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Record W4410258742 · doi:10.7759/cureus.83839

Evaluation of Trauma-Induced Coagulopathy by Systematic Insights Into Pathophysiology and Advances in Emergency Resuscitation

2025· review· en· W4410258742 on OpenAlexaboutno aff
Bilal Fattani, Madeeha Minhas, Seemi Tanvir, Soobia Pathan, FNU Barkha, Pirya Nangdev

Bibliographic record

VenueCureus · 2025
Typereview
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCoagulopathyResuscitationIntensive care medicinePathophysiologyEmergency medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Trauma-induced coagulopathy (TIC) exists as a fatal complication that develops from severe injuries and substantially increases patient mortality. Effective knowledge of TIC pathophysiology, together with optimized resuscitation strategies, is fundamental for enhancing patient outcomes. This review system examined TIC mechanisms through an analysis of present-day intervention methods. This systematic research with meta-analysis covered PubMed, Scopus, and Web of Science, together with Google Scholar databases, to review TIC pathophysiology and resuscitation practices. The inclusion of observational and experimental designs occurred by using predetermined selection criteria. Two independent researchers collected data from studies that received quality assessments through the Newcastle-Ottawa Scale (version 2011), along with the Cochrane Risk of Bias Tool (version 2) evaluation. The GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach served as the method for evaluating evidence certainty. The analyzed studies amounted to 11 after meeting the established criteria. Three major mechanisms led to TIC development, including disrupted fibrinolysis function, impaired platelet functioning, and damaged vessel walls. Six studies submitted for meta-analysis demonstrated that coagulation abnormalities, including hypofibrinogenemia and elevated activated protein C, result in adverse outcomes with a pooled HR of 6.3 (95% CI: 3.04-13.05, p < 0.05). The compound variation (I² = 69%) across data points appeared from differences between measurements and experimental conditions used in the studies. This review presents fibrinogen together with thrombin and activated protein C as diagnostic markers for TIC while supporting the use of protocol-based resuscitation. Future research requires several hospitals to participate in trials to establish new treatment protocols and establish uniform biomarker testing procedures in clinical settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.027
metaresearch head score (Gemma)0.088
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.088
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.013
Bibliometrics0.0180.012
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.050
GPT teacher head0.386
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueCureus→Same topicTrauma, Hemostasis, Coagulopathy, Resuscitation→French-language works237,207→