Evidence map›Paper›PMID 40003671›Full record

ArticleLife (Basel, Switzerland)2025

Assessing the Validity, Safety, and Utility of ChatGPT's Responses for Patients with Frozen Shoulder.

Seoyon Yang, Younji Kim, Min Cheol Chang, Jongwook Jeon, Keeyong Hong, You Gyoung Yi

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Seoyon YangDepartment of Rehabilitation Medicine, Ewha Woman's University Seoul Hospital, Ewha Woman's University School of Medicine, 191 Jinheung-ro, Eunpyeong-gu, Seoul 03397, Republic of Korea.
Younji KimDepartment of Rehabilitation Medicine, Ewha Woman's University Seoul Hospital, Ewha Woman's University School of Medicine, 191 Jinheung-ro, Eunpyeong-gu, Seoul 03397, Republic of Korea.ORCID 0000-0003-4242-2642
Min Cheol ChangDepartment of Rehabilitation Medicine, College of Medicine, Yeungnam University, Daegu 42415, Republic of Korea.ORCID 0000-0002-7629-7213
Jongwook JeonDepartment of Orthopedic Surgery, Dongbu Jeil Hospital, Mangu-ro, Jungnang-gu, Seoul 02399, Republic of Korea.
Keeyong HongDepartment of Orthopedic Surgery, Cheonho S Orthopedic Clinic, Seoul 06014, Republic of Korea.
You Gyoung YiDepartment of Rehabilitation Medicine, Ewha Woman's University Seoul Hospital, Ewha Woman's University School of Medicine, 191 Jinheung-ro, Eunpyeong-gu, Seoul 03397, Republic of Korea.ORCID 0000-0003-1791-1831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the potential of ChatGPT as a tool for providing information to patients with frozen shoulder, focusing on its validity, utility, and safety. Five experienced physicians selected fourteen key questions on musculoskeletal disorders after discussion and verified their adequacy by consulting one hundred and twenty frozen shoulder patients for additional or alternative inquiries. These questions were input into ChatGPT version 4.0, and its responses were assessed by the physicians using a 5-point Likert scale, with scores ranging from 1 (least favorable) to 5 (most favorable) in terms of validity, safety, and utility. The findings showed that for validity, 85.7% of the responses scored 5, and 14.3% scored 4. For safety, 92.9% received a score of 5, while one response received a 4. Utility ratings also demonstrated high scores, with 85.7% of responses rated 5 and 14.3% rated 4. These results indicate that ChatGPT provides generally valid, safe, and useful information for patients with frozen shoulder. However, users should be aware of potential gaps or inaccuracies, and continued updates are necessary to ensure reliable and accurate guidance. It should not be considered a substitute for professional medical advice, diagnosis, or treatment, highlighting the need for continued updates to ensure reliable and accurate guidance.

Indexed as

adhesive capsulitisartificial intelligenceChatGPTfrozen shouldermusculoskeletal disorderssafetyutilityvalidity

Identifiers

PMID40003671
PMCPMC11857066

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.