Evidence map›Paper›PMID 35734769›Full record

ArticleOrthopaedic journal of sports medicine2022

Medical and Biomechanical Risk Factors for Incident Bone Stress Injury in Collegiate Runners: Can Plantar Pressure Predict Injury?

Andrew R Wilzman, Adam S Tenforde, Karen L Troy, Kenneth Hunt, Nathaniel Fogel, Megan Deakins Roche, Emily Kraus, Rishi Trikha, Scott Delp, Michael Fredericson

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 13% of its field
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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

10 authors at 5 institutions in 1 country.

Andrew R WilzmanWorcester Polytechnic Institute, Worcester, Massachusetts, USA.
Adam S TenfordeSpaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA.
Karen L TroyWorcester Polytechnic Institute, Worcester, Massachusetts, USA.
Kenneth HuntUniversity of Colorado School of Medicine, Aurora, Colorado, USA.
Nathaniel FogelDepartment of Orthopaedic Surgery, Stanford University, Stanford, California, USA.
Megan Deakins RocheStanford Medical Center, Redwood City, California, USA.
Emily KrausStanford Medical Center, Redwood City, California, USA.
Rishi TrikhaDepartment of Orthopaedic Surgery, University of California, Los Angeles, Santa Monica, California, USA.
Scott DelpHuman Performance Laboratory, Stanford University, Stanford, California, USA.
Michael FredericsonStanford Medical Center, Redwood City, California, USA.
Worcester Polytechnic Institute · USSpaulding Rehabilitation Hospital · USStanford University · USUniversity of California, Los Angeles · USUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bone stress injury (BSI) is a common reason for missed practices and competitions in elite track and field runners. Hypothesis: It was hypothesized that, after accounting for medical risk factors, higher plantar loading during running, walking, and athletic movements would predict the risk of future BSI in elite collegiate runners. Study Design: Cohort study; Level of evidence, 2. Methods: A total of 39 elite collegiate runners (24 male, 15 female) were evaluated during the 2014-2015 academic year to determine the degree to which plantar pressure data and medical history (including Female and Male Athlete Triad risk factors) could predict subsequent BSI. Runners completed athletic movements while plantar pressures and contact areas in 7 key areas of the foot were recorded, and the measurements were reported overall and by specific foot area. Regression models were constructed to determine factors related to incident BSI. Results: Twenty-one runners (12 male, 9 female) sustained ≥1 incident BSI during the study period. Four regression models incorporating both plantar pressure measurements and medical risk factors were able to predict the subsequent occurrence of (A) BSIs in female runners, (B) BSIs in male runners, (C) multiple BSIs in either male or female runners, and (D) foot BSIs in female runners. Model A used maximum mean pressure (MMP) under the first metatarsal during a jump takeoff and only misclassified 1 female with no BSI. Model B used increased impulses under the hindfoot and second through fifth distal metatarsals while walking, and under the lesser toes during a cutting task, correctly categorizing 83.3% of male runners. Model C used higher medial midfoot peak pressure during a shuttle run and triad cumulative risk scores and correctly categorized 93.3% of runners who did not incur multiple BSIs and 66.7% of those who did. Model D included lower hindfoot impulses in the shuttle run and higher first metatarsal MMP during treadmill walking to correctly predict the subsequent occurrence of a foot BSI for 75% of women and 100% without. Conclusion: The models collectively suggested that higher plantar pressure may contribute to risk for BSI.

Indexed as

biomechanicsgait mechanicsinjuryoveruse injuriespressure distributionrunningstress fracture

Identifiers

PMID35734769
PMCPMC9208063
OpenAlexW4282977122

What OpenQuestion 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 OpenQuestion graph.