Evidence map›Paper›PMID 42093301›Full record

ArticleBone & joint open2026

Prognostic factor research: why it matters in orthopaedics and how we do it better.

Zaid A Hamoodi, Richard D Riley, Gary S Collins, Lianne Kearsley-Fleet, Jamie C Sergeant, Adam C Watts

Abstract read
In one paragraph

Article in Bone & joint open, 2026. 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

6 authors.

Zaid A HamoodiCentre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Richard D RileyDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID 0000-0001-8699-0735
Gary S CollinsCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-2772-2316
Lianne Kearsley-FleetCentre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID 0000-0003-0377-1575
Jamie C SergeantCentre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID 0000-0002-9000-4413
Adam C WattsUpper Limb Unit, Wrightington Hospital, Wrightington, Wigan and Leigh Teaching Hospitals NHS Foundation Trust, Wigan, UK.ORCID 0000-0003-0795-6462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By studying and predicting health outcomes, prognosis research can inform joint decision-making between a patient and clinician, and help to improve future health and care. The scope of prognosis research is broad. It can describe the natural history of a condition; identify prognostic factors (variables associated with future outcomes); develop and validate prediction models for estimating an individual's outcome risk; and identify intervention effects that vary by specified individual characteristics. Research on prognostic factors enables personalized treatment, as it helps identify patient risk profiles that guide clinical decisions, trial design, and resource allocation, and it is a stepping stone into developing prognostic models for individualized risk predictions. However, it is imperative for prognosis research to have high standards of study design, analysis, and reporting. Inadequately executed research can lead to misleading prognostic information, resulting in inappropriate treatment or advice for some patients. A better understanding of the fundamentals of modern prognosis research methods can empower clinicians to more accurately appraise research findings in this field. This will lead to the identification and implementation of high-quality prognostic research findings, to improve healthcare and patient outcomes. However, prognostic research in orthopaedics often exhibits poor methodology, inconsistent reporting, and over-reliance on statistical significance. Recent advances in methodological guidance have provided important recommendations for study design, analysis, and reporting. Accurate interpretation requires adjusted analyses that consider known prognostic factors to prevent misleading conclusions. Key components include study registration, sample size planning, clear protocols and transparent reporting. Following these principles can greatly enhance the quality and clinical relevance of trauma and orthopaedic research. This overview introduces types of prognosis studies and then focuses on prognostic factor research and its importance within the field of Trauma and Orthopaedics (T&O). It outlines the latest advances, identifies current limitations, and directs readers towards best practices that should be adopted by researchers.

Identifiers

PMID42093301
PMCPMC13150463

What OpenQuestion holds

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LicenceCC BY
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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.