Evidence map›Paper›PMID 42379138›Full record

ArticleJournal of medical Internet research2026

Large Language Model Versus Multidisciplinary Team: Feasibility Study of Pancreatic Cancer Management Recommendations.

Zhuoran Liu, Xin Zhao, Tianyang Mao, Heng Zhou, Kangyi Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical Internet research, 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

5 authors.

Zhuoran Liu *Department of Hepato-Pancreato-biliary Surgery, People's Hospital of Leshan, No.238 Huian street, Shizhong District, Leshan, Sichuan Province, 614000, China, 86 833 211 9306.ORCID http://orcid.org/0009-0007-0958-4785
Xin Zhao *Department of General Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID http://orcid.org/0000-0002-3935-5998
Tianyang MaoDepartment of Hepato-Pancreato-biliary Surgery, People's Hospital of Leshan, No.238 Huian street, Shizhong District, Leshan, Sichuan Province, 614000, China, 86 833 211 9306.ORCID http://orcid.org/0009-0003-2453-3506
Heng ZhouDepartment of Hepato-Pancreato-biliary Surgery, People's Hospital of Leshan, No.238 Huian street, Shizhong District, Leshan, Sichuan Province, 614000, China, 86 833 211 9306.ORCID http://orcid.org/0009-0006-5031-857X
Kangyi JiangDepartment of Hepato-Pancreato-biliary Surgery, People's Hospital of Leshan, No.238 Huian street, Shizhong District, Leshan, Sichuan Province, 614000, China, 86 833 211 9306.ORCID http://orcid.org/0000-0002-6235-5443

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: Of 269 pancreatic cancer multidisciplinary team cases, 125 complete structured cases were evaluated. The chat interface model labeled ChatGPT-5.2 matched the multidisciplinary team's broad initial management category in 119 cases (95.2%, 95% CI 89.8%-98.2%). The end point was coarse, and the model was not version controlled, so findings only support supervised exploratory use.

Indexed as

Pancreatic NeoplasmsPatient Care TeamFeasibility StudiesHumansLarge Language Modelsartificial intelligenceclinical decision supportlarge language modelsLLMMDTmultidisciplinary teampancreatic cancer

Identifiers

PMID42379138
PMCPMC13318394

What OpenQuestion holds

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Registered trials

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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.