Evidence map›Paper›PMID 39736700›Full record

SynthesisBMC musculoskeletal disorders2024

Suture techniques in the surgical management of flexor tendon, Achilles tendon and cruciate ligament injuries: a systematic review.

Guoshuai Liu, Gege Lv, Fei Liu

Abstract readSystematic Review
In one paragraph

Synthesis in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

3 authors.

Guoshuai LiuSchool of Graduate, Chengde Medical University, Chengde, China.
Gege LvDepartment of Orthopedics, Guangzhou Eighth People's Hospital,Guangzhou Medical University, Guangzhou, China.
Fei LiuDepartment of Orthopedics, The First Hospital of Qinhuangdao, Qinhuangdao, China. liufeiqhd@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo provide clinicians with reliable recommendations for the selection of appropriate suturing techniques for surgical management of common musculoskeletal soft tissue injuries.

methodsA systematic search of PubMed, Springer, Web Science, Vip Database, China National Knowledge, and Wanfang Data for in vitro biomechanical studies on suture techniques in the surgical treatment of musculoskeletal soft tissue injuries covering relevant studies from April 2009 to April 2024 was performed. A generalized classification was made based on the characteristics of the techniques, and recommendations for the selection of suture techniques were made according to the GRADE concept.

resultsThe search strategy returned 1015 articles, of which 66 were included. These studies presented moderate and high levels of evidence-based evidence and provided varying recommendations for the choice of suturing techniques in the treatment of three common musculoskeletal soft tissue injuries. Categorizing suturing techniques according to their structural principles further increases the reliability of opinions.

conclusionThe ideal suture technique must be a compromise between the complexity and strength of the repair, which is a great challenge for clinicians. This review can provide an objective and reliable clinical guide for making suture technique choices for common musculoskeletal soft tissue repair.

Indexed as

Achilles TendonSuture TechniquesTendon InjuriesAnterior Cruciate LigamentBiomechanical PhenomenaHumansSoft Tissue InjuriesAchilles tendon injuryBiomechanical testHand tendon injuryMusculoskeletal soft tissueReconstruction of cruciate ligamentSuture technique

Identifiers

PMID39736700
PMCPMC11684085

What OpenQuestion holds

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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.