Evidence map›Paper›PMID 40734763›Full record

ArticleOrthopaedic journal of sports medicine2025

Delayed Surgery, Medial Meniscus Injury, and Younger Age Are All Factors Significantly Associated With High-Grade Knee Laxity Before ACL Reconstruction.

Riccardo Cristiani, Eric Hamrin Senorski, Camilo P Helito, Kristian Samuelsson, Karl Eriksson, Anders Stålman

Abstract 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Riccardo CristianiDepartment of Molecular Medicine and Surgery, Section of Sports Medicine, Karolinska Institutet, Stockholm, Sweden.
Eric Hamrin SenorskiDepartment of Health and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Camilo P HelitoHospital Sírio Libanês, São Paulo, São Paulo, Brazil.
Kristian SamuelssonDepartment of Orthopaedics, Institute of Clinical Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Karl ErikssonDepartment of Orthopaedics, Stockholm South Hospital, Stockholm, Sweden.
Anders StålmanDepartment of Molecular Medicine and Surgery, Section of Sports Medicine, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The influence of patient demographics, associated meniscal injuries, and especially the time from injury to surgery on knee laxity before anterior cruciate ligament reconstruction (ACLR) remains insufficiently explored. Purpose: To identify factors associated with high-grade knee laxity before ACLR. Study Design: Case-control study; Level of evidence, 3. Methods: Patients without concomitant ligament injuries who underwent primary ACLR at Capio Artro Clinic, Stockholm, Sweden, from January 2000 to December 2023 were identified. Demographic data (age and sex), concomitant medial or lateral meniscus injury, time from injury to surgery, and instrumented knee laxity were reviewed. The KT-1000 arthrometer (134 N) was used to evaluate anterior knee laxity preoperatively. High-grade laxity was defined as a side-to-side (STS) difference >5 mm (International Knee Documentation Committee grade C or D). A logistic regression analysis was used to evaluate whether age at surgery, sex, medial or lateral meniscus injury, and time from injury to ACLR were associated with high-grade preoperative knee laxity. Results: A total of 7759 patients (53.9% male) were included, of whom 1596 had high-grade knee laxity (STS difference >5 mm) preoperatively. Younger age (≤26 years) (OR, 1.19; 95% CI, 1.06-1.33; Conclusion: Age ≤26 years, medial meniscus injury, and delayed surgery (>6 months) were associated with high-grade knee laxity (STS difference >5 mm) before ACLR. To reduce the likelihood of knee laxity deterioration, ACLR should be performed within 6 months of the injury.

Indexed as

ACLanterior cruciate ligamentarthrometerdelayed surgeryknee laxitymeniscus

Identifiers

PMID40734763
PMCPMC12304503

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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.