Evidence map›Paper›PMID 40697810›Full record

ArticleOrthopaedic journal of sports medicine2025

Clinical and Social Predictors of Surgical Treatment for Anterior Cruciate Ligament Injuries.

Rithika Ginjupalli, Endel J Orav, Nadine J McCleary, Harrison T Hubbell, Miho J Tanaka

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. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rithika GinjupalliUniversity of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.ORCID https://orcid.org/0009-0004-7005-8379
Endel J OravDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Nadine J McClearyBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Harrison T HubbellMass General Brigham, Boston, Massachusetts, USA.
Miho J TanakaDepartment of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-6489-3803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While anterior cruciate ligament (ACL) injury is often managed surgically in the young, active population, nonoperative management may be considered in older adults. Surgical decision-making in adults is usually based on patient preference, level of functional disability, and the presence of comorbidities. Understanding the role of clinical predictors in surgical decision-making can help identify disparities in treatment outcomes. Purpose: To report on clinical and social predictors of surgical versus nonsurgical treatment in patients with ACL injuries and quantify the influence of each factor. Study Design: Case control study; Level of evidence, 3. Methods: Patients diagnosed with ACL injury and those who underwent subsequent ACL reconstruction at a single center were identified. Functional disability was determined using patient-reported outcome measure scores, including the Knee injury and Osteoarthritis Outcome Score Physical Function Short Form (KOOS-PS) and Patient-Reported Outcomes Measurement Information Systems Physical Function (PROMIS-PF) within 90 days of diagnosis and before surgery. Clinical and sociodemographic factors were collected, and comorbidities were recorded using the Charlson Comorbidity Index. Logistic regression analysis was performed to identify relationships between clinical and sociodemographic factors with the likelihood of undergoing surgery for their ACL injury. Results: A total of 3656 patients were identified with ACL tear; 1734 (47.4%) were female (mean age, 34.9 years; SD, 13.8 years) and 1922 (52.6%) were male (mean age, 32.8 years; SD, 13.1 years). Overall, 53.8% of female patients and 53.4% of male patients underwent surgical treatment. Women had lower KOOS-PS and PROMIS values compared with men (-4.1 [ Conclusion: Older age, greater body mass index, greater comorbidities, smoking, and subsidized insurance were negative predictors of undergoing surgical management of ACL injuries. Clinical predictors are useful in highlighting disparities and understanding ACL reconstruction decision-making for patients.

Indexed as

ACLBMIethnicityinsurancekneeracereconstructionsmokingsocioeconomic

Identifiers

PMID40697810
PMCPMC12280533

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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.