Evidence map›Paper›PMID 42381650›Full record

ArticleArthroscopy techniques2026

Combined Arthroscopic Acetabular Labral Reconstruction With Dermal Allograft Hip Capsular Reconstruction.

Jacob Waldron, Justin Harrington, Raymond Kenney, Brian Giordano

Abstract read
In one paragraph

Article in Arthroscopy techniques, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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.

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

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

4 authors.

Jacob WaldronDepartment of Orthopedic Surgery University of Rochester Medical Center Rochester New York U.S.A.ORCID https://orcid.org/0000-0003-0880-0793
Justin HarringtonDepartment of Orthopedic Surgery University of Rochester Medical Center Rochester New York U.S.A.ORCID https://orcid.org/0009-0000-9177-2636
Raymond KenneyDepartment of Orthopedic Surgery University of Rochester Medical Center Rochester New York U.S.A.ORCID https://orcid.org/0000-0003-2430-2858
Brian GiordanoDepartment of Orthopedic Surgery University of Rochester Medical Center Rochester New York U.S.A.ORCID https://orcid.org/0000-0002-2021-7587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hip instability after arthroscopy is a rare but challenging complication which can result from iatrogenic capsular deficiency and labral insufficiency. When accompanied by acetabular undercoverage, this combination compromises both the static and dynamic stabilizers of the hip joint, predisposing patients to pain, dysfunction, and progressive joint degeneration. Open reconstruction of these structures can be morbid, particularly in cases requiring a staged periacetabular osteotomy. This report describes an all-arthroscopic technique for simultaneous acetabular labral and hip capsular reconstruction in a patient with recurrent instability after prior arthroscopy. The labrum is reconstructed with a posterior tibialis tendon allograft, whereas a dermal allograft is used to restore the deficient anterior capsule using knotless suture anchor fixation. The technique restores both the suction seal and capsular integrity before a subsequent staged retroverting periacetabular osteotomy, allowing sequential management of soft-tissue and osseous pathology while minimizing morbidity. This combined arthroscopic approach provides a reproducible, minimally invasive method to address soft-tissue instability in patients with labral and capsular insufficiency, optimizing conditions for a later corrective periacetabular osteotomy and potentially delaying or preventing degenerative progression in young, active patients.

Identifiers

PMID42381650
PMCPMC13307227

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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.