SynthesisMedicine2017
The efficacy of tranexamic acid in reducing blood loss in total shoulder arthroplasty: A meta-analysis.
Synthesis in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Clinical Effectiveness of Intraoperative Tranexamic Acid Use in Shoulder Surgery: A Systematic Review and Meta-analysis.The American journal of sports medicine · 2021Pooled it
- Tranexamic acid in total shoulder arthroplasty under regional anesthesia: a randomized, single blinded, controlled trial.Brazilian journal of anesthesiology (Elsevier)Trial
- Tranexamic acid in shoulder surgery: a narrative review.JSES reviews, reports, and techniques · 2026Review
- Systematic reviews on tranexamic acid in shoulder arthroplasty frequently exhibit reporting bias.JSES reviews, reports, and techniques · 2026Review
- Tranexamic acid achieves less blood loss volume of in primary shoulder arthroplasty: a systematic review and meta-analysis of level I randomized controlled trials.JSES reviews, reports, and techniques · 2021Review
- Review
- The use of intra-operative tranexamic acid in shoulder surgery: Protocol for a systematic review and meta-analysis.International journal of surgery protocols · 2020Article
- Tranexamic acid use to decrease blood loss in primary shoulder and elbow replacement: A systematic review and meta-analysis.Journal of orthopaedicsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this meta-analysis is to compare the efficacy of tranexamic acid (TXA) versus placebo after a total shoulder arthroplasty (TSA).
methodsIn April 2017, a systematic computer-based search was conducted in the databases of PubMed, Embase, Web of Science, Cochrane Library, and Google. Studies comparing TXA versus placebo in reducing blood loss after TSA were included. The endpoints were the need for transfusion, blood loss in drainage, hemoglobin drop, and total blood loss. Stata 12.0 software was used for the meta-analysis.
resultsSix studies involving a total of 637 patients met the inclusion criteria. The meta-analysis revealed that, compared with control groups, treatment with TXA could decrease the need for transfusion (P < .00001), blood loss in drainage (P = .000), hemoglobin drop (P = .001), and total blood loss (P = .000).
conclusionTXA can decrease the need for transfusion as well as total blood loss in TSA patients. There was a negative correlation between the TXA dose and the need for transfusion and blood loss in drainage. Because the administration route and the dose of TXA were different, more studies are needed in order to identify the optimal dose and route.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.