Evidence map›Paper›PMID 39810155›Full record

ArticleBMC medical education2025

Nonacademic predictors of China medical licensing examination.

Jie Sun, Yingying Xie, Ningnannan Zhang, Jingliang Cheng, Meiyun Wang, Bing Zhang, Wenzhen Zhu, Hui Zhang, Shijun Qiu, Xiaojun Xu and 31 more

Abstract read
In one paragraph

Article in BMC medical education, 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

41 authors.

Jie Sun *Department of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Yingying Xie *Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Ningnannan Zhang *Department of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Jingliang ChengDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Meiyun WangDepartment of Radiology, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
Bing ZhangDepartment of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China.
Wenzhen ZhuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Hui ZhangDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Shijun QiuDepartment of Medical Imaging, the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, 510405, China.
Xiaojun XuDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, 310009, China.
Yongqiang YuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Tong HanDepartment of Radiology, Tianjin Huanhu Hospital, Tianjin, 300350, China.
Zuojun GengDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
Weihua LiaoDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Bo GaoDepartment of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Wen QinDepartment of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Feng LiuDepartment of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Meng LiangSchool of Medical Imaging, Tianjin Medical University, Tianjin, 300203, China.
Qiang XuDepartment of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Jilian FuDepartment of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Jiayuan XuDepartment of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Mengge LiuDepartment of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Peng ZhangDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Wei LiDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Dapeng ShiDepartment of Radiology, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
Caihong WangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Xi-Nian ZuoIDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
Quan ZhangDepartment of Radiology, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China.
Feng ChenDepartment of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, 570311, China.
Jiance LiDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Zhihan YanDepartment of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
Wen ShenDepartment of Radiology, Tianjin First Center Hospital, Tianjin, 300192, China.
Yanwei MiaoDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Junfang XianDepartment of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Longjiang ZhangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, China.
Kai XuDepartment of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, China.
Zhaoxiang YeDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Jing ZhangDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, 730030, China.
Guangbin CuiFunctional and Molecular Imaging Key Lab of Shaanxi Province and Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, 710038, China.
Chunshui YuDepartment of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China. chunshuiyu@tmu.edu.cn.
CHIMGEN Consortium

Funding

National Key Research and Development Program of China 2018YFC1314300National Natural Science Foundation of China 82030053National Natural Science Foundation of China 82071907National Natural Science Foundation of China 82302139Scientific Research Planning Project of Tianjin Education Commission 2021KJ219Tianjin Health Research Project TJWJ2023QN010
6 · The paper itself

Abstract

backgroundNational Medical Licensing Examination (NMLE) is the entrance exam for medical practice in China, and its general medical knowledge test (GMKT) evaluates abilities of medical students to comprehensively apply medical knowledge to clinical practice. This study aimed to identify nonacademic predictors of GMKT performance, which would benefit medical schools in designing appropriate strategies and techniques to facilitate the transition from medical students to qualified medical practitioners.

methodsIn 1202 medical students, we conducted the deletion-substitution-addition (DSA) and structural equation model (SEM) analyses to identify nonacademic predictors of GMKT performance from 98 candidate variables including early life events, physical conditions, psychological and personality assessments, cognitive abilities, and socioeconomic conditions. The candidate variables were assessed using psychometrically or cognitively validated and accepted instruments.

resultsWe identified seven nonacademic predictors for GMKT performance. Body mass index (BMI) and working memory reaction time showed direct negative effects on GMKT performance. Psychological and personality features (conscientiousness, state anxiety, and openness to experience) indirectly affected GMKT performance via BMI, while socioeconomic conditions (father's education and mother's occupation) indirectly affected GMKT performance by influencing psychological and personality features and further BMI.

conclusionThe identified nonacademic predictors for GMKT performance and their pathways may be useful for improving medical education by strengthening favorable and weakening, rectifying, or compensating unfavorable factors that are modifiable.

Indexed as

Clinical CompetenceEducational MeasurementLicensure, MedicalStudents, MedicalAdultBody Mass IndexChinaFemaleHumansMalePersonalitySocioeconomic FactorsYoung AdultGeneral medical knowledge testMedical studentsNational medical licensing examinationPredictors

Identifiers

PMID39810155
PMCPMC11731385

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.