Evidence map›Paper›PMID 35570958›Full record

ArticleFrontiers in public health2022

Nomograms for Predicting Medical Students' Perceptions of the Learning Environment: Multicenter Evidence From Medical Schools in China.

Zhitong Zhou, Runzhi Huang, Guoyang Zhang, Meiqiong Gong, Shuyuan Xian, Huabin Yin, Tong Meng, Xiaonan Wang, Yue Wang, Wenfang Chen and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

19 authors.

Zhitong ZhouDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Runzhi HuangDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Guoyang ZhangSchool of Education, Shanghai Jiao Tong University, Shanghai, China.
Meiqiong GongOffice of Educational Administration, Shanghai University, Shanghai, China.
Shuyuan XianTongji University School of Medicine, Shanghai, China.
Huabin YinDepartment of Orthopedics, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Tong MengDepartment of Orthopedics, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiaonan WangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Yue WangDepartment of Health Statistics, School of Public Health, The Forth Military Medical University of PLA, Xi'an, China.
Wenfang ChenFaculty of Medicine, Jinggangshan University, Ji'An, China.
Chongyou ZhangCenter of Science and Technology Research and Development and Industrial Management, Harbin Medical University, Heilongjiang, China.
Erbin DuFrist Clinical Medical College, Mudanjiang Medical University, Mudanjiang, China.
Min LinMental Health Education and Consultation Center, Chongqing Medical University, Chongqing, China.
Xin LiuDepartment of Rheumatology and Immunology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Qing LinDepartment of Human Anatomy, Laboratory of Clinical Applied Anatomy, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
Shizhao JiDepartment of Burns, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Hongbin WuInstitute of Medical Education/National Centre for Health Professions Education Development, Peking University, Beijing, China.
Zongqiang HuangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jie ZhangDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical students' perceptions of the medical school learning environment (MSLE) have an important impact on their professional development, and physical and mental health. Few studies reported potential factors that influenced medical students' perceptions of MSLE. Thus, the main goal of this study was to identify influencing factors for medical students' perception levels of MSLE. The perception levels of MSLE were assessed by the Johns Hopkins Learning Environment Scale. The univariate and multivariate logistic regression analyses were performed to identify significant predictors for the perceptions of MSLE. The nomograms were established to predict medical students' perception levels of MSLE. In the multivariate logistic regression model, gender, university category, grade, mother education level, learning environment of schools, interests in medicine, and Kolb learning experience were significantly associated with medical students' perceptions of MSLE. Correspondently, the nomograms were built based on significant variables identified by the univariate logistic regression analysis. The validation of the nomograms showed that the model had promising predictive accuracy, discrimination, and accordance (area under the curve (AUC) = 0.751). This study identified influencing factors of medical students' perceptions of MSLE. It is essential to implement corresponding interventions to improve medical students' perceptions.

Indexed as

Students, MedicalChinaHumansNomogramsSchools, MedicalSurveys and Questionnaireslearning environmentmedical studentsnomogramsperceptionsprediction

Identifiers

PMID35570958
PMCPMC9099049

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.