Evidence map›Paper›PMID 41884698›Full record

ArticleOrthopaedic journal of sports medicine2026

Proposed Modified Bone Stress Injury Classification Score.

Anne Kuwabara, Aurelia Nattiv, Megan Deakins Roche, Michael Fredericson

Abstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anne KuwabaraKaiser Los Angeles Medical Center, Department of Physical Medicine and Rehabilitation, Los Angeles, California, USA.ORCID https://orcid.org/0000-0003-3904-3780
Aurelia NattivDepartment of Family Medicine, Division of Sports Medicine and Non-Operative Orthopaedics, University of California-Los Angeles, Los Angeles, California, USA.
Megan Deakins RocheSchool of Medicine, Stanford University, Stanford, California, USA.
Michael FredericsonDepartment of Orthopaedic Surgery, Division of Physical Medicine and Rehabilitation, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0001-9826-2348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Given that there are 27 bone stress injury (BSI) severity classification and scoring systems described in the literature, most systems are based solely on imaging, while the literature stresses the importance of considering clinical risk factors for return to running. Purpose: To propose a modified BSI classification score incorporating clinical factors, bone location, Fredericson and Nattiv magnetic resonance imaging (MRI) grading systems, and bone type to improve prediction of return-to-running times. Study Design: Cohort study; Level of evidence, 2. Methods: A 7-year prospective study of National Collegiate Athletic Association Division I cross-country and track and field athletes was conducted from 2013 to 2020. Participants completed an annual questionnaire about known risk factors for injury or impaired bone health. Information about BSIs and time to return to running was collected at team physician meetings, in discussions with athletes, from athlete questionnaires, and from medical chart review. A 0 to 7 score was calculated based on the Cumulative Risk Assessment (CRA) category (low, medium, and high risk of female athlete triad), bone location (low-, medium-, and high-risk locations), MRI grade, and type of bone (cortical vs trabecular). Generalized estimating equations accounting for correlated observations assessed the relationship between the score and return-to-running times. Results: In total, 83 athletes, including both men and women, experienced 140 BSIs. The average return-to-running time was 47.8 days for men and 64.8 days for women. Higher modified BSI classification scores were significantly associated with increased return-to-running times: each additional risk point was associated with an 8.5-day longer return-to-running time on average ( Conclusion: A higher modified BSI classification score was associated with increased return-to-running times in both men and women; however, the predictive ability was only low to moderate. Adding CRA risk score, bone location, and bone type to MRI grade alone resulted in a moderate improvement in predicting return-to-running times in women, but adding these additional variables to MRI grade alone resulted in no improvement in men. Additional studies will be needed to determine whether this system results in better prediction than MRI grade alone.

Indexed as

injury preventionrunning medicinestress fracturestrack/field

Identifiers

PMID41884698
PMCPMC13009898

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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.