Evidence map›Paper›PMID 32714817›Full record

ArticleArthroscopy techniques2020

Partial Patellar Lateral Facetectomy: Arthroscopic Technique.

Axel Schmidt, John Swan, Sébastien Lustig, Elvire Servien

Abstract read
In one paragraph

Article in Arthroscopy techniques, 2020. 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. [Expert consensus on surgical treatment of patellofemoral osteoarthritis].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2021
    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

4 authors.

Axel SchmidtFIFA Medical Center of Excellence, Orthopaedics Surgery and Sports Medicine Department, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, France.
John SwanFIFA Medical Center of Excellence, Orthopaedics Surgery and Sports Medicine Department, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, France.
Sébastien LustigFIFA Medical Center of Excellence, Orthopaedics Surgery and Sports Medicine Department, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, France.
Elvire ServienFIFA Medical Center of Excellence, Orthopaedics Surgery and Sports Medicine Department, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lateral patellofemoral osteoarthritis is a relatively common condition in young, active patients. Partial lateral patellar facetectomy is a relatively minimally invasive option to restore knee function and return to sport when conservative treatments are insufficient. We describe the arthroscopic technique of partial lateral patellar facetectomy , which has been historically performed as an open procedure. We describe preoperative planning, arthroscopic portals, landmarks, intra-articular evaluation of bone resection, and surgical difficulties. The goal of the preoperative planning was a target bone resection of 10 to 15 mm including osteophytes and the lateral facet of the patella. Arthroscopic anterolateral and anterior superolateral portals were used to achieve the desired resection. An arthroscopic technique allows a direct view of the osteoarthritic bone for removal and permits intraoperative dynamic evaluation, which allows the surgeon to finetune the bone resection and obtain optimal patellar tracking. Avoiding arthrotomy could reduce morbidity and allows a rapid postoperative rehabilitation.

Identifiers

PMID32714817
PMCPMC7372596

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.