Evidence map›Paper›PMID 42058222›Full record

ReviewAdvances in orthopedics2026

The Efficacy of Tranexamic Acid in Anterior Cruciate Ligament Reconstruction: A Systematic Review and Meta-Analysis.

Ben Nagy, Thomas Cho, Briggs Hehl, Jason Suh, Jiayong Liu

Abstract readReview
In one paragraph

Review in Advances in orthopedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ben NagyDepartment of Orthopedic Surgery, University of Toledo Medical Center, Toledo, 43614, Ohio, USA, utoledo.edu.
Thomas ChoDepartment of Orthopedic Surgery, University of Toledo Medical Center, Toledo, 43614, Ohio, USA, utoledo.edu.
Briggs HehlDepartment of Orthopedic Surgery, University of Toledo Medical Center, Toledo, 43614, Ohio, USA, utoledo.edu.
Jason SuhDepartment of Orthopedic Surgery, University of Toledo Medical Center, Toledo, 43614, Ohio, USA, utoledo.edu.
Jiayong LiuDepartment of Orthopedic Surgery, University of Toledo Medical Center, Toledo, 43614, Ohio, USA, utoledo.edu.ORCID https://orcid.org/0000-0002-5895-8276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Arthroscopic reconstruction of the anterior cruciate ligament (ACL) is a well-established surgical intervention following ligament compromise. Administration of tranexamic acid (TXA), an antifibrinolytic agent, has been trialed to improve a variety of surgical outcomes following ACL reconstruction. The objective of this study is to further analyze the effect of TXA on postoperative drain output, functional scores, and overall knee functionality following ACL reconstruction. Methods: Literature retrieval was accomplished using PubMed and Google Scholar up until May 2025. Studies were included if ACL reconstruction outcomes were compared between TXA and control groups and if the relevant outcomes were reported. Review Manager Web was used for statistical analysis, and Results: 14 studies were ultimately included in this meta-analysis, totaling 1328 patients: 689 in the TXA group and 639 in the control group. Regarding VAS scores, significant differences were seen at 1 day ( Conclusion: The TXA group demonstrated significantly better drainage output, pain scores, and ROM in the early postoperative period. The use of TXA in ACL reconstruction appears to yield promising results, leading to a more prompt and efficient rehabilitation process and an overall reduction in pain for patients.

Indexed as

anterior cruciate ligamentoutcomesreconstructiontranexamic acid

Identifiers

PMID42058222
PMCPMC13122725

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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.