Evidence map›Paper›PMID 40025462›Full record

ArticleBMC medical research methodology2025

The reporting quality and methodological quality of dynamic prediction models for cancer prognosis.

Peijing Yan, Zhengxing Xu, Xu Hui, Xiajing Chu, Yizhuo Chen, Chao Yang, Shixi Xu, Huijie Cui, Li Zhang, Wenqiang Zhang and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical research methodology, 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.

Peijing Yan *Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhengxing Xu *Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, Luzhou, Sichuan, China.
Xu HuiEvidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Xiajing ChuDepartment of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON, Canada.
Yizhuo ChenThe Second Clinical Medical Hospital, Lanzhou University, Lanzhou, Gansu, China.
Chao YangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Shixi XuDepartment of Preventive Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Huijie CuiDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Li ZhangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Wenqiang ZhangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Liqun WangDepartment of Hygienic Toxicology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yanqiu ZouDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yan RenChinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiaqiang LiaoDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Qin ZhangDepartment of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Kehu YangEvidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Ling ZhangDepartment of Iatrical Polymer Material and Artificial Apparatus, School of Polymer Science and Engineering, Sichuan University, Chengdu, Sichuan, China.
Yunjie LiuDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiayuan LiDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Chunxia YangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yuqin YaoDepartment of Hygienic Toxicology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhenmi LiuDepartment of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China. zhenmiliu@scu.edu.cn.
Xia JiangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China. xiajiang@scu.edu.cn.
Ben ZhangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China. wcsphwcfh@vip.163.com.

Funding

National Key Research and Development Program of China 2022YFC3600600, 2022YFC3600604National Natural Science Foundation of China U22A20359, 81874283, 81673255
6 · The paper itself

Abstract

backgroundTo evaluate the reporting quality and methodological quality of dynamic prediction model (DPM) studies on cancer prognosis.

methodsExtensive search for DPM studies on cancer prognosis was conducted in MEDLINE, EMBASE, and the Cochrane Library databases. The Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) and the Prediction model Risk of Bias Assessment Tool (PROBAST) were used to assess reporting quality and methodological quality, respectively.

resultsA total of 34 DPM studies were identified since the first publication in 2005, the main modeling methods for DPMs included the landmark model and the joint model. Regarding the reporting quality, the median overall TRIPOD adherence score was 75%. The TRIPOD items were poorly reported, especially the title (23.53%), model specification, including presentation (55.88%) and interpretation (50%) of the DPM usage, and implications for clinical use and future research (29.41%). Concerning methodological quality, most studies were of low quality (n = 30) or unclear (n = 3), mainly due to statistical analysis issues.

conclusionsThe Landmark model and joint model show potential in DPM. The suboptimal reporting and methodological qualities of current DPM studies should be improved to facilitate clinical application.

Indexed as

Models, StatisticalNeoplasmsResearch DesignHumansPrognosisCancer prognosisDynamic prediction modelsMethodological characteristicsMethodological qualityReporting quality

Identifiers

PMID40025462
PMCPMC11872325

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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.