Evidence map›Paper›PMID 41402984›Full record

ArticleJournal of evidence-based medicine2025

Should the Workload of Combining Clinical Practice With Data Collection be Considered: A Survey of Physicians With Data Collection Experience.

Xinyi Zhang, Yin Jiang, Zhiyue Guan, Mengzhu Zhao, Mingzhi Hu, Qianqian Xu, Wenhui Wang, Wulin Gao, Ruijin Qiu, Min Li and 14 more

Abstract read
In one paragraph

Article in Journal of evidence-based medicine, 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. Article
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

24 authors.

Xinyi ZhangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yin JiangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Zhiyue GuanDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Mengzhu ZhaoDepartment of Traditional Chinese Medicine, Naval Medical University, Shanghai, China.
Mingzhi HuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Qianqian XuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Wenhui WangCollege of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Hunan, China.
Wulin GaoDepartment of Cardiology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Shandong, China.
Ruijin QiuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Min LiThird Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China.
Baolin YangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Li ZhouDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Zhengqi LiuThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guizhou, China.
Zhengsheng LiThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guizhou, China.
Yongjing XiangThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guizhou, China.
Jiyang ZhaoThird Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China.
Zaijian WangThird Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China.
Xien LouThird Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China.
Shengjun GuoThird Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China.
Guohua DaiDepartment of Cardiology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Shandong, China.
Zhaoxiang BianHong Kong Chinese Medicine Clinical Study Centre, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China.
Hongwu WangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Chen ZhaoInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Hongcai ShangCollege of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Hunan, China.

Funding

China Academy of Chinese Medical Sciences 2020YJSZX-1Excellent Young Scientific and Technological Talents Training Program of China Academy of Chinese Medical Sciences ZZ14-YQ-038grants: National Key Research and Development Program of China 2022YFC3502300;2022YFC3502304Special Director's Project of Evidence-Based Medicine CenterSpecial Funds for Basic Scientific Research of Central Universities 2024-JYB-KYPT-01Youth Talent Lifting Project, Chinese Academy of Science and Technology CAST-2020-QNRC1-04
6 · The paper itself

Abstract

aimTo survey the physician's attention to the workload of combining clinical practice with Traditional Chinese Medicine (TCM) data collection.

backgroundWith the development of artificial intelligence technology in the medical field, the task of collecting diverse clinical data in TCM has increased. Based on the TCM's diagnostic and treatment principles, the collection of research data accompanying clinical practice is inevitable, which may have an impact on TCM clinical practice.

methodA previous research was conducted to collect diverse instant TCM diagnostic and treatment data, and physicians and research designers proposed many suggestions focusing on the workload of combining clinical practice with TCM data collection. In this study, A 54-item questionnaire was developed based on the suggestions. Forty-eight participants with data-collection experience participated in a questionnaire survey, and they needed to grade each item, which reflected their attention to the workload of combining clinical practice with TCM data collection.

resultsThe survey received 40 valid questionnaires, with 49 items scoring 4 or above. Three items in the content dimension (Q9, Q10, Q11) and two items in the spatial dimension (Q31, Q48) are scored lower. Additionally, 25 supplementary suggestions were collected during the study.

conclusionThe workload of combining clinical practice with TCM data collection needs to be considered. The items in this survey could be regarded as a basis for developing a tool to consider the relationship between clinical practice and data collection.

Indexed as

Data CollectionMedicine, Chinese TraditionalPhysiciansPractice Patterns, Physicians'WorkloadAdultFemaleHumansMaleSurveys and Questionnairesclinical practicediversified clinical datainstant TCM datasurveyTCM data collectionworkload

Identifiers

PMID41402984
PMCPMC12750487

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.