Evidence map›Paper›PMID 41541377›Full record

ArticleArthroscopy techniques2025

Primary Arthroscopic Repair of Chronic Anterior Cruciate Ligament Tears.

Maximilian M Mueller, Valentin Hingsamer, Sebastian Conner-Rilk, Tatiana C Monteleone, Robert J O'Brien, Gregory S DiFelice

Abstract read
In one paragraph

Article in Arthroscopy techniques, 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

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

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.

Maximilian M MuellerDepartment of Orthopaedic Surgery, Hospital for Special Surgery, NewYork-Presbyterian, Weill Medical College of Cornell University, New York, New York, U.S.A.
Valentin HingsamerDepartment of Orthopaedic Surgery, Hospital for Special Surgery, NewYork-Presbyterian, Weill Medical College of Cornell University, New York, New York, U.S.A.
Sebastian Conner-RilkDepartment of Orthopaedic Surgery, Hospital for Special Surgery, NewYork-Presbyterian, Weill Medical College of Cornell University, New York, New York, U.S.A.
Tatiana C MonteleoneDepartment of Orthopaedic Surgery, Hospital for Special Surgery, NewYork-Presbyterian, Weill Medical College of Cornell University, New York, New York, U.S.A.
Robert J O'BrienDepartment of Orthopaedic Surgery, Hospital for Special Surgery, NewYork-Presbyterian, Weill Medical College of Cornell University, New York, New York, U.S.A.
Gregory S DiFeliceDepartment of Orthopaedic Surgery, Hospital for Special Surgery, NewYork-Presbyterian, Weill Medical College of Cornell University, New York, New York, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this Technical Note, we present the surgical technique for primary arthroscopic repair of chronic anterior cruciate ligament (ACL) tears. This approach is indicated for proximal type I and II ACL tears with good-to-excellent tissue quality, characterized by an intact synovial sheath and a simple rupture pattern. Compared with acute ACL primary repair, the most significant challenge lies in the careful mobilization and preparation of the scarred ACL remnant. Notably, chronic ACL tears often present with tissue remnants scarred to the posterior cruciate ligament and/or the femoral notch wall, which may still show favorable tissue quality. With meticulous surgical technique and appropriate patient selection, primary arthroscopic repair of chronic ACL tears may therefore remain a viable option beyond the acute phase. Ultimately, tear location and tissue quality should be the primary determinants for selecting ACL primary repair.

Identifiers

PMID41541377
PMCPMC12801027

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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.