Evidence map›Paper›PMID 40095693›Full record

ArticleJournal of clinical medicine2025

An Assessment of ChatGPT's Responses to Common Patient Questions About Lung Cancer Surgery: A Preliminary Clinical Evaluation of Accuracy and Relevance.

Marina Troian, Stefano Lovadina, Alice Ravasin, Alessia Arbore, Aneta Aleksova, Elisa Baratella, Maurizio Cortale

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Accuracy and Reliability of ChatGPT in Answering Patient Questions About Lung Cancer and Its Surgery: An Expert Panel Evaluation by Thoracic Surgeons.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
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

7 authors.

Marina TroianThoracic Surgery Unit, Cattinara University Hospital, 34149 Trieste, Italy.ORCID 0000-0001-7867-1646
Stefano LovadinaThoracic Surgery Unit, Cattinara University Hospital, 34149 Trieste, Italy.ORCID 0009-0001-3305-9565
Alice RavasinThoracic Surgery Unit, Careggi University Hospital, 50134 Florence, Italy.ORCID 0009-0001-1592-8069
Alessia ArboreThoracic Surgery Unit, Cattinara University Hospital, 34149 Trieste, Italy.
Aneta AleksovaDepartment of Medical, Surgical and Health Sciences, University of Trieste, 34151 Trieste, Italy.ORCID 0000-0001-7711-9905
Elisa BaratellaDepartment of Medical, Surgical and Health Sciences, University of Trieste, 34151 Trieste, Italy.ORCID 0000-0002-1061-9507
Maurizio CortaleThoracic Surgery Unit, Cattinara University Hospital, 34149 Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligence (AI)ChatGPTlung canceroutpatient settingpatient educationthoracic surgery

Identifiers

PMID40095693
PMCPMC11900997

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.