Evidence map›Paper›PMID 38973820›Full record

ArticleTremor and other hyperkinetic movements (New York, N.Y.)2024

Assessing ChatGPT Ability to Answer Frequently Asked Questions About Essential Tremor.

Cristiano Sorrentino, Vincenzo Canoro, Maria Russo, Caterina Giordano, Paolo Barone, Roberto Erro

Abstract read
In one paragraph

Article in Tremor and other hyperkinetic movements (New York, N.Y.), 2024. 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. Review
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.

Cristiano SorrentinoDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Via Allende 43, 84081 Baronissi, SA, Italy.ORCID 0009-0003-6075-3899
Vincenzo CanoroDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Via Allende 43, 84081 Baronissi, SA, Italy.ORCID 0000-0003-3159-0157
Maria RussoDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Via Allende 43, 84081 Baronissi, SA, Italy.
Caterina GiordanoDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Via Allende 43, 84081 Baronissi, SA, Italy.
Paolo BaroneDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Via Allende 43, 84081 Baronissi, SA, Italy.ORCID 0000-0001-8965-2504
Roberto ErroDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Via Allende 43, 84081 Baronissi, SA, Italy.ORCID 0000-0002-7800-7419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Large-language models (LLMs) driven by artificial intelligence allow people to engage in direct conversations about their health. The accuracy and readability of the answers provided by ChatGPT, the most famous LLM, about Essential Tremor (ET), one of the commonest movement disorders, have not yet been evaluated. Methods: Answers given by ChatGPT to 10 questions about ET were evaluated by 5 professionals and 15 laypeople with a score ranging from 1 (poor) to 5 (excellent) in terms of clarity, relevance, accuracy (only for professionals), comprehensiveness, and overall value of the response. We further calculated the readability of the answers. Results: ChatGPT answers received relatively positive evaluations, with median scores ranging between 4 and 5, by both groups and independently from the type of question. However, there was only moderate agreement between raters, especially in the group of professionals. Moreover, readability levels were poor for all examined answers. Discussion: ChatGPT provided relatively accurate and relevant answers, with some variability as judged by the group of professionals suggesting that the degree of literacy about ET has influenced the ratings and, indirectly, that the quality of information provided in clinical practice is also variable. Moreover, the readability of the answer provided by ChatGPT was found to be poor. LLMs will likely play a significant role in the future; therefore, health-related content generated by these tools should be monitored.

Indexed as

ComprehensionEssential TremorAdultAgedFemaleHealth LiteracyHumansMaleMiddle AgedArtificial intelligenceChatGPTEssential tremorLarge language ModelMovement disorders

Identifiers

PMID38973820
PMCPMC11225576

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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.