Evidence map›Paper›PMID 39773522›Full record

SynthesisJournal of orthopaedic surgery and research2025

Combining an internal tension relieving technique with anterior cruciate ligament reconstruction (ACLR) reduces graft failure rate and improves functional outcomes: a systematic review and meta-analysis.

Yixin Wen, Wei Huang, Minghui Li, Yong Jiang, Yibo Tong, Hongjun Mei, Junfeng Tan

Abstract readLetterMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of orthopaedic surgery and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Yixin Wen *Department of Orthopaedic Surgery, The Fifth Hospital of Wuhan, Wuhan, Hubei, 430000, China.
Wei Huang *Department of Gynecologic and Oncology, Tongji Medical College, Hubei Cancer Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, 430000, China.
Minghui LiDepartment of Orthopaedic Surgery, The Fifth Hospital of Wuhan, Wuhan, Hubei, 430000, China.
Yong JiangDepartment of Orthopaedic Surgery, The Fifth Hospital of Wuhan, Wuhan, Hubei, 430000, China.
Yibo TongDepartment of Orthopaedic Surgery, The Fifth Hospital of Wuhan, Wuhan, Hubei, 430000, China.
Hongjun MeiDepartment of Orthopaedic Surgery, The Fifth Hospital of Wuhan, Wuhan, Hubei, 430000, China. 50987981@qq.com.
Junfeng TanDepartment of Orthopaedic Surgery, The Fifth Hospital of Wuhan, Wuhan, Hubei, 430000, China. tjs07118629@163.com.

Funding

A biomechanical study of different internal fixation systems for the fixation of Pauwels IIIfemoral neck fractures WX20D59
6 · The paper itself

Abstract

purposeGraft rupture is a significant cause of graft failure in anterior cruciate ligament reconstruction (ACLR). To address this issue, clinicians have combined the internal tension relieving technique (ITRT) with ACLR to improve graft stiffness, aiming to reduce the risk of graft failure. The purpose of this study is to compare the graft failure rates and clinical functional outcomes between ITRT-assisted ACLR and conventional ACLR.

methodsFollowing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a search was conducted in databases including Ovid, PubMed, Web of Science, Embase, Cochrane Library, Wanfang Data, CNKI, and VIP Medical Database for clinical controlled trials comparing the ITRT combined with ACLR to conventional ACLR. The search period spanned from the establishment of the databases to September 2024. Studies meeting the inclusion and exclusion criteria were selected, with two independent reviewers conducting literature screening, quality assessment, and data extraction. Data analysis was performed using RevMan 5.4 software. The evaluated outcomes included graft failure rate, Lysholm Knee Scoring Scale, Tegner activity score, Knee injury and Osteoarthritis Outcome Score (KOOS), International Knee Documentation Committee (IKDC) score, Visual Analog Scale (VAS) score, Single Assessment Numeric Evaluation (SANE), return to sport (RTS) rate, and knee joint laxity.

resultsA total of 11 studies were included in the final analysis, with 1,339 patients (592 patients with ITRT-assisted ACLR and 747 patients with conventional ACLR). The combined analysis results indicated that, compared to conventional ACLR, ITRT-assisted ACLR showed significant advantages in reducing graft failure rates (RR = 0.44; 95% CI: 0.23, 0.83; P = 0.01), increasing return-to-sport rates (MD = 1.75; 95% CI: 1.05, 2.91; P = 0.03), and improving knee scores (including KOOS score and Tegner activity score) (all P values < 0.05). However, no significant differences were observed between the two approaches in terms of Lysholm knee score, VAS score, IKDC score, and knee joint laxity.

conclusionsThis meta-analysis highlighted the significance and superiority of combining ITRT with ACLR compared to conventional ACLR, particularly in reducing graft failure rate and improving knee function outcomes. The ITRT-assisted ACLR procedure may represent the optimal approach for minimizing graft failure. However, given the limitations of short-term follow-up and reliance on retrospective studies, more randomized controlled trials and longer follow-up periods are needed to further evaluate the long-term graft failure rates and functional outcomes.

Indexed as

Anterior Cruciate Ligament ReconstructionAdultAnterior Cruciate Ligament InjuriesFemaleGraft RejectionHumansMaleRecovery of FunctionTreatment OutcomeAnterior cruciate ligament reconstructionGraft failureInternal tension relieving techniqueKnee scoreMeta-analysis

Identifiers

PMID39773522
PMCPMC11705829

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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.