Evidence map›Paper›PMID 41048418›Full record

ArticleInternational journal of sports physical therapy2025

Interpreting Quadriceps Strength Thresholds for Patients Following ACL-Reconstruction: A Clinical Commentary.

Stephan Bodkin, David Bennion, Megan Pales-Taylor, Masaru Teramoto, Travis Maak

Abstract read
In one paragraph

Article in International journal of sports physical therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Stephan BodkinPhysical Therapy and Athletic Training University of Utah.ORCID https://orcid.org/0000-0001-7595-371X
David BennionPhysical Therapy and Athletic Training University of Utah.
Megan Pales-TaylorPhysical Therapy and Athletic Training University of Utah.
Masaru TeramotoOrthopedics University of Utah.ORCID https://orcid.org/0000-0001-7829-0595
Travis MaakOrthopedics University of Utah.ORCID https://orcid.org/0000-0002-5023-2657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rehabilitation following Anterior Cruciate Ligament Reconstruction (ACLR) is a complex process involving the restoration of muscular strength, movement patterns, and functional confidence. Clinical thresholds, defined target values tied to successful outcomes, are frequently used to guide rehabilitation and assess patient progress. While these thresholds may promote rehabilitation advancement and the establishment of structured goals, substantial variability exists in their values and how they are developed. Clinical thresholds are typically established by linking an independent variable (e.g., quadriceps strength) to a dichotomized outcome (e.g., return to running, return to sport, patient-reported function cutoff, etc.). Statistical tools like Receiver Operating Characteristic (ROC) curve analyses are used to determine a single strength value that best predicts a successful outcome, based on the sensitivity and specificity of predicting the outcome. Despite this standardized approach, existing thresholds differ significantly due to variations in outcome definitions, cohort characteristics, and strength testing protocols. This clinical commentary aims to (1) describe the methodology used to establish clinical thresholds, (2) discuss statistical considerations for interpreting these thresholds, and (3) examine the implications of variability in quadriceps strength targets for patient following ACLR. Level of Evidence: 5.

Indexed as

ACLRAnterior Cruciate LigamentReturn to PlayReturn to RunningReturn to Sport

Identifiers

PMID41048418
PMCPMC12490894

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Registered trials

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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.