Evidence map›Paper›PMID 40269240›Full record

ArticleScientific reports2025

Comparison of triage performance among DRP tool, ChatGPT, and outpatient rehabilitation doctors.

Yucong Zou, Ruixue Ye, Yan Gao, Jing Zhou, Yawei Li, Wenshi Chen, Fubing Zha, Yulong Wang

Abstract readComparative StudyMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Yucong ZouDepartment of Rehabilitation, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China.
Ruixue YeDepartment of Rehabilitation, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China.
Yan GaoDepartment of Rehabilitation, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China.
Jing ZhouDepartment of Rehabilitation, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China.
Yawei LiDepartment of Rehabilitation, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China.
Wenshi ChenDepartment of Rehabilitation, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China.
Fubing ZhaDepartment of Rehabilitation, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China. 13923713995@139.com.
Yulong WangDepartment of Rehabilitation, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China. wangyulong@szu.edu.cn.

Funding

the Sanming Project of Medicine in Shenzhen SZSM202111010
6 · The paper itself

Abstract

With the increasing need for rehabilitation, efficient triage is crucial. This study aims to explore the performance of the distributing rehabilitation patients (DRP) tool, ChatGPT, and outpatient doctors in rehabilitation patient triage, and to compare their strengths and limitations. This is a multicenter cross-sectional study. A total of 300 rehabilitation patients were selected from 27 medical institutions in 15 cities. Patients assessed by three methods: doctor assessment, ChatGPT, and the DRP tool. Three groups were set according to different methods: Doctor Group, ChatGPT Group, and Tool Group. Triage outcomes: outpatient rehabilitation, primary healthcare institutions inpatient, secondary hospital inpatient, tertiary hospital inpatient, and nursing homes or long-term care institutions inpatient. The consistency of triage was analyzed. Significant differences were observed between Doctor Group and both ChatGPT Group and Tool Group (P < 0.01; P < 0.01), no significant difference was observed between ChatGPT Group and Tool Group (P = 0.29). Consistency analysis revealed fair consistency between Doctor Group and both Tool Group and ChatGPT Group. Tool Group and ChatGPT Group showed good consistency. Percentage consistency showed that Tool Group and ChatGPT Group achieved the highest rate of agreement, at 63.67%. This study revealed differences between the DRP tool, ChatGPT, and traditional triage methods. The DRP tool may be more suitable for rehabilitation triage.

Indexed as

RehabilitationTriageAdultAgedCross-Sectional StudiesFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedOutpatientsPhysiciansChatGPTConsistencyDoctorsDRP toolRehabilitation patientsTriage

Identifiers

PMID40269240
PMCPMC12019411

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.