Evidence map›Paper›PMID 41660374›Full record

ArticleJB & JS open access

Thrombelastography as a Predictive Tool for Thromboembolic Events After Extremity Trauma: A Secondary Analysis of PREVENT-CLOT.

Cory K Mayfield, Nathan N O'Hara, Prism S Schneider, Renan C Castillo, Robert V O'Toole, Katherine P Frey, William Obremskey, Deborah M Stein, Reza Firoozabadi, Stephen J Warner and 2 more

Abstract read
In one paragraph

Article in JB & JS open access. 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

12 authors.

Cory K MayfieldKeck School of Medicine of the University of Southern California, Los Angeles, California.ORCID https://orcid.org/0000-0001-5268-3817
Nathan N O'HaraUniversity of Maryland School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0003-0537-3474
Prism S SchneiderUniversity of Calgary, Calgary, Alberta.ORCID https://orcid.org/0000-0002-2653-6503
Renan C CastilloMETRC Coordinating Center at Johns Hopkins School of Public Health, Baltimore, Maryland.
Robert V O'TooleUniversity of Maryland School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0002-5628-6584
Katherine P FreyMETRC Coordinating Center at Johns Hopkins School of Public Health, Baltimore, Maryland.ORCID https://orcid.org/0000-0001-5305-1774
William ObremskeyVanderbilt University Medical Center, Nashville, Tennessee.
Deborah M SteinUniversity of Maryland School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0003-3683-3963
Reza FiroozabadiUniversity of Washington Harborview Medical Center, Seattle, Washington.ORCID https://orcid.org/0000-0002-0221-2408
Stephen J WarnerMcGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas.ORCID https://orcid.org/0000-0001-7093-8836
Madhav A KarunakarCarolinas Medical Center Atrium Health Musculoskeletal Institute, Charlotte, North Carolina.ORCID https://orcid.org/0000-0002-5694-4524
Joshua L GaryKeck School of Medicine of the University of Southern California, Los Angeles, California.ORCID https://orcid.org/0000-0002-6326-2468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Venous thromboembolism (VTE) poses significant risk of morbidity and mortality in orthopaedic trauma patients. Thromboelastography (TEG) analysis has been demonstrated to provide value in demonstrating hypercoagulability and predicting the risk of post-injury VTE. The primary aim was to investigate if TEG analysis at the time of admission following severe extremity trauma predicts thromboembolic events. We hypothesized that previously described elevations in maximal amplitude (MA) on initial TEG would correlate with an increased risk of VTE. Methods: This was a secondary study of PREVENT CLOT, a multicenter, randomized trial that enrolled adult patients with an extremity fracture (from hip to midfoot or shoulder to wrist) treated operatively or any pelvic or acetabular fracture. TEG at admission was performed according to local protocols. The primary outcome of this analysis was postoperative VTE. We assessed the association between admission TEG values and VTE using bivariate and multivariable regression analyses. Statistical significance was set at p < 0.05. Results: Thousand one hundred eighty-three patients enrolled participants in the PREVENTion of CLots in Orthopedic Trauma (PREVENT CLOT) trial had TEG analysis performed on initial presentation. Of these patients, 47 (3.97%) had a symptomatic postoperative VTE at a median of 9 days (interquartile range, 4-18 days). There were no differences in VTE rates when examining MA of ≥65, ≥69, or ≥72 (p = 0.12, 0.21, and 0.19, respectively). However, on admission TEG, reaction time (R-time) was significantly higher among those who experienced a postoperative deep venous thrombosis (2.45 vs. 1.79, p < 0.01). After controlling for confounders, R-time of ≥2.0 was associated with a 2.1-fold increased odds of VTE (OR 2.13, 95% confidence interval 1.06-4.28, p < 0.001). Conclusion: In contrast to previous smaller retrospective studies, elevated admission-TEG MA values were not predictive of VTE following operative orthopaedic extremity trauma in this secondary analysis of a large multicenter prospective study. Our findings suggest that an increased R-time on the admission TEG, which is thought to be indicative of a longer time to form a clot, may be paradoxically associated with an increased VTE risk in orthopedic trauma patients. Level of Evidence: Level II. See Instructions for Authors for a complete description of levels of evidence.

Identifiers

PMID41660374
PMCPMC12879966

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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.