Evidence map›Paper›PMID 39555617›Full record

ArticleAnnals of medicine2024

The impact of using ChatGPT on academic writing among medical undergraduates.

Jingyu Wang, Yuxuan Liao, Shaojun Liu, Decai Zhang, Na Wang, Jiankun Shu, Rui Wang

Abstract read
In one paragraph

Article in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. ChatGPT in Academic Writing: A Scientometric Analysis of Literature Published Between 2022 and 2023.Journal of empirical research on human research ethics : JERHRE · 2025
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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

7 authors.

Jingyu WangDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Yuxuan LiaoNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College, Beijing, China.
Shaojun LiuDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Decai ZhangDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Na WangThe First People's Hospital of Foshan, Foshan, China.
Jiankun ShuThe First People's Hospital of Foshan, Foshan, China.
Rui WangDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.ORCID 0000-0002-5305-3283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChatGPT is widely used for writing tasks, yet its effects on medical students' academic writing remain underexplored. This study aims to elucidate ChatGPT's impact on academic writing efficiency and quality among medical students, while also evaluating students' attitudes towards its use in academic writing.

methodsWe collected systematic reviews from 130 third-year medical students and administered a questionnaire to assess ChatGPT usage and student attitudes. Three independent reviewers graded the papers using EASE guidelines, and statistical analysis compared articles generated with or without ChatGPT assistance across various parameters, with rigorous quality control ensuring survey reliability and validity.

resultsIn this study, 33 students (25.8%) utilized ChatGPT for writing (ChatGPT group) and 95 (74.2%) did not (Control group). The ChatGPT group exhibited significantly higher daily technology use and prior experience with ChatGPT (

conclusionsIntegrating ChatGPT in medical academic writing, with proper guidance, improves efficiency and quality, illustrating artificial intelligence's potential in shaping medical education methodologies.

Indexed as

Education, Medical, UndergraduateStudents, MedicalWritingAdultFemaleHumansMaleSurveys and QuestionnairesYoung AdultAcademic writingartificial intelligenceChatGPTmedical educationscientific research ability

Identifiers

PMID39555617
PMCPMC11574940

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.