Evidence map›Paper›PMID 35495824›Full record

ReviewJournal of family medicine and primary care2022

Anterior cruciate ligament (ACL) injuries: A review on the newest reconstruction techniques.

Mohamad Hadi Gerami, Farshid Haghi, Ferdos Pelarak, Seyed Rohallah Mousavibaygei

Open access · goldAbstract readReview
In one paragraph

Review in Journal of family medicine and primary care, 2022. 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
4.4field-weighted citation impact, top 5% of its field
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, 22 citations in OpenAlex.

  1. Review
  2. A scoping review and guide for in vitro healthy human knee joint laxity.Frontiers in bioengineering and biotechnology · 2026
    Review
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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 at 4 institutions in 2 countries.

Mohamad Hadi GeramiBone and Joint Disease Center of Shiraz University of Medical Sciences, Shiraz, Iran.
Farshid HaghiStudent of Dalian Medical University, Dalian, Liaoning, China.
Ferdos PelarakDepartment of Nursing, Dezful Branch, Islamic Azad University, Dezful, Iran.
Seyed Rohallah MousavibaygeiAssistant Professor, Qom University of Medical Sciences, Qom, Iran.
Dalian Medical University · CNIslamic Azad University, Dezful Branch · IRQom University of Medical Science and Health Services · IRShiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anterior cruciate ligament (ACL) is considered very important for normal knee function, the disruption of which may result in malfunction, meniscal lesions, and the early onset of joint degeneration. The aim of this comprehensive review was to investigate the different techniques used in the reconstruction of damaged ACL. Current methods in reconstruction of ACL include different types of autograft and allograft to replace native ligaments. The ideal graft for reconstruction of ACL is one which is biomechanically similar to the native ligament, is easily harvested, has least harvest site morbidity, and gets well incorporated with the bone. Cross-fixing of hamstrings has been created for ACL reconstruction in the hopes of improving potential problems related to the interference screw and button fixation technique. Previous clinical results indicated that double-bundle ACL reconstruction is equivalent or even superior to single-bundle ACL reconstruction in regaining anterior and rotational stability.

Indexed as

Anterior cruciate ligamentreconstruction ttechniques

Identifiers

PMID35495824
PMCPMC9051673
OpenAlexW4225314290

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.