Evidence map›Paper›PMID 41698404›Full record

ReviewThrombosis and haemostasis2026

Approach to Optimizing Tranexamic Acid Use in Trauma: Potential Utilization of Trauma Phenotypes.

Jotaro Tachino, Shunichiro Nakao, Hisatake Matsumoto, Yusuke Katayama, Tetsuhisa Kitamura, Shigeto Seno, Jun Oda

Abstract readReview
In one paragraph

Review in Thrombosis and haemostasis, 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. Article
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.

Jotaro TachinoDepartment of Traumatology and Acute Critical Medicine, Graduate School of Medicine, The University of Osaka, Suita City, Osaka, Japan.ORCID 0000-0002-0423-7713
Shunichiro NakaoDepartment of Traumatology and Acute Critical Medicine, Graduate School of Medicine, The University of Osaka, Suita City, Osaka, Japan.
Hisatake MatsumotoDepartment of Traumatology and Acute Critical Medicine, Graduate School of Medicine, The University of Osaka, Suita City, Osaka, Japan.
Yusuke KatayamaDepartment of Traumatology and Acute Critical Medicine, Graduate School of Medicine, The University of Osaka, Suita City, Osaka, Japan.
Tetsuhisa KitamuraDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, The University of Osaka, Suita City, Osaka, Japan.
Shigeto SenoDepartment of Bioinformatic Engineering, Graduate School of Information Science and Technology, The University of Osaka, Suita City, Osaka, Japan.
Jun OdaDepartment of Traumatology and Acute Critical Medicine, Graduate School of Medicine, The University of Osaka, Suita City, Osaka, Japan.

Funding

JSPS KAKENHI 23K15629Takeda Science Foundation 2024045547
6 · The paper itself

Abstract

Background: Tranexamic acid (TXA) reduces mortality in patients with trauma; however, optimal patient selection remains unclear. This study aimed to identify trauma subgroups most likely to benefit from TXA administration by integrating systematic evidence mapping with trauma phenotype analysis derived from the Japan Trauma Data Bank. Methods: We conducted a two-phase study: first, a systematic search of MEDLINE, Web of Science, and the Cochrane Library databases (inception to June 28, 2024) and identified randomized controlled trials (RCTs) evaluating TXA in trauma; second, we assessed TXA's association with mortality across phenotypes derived through machine learning-based clustering using 14 variables available during initial trauma care. Among eligible studies, control group mortality and number needed to treat (NNT) were calculated and visualized via bubble plots (size = sample size). Results: Five RCTs ( Conclusion: This study suggests that TXA is more effective in trauma subgroups with higher baseline mortality. Phenotype-driven stratification using initial clinical data may support more targeted TXA administration and improve patient outcomes. Further research is needed to validate these phenotypes for clinical implementation.

Indexed as

Antifibrinolytic AgentsHemorrhageTranexamic AcidWounds and InjuriesFemaleHospital MortalityHumansJapanMachine LearningPatient SelectionPhenotypeRandomized Controlled Trials as TopicTreatment OutcomeAntifibrinolytic AgentsTranexamic Acid

Identifiers

PMID41698404
PMCPMC13600770

What OpenQuestion holds

Textmetadata
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.