Evidence map›Paper›PMID 40376390›Full record

ArticleOrthopaedic journal of sports medicine2025

The Lever Sign Test Demonstrates Limited Clinical Utility for Diagnosing Full-Thickness Anterior Cruciate Ligament Tears After a Traumatic Knee Injury.

Richard Norris, Alan Price, Joseph Byrne, Sian Pulford, Nicky van Melick, Thomas W Maddox, William Boswell, Cronan Kerin, Rachel A Oldershaw

Registry-linked trialAbstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05416632 (Diagnostic Accuracy of Hand Held Arthrometry and Clinical Tests for Diagnosing ACL Tears), which is not on this map. Not yet cited in PubMed.

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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.

NCT05416632 nacompletednot on this map

Diagnostic Accuracy of Hand Held Arthrometry and Clinical Tests for Diagnosing ACL Tears

TypeinterventionalSponsorLiverpool University Hospitals NHS Foundation TrustRan2023 to 2024Enrolled102ConditionsAnterior Cruciate Ligament Injuries, Anterior Cruciate Ligament Rupture, Anterior Cruciate Ligament TearArmsAthrometer
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

9 authors.

Richard NorrisDepartment of Trauma and Orthopaedics, Aintree University Hospital, NHS University Hospitals of Liverpool Group, Liverpool, UK.ORCID https://orcid.org/0000-0002-1021-1042
Alan PriceDepartment of Therapies, Aintree University Hospital, NHS University Hospitals of Liverpool Group, Liverpool, UK.
Joseph ByrneDepartment of Therapies, Aintree University Hospital, NHS University Hospitals of Liverpool Group, Liverpool, UK.
Sian PulfordDepartment of Therapies, Aintree University Hospital, NHS University Hospitals of Liverpool Group, Liverpool, UK.
Nicky van MelickSports & Orthopedics Research Center, Anna TopSupport, Eindhoven, the Netherlands.
Thomas W MaddoxSmall Animal Teaching Hospital, Institute of Infection, Veterinary and Ecological Sciences, School of Veterinary Science, University of Liverpool, Liverpool, UK.
William BoswellDepartment of Radiology, Aintree University Hospital, NHS University Hospitals of Liverpool Group, Liverpool, UK.
Cronan KerinDepartment of Trauma and Orthopaedics, Aintree University Hospital, NHS University Hospitals of Liverpool Group, Liverpool, UK.
Rachel A OldershawDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current systematic reviews with meta-analyses have identified the lever sign test as the best clinical examination for ruling out an anterior cruciate ligament (ACL) tear, but the included studies have methodological limitations that could bias the test outcome, potentially overestimating its clinical utility. Purpose: To investigate the interrater reliability and concurrent validity of the lever sign test after a traumatic knee injury and to investigate the association between test variables (surface used, fist position, effusion grade, force applied, pain reported) and test outcomes. Study Design: Cohort study (Diagnosis); Level of evidence, 2. Methods: The lever sign test was performed on hard and soft surfaces in 101 participants after a traumatic knee injury. Magnetic resonance imaging was used as the reference standard, with index testing performed after magnetic resonance imaging was conducted (>3 weeks after injury). Agreement between observers based on the surface used and fist position was evaluated with the Cohen kappa coefficient (κ). Concurrent validity was assessed through sensitivity, specificity, and likelihood ratios. Logistic regression was used to determine whether effusion grade, force applied, and pain reported were significantly associated with test outcomes. Results: Interrater reliability was superior on the soft surface but demonstrated only moderate agreement (κ = 0.529 [95% CI, 0.368-0.691]). Sensitivity was higher on the soft surface, and specificity was higher on the hard surface, for both assessors. At best, positive and negative likelihood ratios were 3.02 (95% CI, 1.60-5.69) and 0.45 (95% CI, 0.28-0.73), respectively. Test outcomes were affected by the surface used and fist position, but effusion grade, force applied, and pain reported were not significantly associated with correct/incorrect test results. Conclusion: In participants assessed from 3 weeks after a traumatic knee injury, the lever sign test demonstrated limited clinical utility for diagnosing full-thickness ACL tears. Test outcomes were affected by the surface used and fist position of the assessor. Registration: NCT05416632 (ClinicalTrials.gov).

Indexed as

anterior cruciate ligamentconcurrent validityinterrater reliabilitylever sign test

Identifiers

PMID40376390
PMCPMC12078951

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Registered trials

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.