ReviewBMC medicine2022
Structured reporting to improve transparency of analyses in prognostic marker studies.
Review in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient-related prognostic factors for function and pain after shoulder arthroplasty: a systematic review.Systematic reviews · 2024Pooled it
- Review of Existing Approaches and Potential Role of Pharmacometrics in the Interpretation of Prognostic Circulating Serum Biomarkers in Advanced NSCLC.Clinical and translational science · 2026Review
- Design aspects for prognostic factor studies.BMJ open · 2025Review
- Evaluation of changes in prediction modelling in biomedicine using systematic reviews.BMC medical research methodology · 2025Article
- Commentary: Regression Models-Efforts Are Required to Improve Statistical Practice and Teaching.Statistics in medicine · 2025Article
- Biomarkers to optimize PSMA-targeted radioligand therapy for metastatic castration-resistant prostate cancer.Frontiers in oncology · 2025Review
- Significance of androgen receptor and its potential for anti-androgen/androgen receptor-antagonist therapy in ovarian cancers.PloS one · 2025Article
- Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study.Insights into imaging · 2024Article
- Regression without regrets -initial data analysis is a prerequisite for multivariable regression.BMC medical research methodology · 2024Article
- Substantial variability in what is considered important in the radiological report for anterior shoulder instability: a Delphi study with Dutch musculoskeletal radiologists and orthopedic surgeons.JSES international · 2024Article
- Promising predictive molecular biomarkers for cervical cancer (Review).International journal of molecular medicine · 2024Review
- REMARK guidelines for tumour biomarker study reporting: a remarkable history.British journal of cancer · 2023Review
- Poor statistical reporting, inadequate data presentation and spin persist despite Journal awareness and updatedF1000Research · 2023Article
- Article
- The MiR-200c/FOXP3 Network: A Promising Biomarker for Predicting Trastuzumab Response in HER2-Positive Breast Cancer.Technology in cancer research & treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFactors contributing to the lack of understanding of research studies include poor reporting practices, such as selective reporting of statistically significant findings or insufficient methodological details. Systematic reviews have shown that prognostic factor studies continue to be poorly reported, even for important aspects, such as the effective sample size. The REMARK reporting guidelines support researchers in reporting key aspects of tumor marker prognostic studies. The REMARK profile was proposed to augment these guidelines to aid in structured reporting with an emphasis on including all aspects of analyses conducted.
methodsA systematic search of prognostic factor studies was conducted, and fifteen studies published in 2015 were selected, three from each of five oncology journals. A paper was eligible for selection if it included survival outcomes and multivariable models were used in the statistical analyses. For each study, we summarized the key information in a REMARK profile consisting of details about the patient population with available variables and follow-up data, and a list of all analyses conducted.
resultsStructured profiles allow an easy assessment if reporting of a study only has weaknesses or if it is poor because many relevant details are missing. Studies had incomplete reporting of exclusion of patients, missing information about the number of events, or lacked details about statistical analyses, e.g., subgroup analyses in small populations without any information about the number of events. Profiles exhibit severe weaknesses in the reporting of more than 50% of the studies. The quality of analyses was not assessed, but some profiles exhibit several deficits at a glance.
conclusionsA substantial part of prognostic factor studies is poorly reported and analyzed, with severe consequences for related systematic reviews and meta-analyses. We consider inadequate reporting of single studies as one of the most important reasons that the clinical relevance of most markers is still unclear after years of research and dozens of publications. We conclude that structured reporting is an important step to improve the quality of prognostic marker research and discuss its role in the context of selective reporting, meta-analysis, study registration, predefined statistical analysis plans, and improvement of marker research.
Indexed as
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What Socratic holds
Registered trials
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.