Evidence map›Paper›PMID 40290364›Full record

ArticleJournal of emergencies, trauma, and shock

A Nomogram Prediction Model for Clinical Outcome of Trauma-induced Coagulopathy Patients with Severe Multiple Trauma.

Jun Shen, Feng Xu

Abstract read
In one paragraph

Article in Journal of emergencies, trauma, and shock. 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

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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.

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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

2 authors.

Jun ShenDepartment of Emergency Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Feng XuDepartment of Emergency Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The objective of this study was to investigate the predictive value of thromboelastography (TEG) combined with conventional coagulation test parameters for the clinical outcome of patients with trauma-induced coagulopathy (TIC) and establish and evaluate a clinical nomogram for predicting the prognosis of TIC patients. Methods: Clinical data of severe multiple trauma patients who underwent emergency treatment in the hospital from November 2018 to August 2021 were enrolled retrospectively. The prognosis was evaluated according to the length of hospital stay and the 30-day survival rate. Multivariable logistic regression model was used to evaluate the correlation between TEG parameters and clinical outcomes. A nomogram model was constructed and the receiver operating characteristic (ROC) curve was used to evaluate the predictive value. Results: Univariate analysis indicated that there were significant differences in age, hypertension, temperature fluctuation (>3°C), transfusion, kinetics time (K), angle (α) value, maximal amplitude (MA), and international normalized ratio between the good and poor outcome group ( Conclusion: TEG parameters combined with relevant clinical indicators can be used to evaluate the prognosis of TIC patients with severe multiple trauma. The establishment of correlation nomogram model was guiding significance for clinical evaluation of long-term prognosis of trauma patients.

Indexed as

Clinical outcomemultiple traumanomogram modelparametersthromboelastographytrauma-induced coagulopathy

Identifiers

PMID40290364
PMCPMC12020931

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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.