Evidence map›Paper›PMID 32762527›Full record

ArticleSports health

Evaluating an Algorithm and Clinical Prediction Rule for Diagnosis of Bone Stress Injuries.

Nathaniel S Nye, Carlton J Covey, Mary Pawlak, Cara Olsen, Barry P Boden, Anthony I Beutler

Abstract readValidation Study
In one paragraph

Article in Sports health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Bone Health.Sports health
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nathaniel S NyeFort Belvoir Community Hospital, Fort Belvoir, Virginia.
Carlton J CoveyTravis Family Medicine Residency, Travis Air Force Base, California.
Mary Pawlak559th Trainee Health Squadron, JBSA-Lackland, Texas.
Cara OlsenUniformed Services University of the Health Sciences, Bethesda, Maryland.
Barry P BodenThe Orthopaedic Center, a Division of CAO, Rockville, Maryland.
Anthony I BeutlerUniformed Services University of the Health Sciences, Bethesda, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA novel algorithm and clinical prediction rule (CPR), with 18 variables, was created in 2014. The CPR generated a bone stress injury (BSI) score, which was used to determine the necessity of imaging in suspected BSI. To date, there are no validated algorithms for imaging selection in patients with suspected BSI. HYPOTHESIS: A simplified CPR will assist clinicians with diagnosis and decision making in patients with suspected BSI. STUDY

designProspective cohort study. LEVEL OF EVIDENCE: Level 3.

methodsA total of 778 military trainees with lower extremity pain were enrolled. All trainees were evaluated for 18 clinical variables suggesting BSI. Participants were monitored via electronic medical record review. Then, a prediction model was developed using logistic regression to identify clinical variables with the greatest predictive value and assigned appropriate weight. Test characteristics for various BSI score thresholds were calculated.

resultsOf the enrolled trainees, 204 had imaging-confirmed BSI in or distal to the femoral condyles. The optimized CPR selected 4 clinical variables (weighted score): bony tenderness (3), prior history of BSI (2), pes cavus (2), and increased walking/running volume (1). The optimized CPR with a score ≥3 yielded 97.5% sensitivity, 54.2% specificity, and 98.2% negative predictive value. An isolated measure, bony tenderness, demonstrated similar statistical performance.

conclusionThe optimized CPR, which uses bony tenderness, prior history of BSI, pes cavus, and increased walking/running volume, is valid for detecting BSI in or distal to the femoral condyles. However, bony tenderness alone provides a simpler criterion with an equally strong negative predictive value for BSI decision making. CLINICAL RELEVANCE: For suspected BSI in or distal to the femoral condyles, imaging can be deferred when there is no bony tenderness. When bony tenderness is present in the setting of 1 or more proven risk factors and no clinical evidence of high-risk bone involvement, presumptive treatment for BSI and serial radiographs may be appropriate.

Indexed as

AlgorithmsClinical Decision RulesFemaleFractures, StressHumansMaleMilitary PersonnelProspective StudiesRadiographyReproducibility of ResultsRisk Factorsalgorithmclinical prediction ruleMRIstress fracture

Identifiers

PMID32762527
PMCPMC7485018

What OpenQuestion holds

Textmetadata
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.