlled Trial of Large Language Model-Assisted Diagnostic Accuracy in Nephrology.

Raphaël Bentegeac, Bastien Le Guellec, Mehdi Maanaoui, Erwin Gerard, Philippe Amouyel, Wisit Cheungpasitporn, Nans Florens, Aghiles Hamroun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney international reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

5 · Who and what money

Authors and funding

8 authors.

Raphaël BentegeacPublic Health - Epidemiology Department, Lille University Hospital Center, Lille, France.
Bastien Le GuellecUMR1167 RID-AGE, Pasteur Institute of Lille, Institut national de la santé et de la recherche médicale (INSERM), Lille University Hospital Center, Lille University, Lille, France.
Mehdi MaanaouiNephrology Department, Lille University Hospital Center, Lille, France.
Erwin GerardCentre Hospitalier Universitaire de Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Institut national de la santé et de la recherche médicale (INSERM), Universite Lille, Lille, France.
Philippe AmouyelPublic Health - Epidemiology Department, Lille University Hospital Center, Lille, France.
Wisit CheungpasitpornDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Nans FlorensNephrology Department, Hopitaux Universitaires de Strasbourg, Strasbourg, France.
Aghiles HamrounPublic Health - Epidemiology Department, Lille University Hospital Center, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceclinical decision supportlarge language model

Identifiers

PMID42502668
PMCPMC13400205

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.