Evidence map›Paper›PMID 38511678›Full record

ArticleMedeniyet medical journal2024

Is ChatGPT an Accurate and Reliable Source of Information for Patients with Vaccine and Statin Hesitancy?

Cundullah Torun, Abdurrahman Sarmis, Aytekin Oguz

Open access · diamondAbstract read
In one paragraph

Article in Medeniyet medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Cundullah TorunIstanbul Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Clinic of Internal Medicine, Istanbul, Turkey.ORCID 0000-0003-4933-7635
Abdurrahman SarmisIstanbul Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Clinic of Microbiology, Istanbul, Turkey.ORCID 0000-0002-8156-6633
Aytekin OguzIstanbul Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Clinic of Internal Medicine, Istanbul, Turkey.ORCID 0000-0002-2595-5167
Istanbul Eye Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI) language model that is trained to respond to questions across a wide range of topics. Our aim is to elucidate whether it would be beneficial for patients who are hesitant about vaccines and statins to use ChatGPT. Methods: This cross-sectional and observational study was conducted from March 2 to March 30, 2023, using OpenAI ChatGPT-3.5. ChatGPT provided responses to 7 questions related to vaccine and statin hesitancy. The same questions were also directed at physicians. Both the answers from ChatGPT and the physicians were assessed for accuracy, clarity, and conciseness by experts in cardiology, internal medicine, and microbiology, who possessed a minimum of 30 years of professional experience. Responses were rated on a scale of 0-4, and the ChatGPT's average score was compared with that of physicians using the Mann-Whitney U test. Results: The mean scores of ChatGPT (3.78±0.36) and physicians (3.65±0.57) were similar (Mann-Whitney U test p=0.33). The mean scores of ChatGPT were 3.85±0.34 for vaccination and 3.68±0.35 for statin use. The mean scores of physicians were 3.73±0.51 for vaccination and 3.58±0.61 for statin use. There was no statistically significant difference between the mean scores of ChatGPT and physicians for both vaccine and statin use (p=0.403 for vaccination, p=0.678 for statin). ChatGPT did not consider sources of conspiratorial information on vaccines and statins. Conclusions: This study suggests that ChatGPT can be a valuable source of information for guiding patients with vaccine and statin hesitancy.

Indexed as

artificial intelligencemedication hesitancyPrimary prevention

Identifiers

PMID38511678
PMCPMC10961658
OpenAlexW4390879872

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.