Evidence map›Paper›PMID 40219840›Full record

ArticleHand (New York, N.Y.)2026

Assessing the Usability of ChatGPT Responses Compared to Other Online Information in Hand Surgery.

Ophelie Z Lavoie-Gagne, Oscar Y Shen, Neal C Chen, Abhiram R Bhashyam

Abstract readComparative Study
In one paragraph

Article in Hand (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Ophelie Z Lavoie-GagneHarvard Medical School, Boston, MA, USA.ORCID 0000-0002-1197-747X
Oscar Y ShenHarvard Medical School, Boston, MA, USA.
Neal C ChenHarvard Medical School, Boston, MA, USA.
Abhiram R BhashyamHarvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChatGPT is a natural language processing tool with potential to increase accessibility of health information. This study aimed to: (1) assess usability of online medical information for hand surgery topics; and (2) evaluate the influence of medical consensus.

methodsThree phrases were posed 20 times each to Google, ChatGPT-3.5, and ChatGPT-4.0: "What is the cause of carpal tunnel syndrome?" (high consensus), "What is the cause of tennis elbow?" (moderate consensus), and "Platelet-rich plasma for thumb arthritis?" (low consensus). Readability was assessed by grade level while reliability and accuracy were scored based on predetermined rubrics. Scores were compared via Mann-Whitney

resultsGoogle responses had superior readability for moderate-high consensus topics (

conclusionsCompared to Google, ChatGPT does not provide readable responses when providing reliable medical information. While patients can modulate ChatGPT readability with prompt engineering, this requires insight into their health literacy and is an additional barrier to accessing medical information. Medical consensus influences usability of online medical information for both Google and ChatGPT. Providers should remain aware of ChatGPT limitations in distributing medical information.

Indexed as

Consumer Health InformationHandInternetNatural Language ProcessingCarpal Tunnel SyndromeComprehensionConsensusGenerative Artificial IntelligenceHumansReproducibility of Resultsartificial intelligenceChatGPThand surgerylarge language modelmedical information

Identifiers

PMID40219840
PMCPMC11993548

What OpenQuestion holds

Textmetadata
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.