Evidence map›Paper›PMID 33680771›Full record

ArticleArthroscopy techniques2021

Anterior Cruciate and Anterolateral Ligament Reconstruction Using Hamstring and Peroneus Longus Tendons: Surgical Technique Description.

Diego Escudeiro de Oliveira, Victor Picchi Zaccharias, Melanie Mayumi Horita, Luiz Gabriel Betoni Guglielmetti, Aires Duarte Junior, Pedro Baches Jorge

Abstract read
In one paragraph

Article in Arthroscopy techniques, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Low to moderate risk of nerve damage during peroneus longus tendon autograft harvest.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022
    Article
  8. Article
  9. Article
  10. 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.

Diego Escudeiro de OliveiraOrthopedics and Traumatology Department, Faculdade de Ciências Médicas da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Victor Picchi ZacchariasOrthopedics and Traumatology Department, Faculdade de Ciências Médicas da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Melanie Mayumi HoritaOrthopedics and Traumatology Department, Faculdade de Ciências Médicas da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Luiz Gabriel Betoni GuglielmettiOrthopedics and Traumatology Department, Faculdade de Ciências Médicas da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Aires Duarte JuniorOrthopedics and Traumatology Department, Faculdade de Ciências Médicas da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Pedro Baches JorgeOrthopedics and Traumatology Department, Faculdade de Ciências Médicas da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main objective of this study is to describe a surgical technique that combines intra- and extra-articular techniques using the semitendinosus, gracilis, and peroneus longus to perform reconstruction of the anterior cruciate ligament and anterolateral ligament. This technique offers a more stable, fast, low-cost, and widely accessible procedure and consists of drilling 3 tunnels-1 femoral and 2 tibial tunnels-in which the grafts are fixed with interference screws. The fact that the peroneus longus graft is long and thick allows for robust reconstruction of the aforementioned ligaments.

Identifiers

PMID33680771
PMCPMC7917200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.