Evidence map›Paper›PMID 39458183›Full record

ReviewJournal of clinical medicine2024

Anterior Cruciate Ligament Tear: Individualized Indications for Non-Operative Management.

George A Komnos, Michael H Hantes, Georgios Kalifis, Nifon K Gkekas, Artemis Hante, Jacques Menetrey

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

George A KomnosDepartment of Orthopaedic Surgery and Musculoskeletal Trauma, University Hospital of Larissa, 41110 Larissa, Greece.ORCID 0000-0002-6832-0014
Michael H HantesDepartment of Orthopaedic Surgery and Musculoskeletal Trauma, University Hospital of Larissa, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece.ORCID 0000-0001-9494-6048
Georgios KalifisMinimally Invasive Surgery Orthopaedic Center, St. Luke's Hospital, 55236 Panorama, Greece.ORCID 0000-0001-6528-1438
Nifon K GkekasDepartment of Orthopaedic Surgery and Musculoskeletal Trauma, University Hospital of Larissa, 41110 Larissa, Greece.ORCID 0000-0002-0368-0465
Artemis HantePhysiotherapy Department, International Hellenic University, 57001 Nea Moudania, Greece.
Jacques MenetreyCentre de Médecine du Sport et de L'Exercice-Swiss Olympic Medical Center, Hirslanden Clinique La Colline, 1206 Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anterior cruciate ligament (ACL) rupture represents a common sports injury that is mostly managed operatively. However, non-operative treatment can also play a role, despite the limited high-quality published data on ACL tear management. Both methods have shown favorable outcomes, but clear guidelines based on high-quality research are lacking. Several factors should be considered and discussed with the patient before deciding on the best treatment method. These include patient characteristics and expectations, concomitant injuries, and clinical evaluation, with laxity or/and instability being one of the most essential parameters examined. This should eventually lead to an individualized approach for each patient to ensure the best possible outcome. This review aims to delve into all parameters that are related to ACL rupture and guide physicians in choosing the most appropriate treatment method for each patient.

Indexed as

ACL ruptureconservative treatmentindividualized approachkneesportsurgery

Identifiers

PMID39458183
PMCPMC11508887

What OpenQuestion holds

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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.