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Record W4404122928 · doi:10.1080/10903127.2024.2425819

Uses of Fibrinogen Concentrate in Management of Trauma-Induced Coagulopathy in the Prehospital Environment: A Scoping Review

2024· review· en· W4404122928 on OpenAlexaff
Nura Khattab, Fayad Al‐Haimus, Teruko Kishibe, Netanel Krugliak, Melissa McGowan, Brodie Nolan

Bibliographic record

VenuePrehospital Emergency Care · 2024
Typereview
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineCoagulopathyFibrinogenIntensive care medicineMedical emergencyThrombelastographyEmergency medicineInternal medicineCoagulation

Abstract

fetched live from OpenAlex

OBJECTIVES: Trauma-induced coagulopathy remains a significant contributor to mortality in severely injured patients. Fibrinogen is essential for early hemostasis and is recognized as the first coagulation factor to fall below critical levels, compromising the coagulation cascade. Recent studies suggest that early administration of fibrinogen concentrate is feasible and effective to prevent coagulopathy. We conducted a scoping review to characterize the existing quantity of literature and to explore the usage of prehospital fibrinogen concentrate products in improving clinical outcomes in trauma patients. METHODS: A search strategy was developed and underwent Peer Review of Electronic Search Strategies (PRESS) review in consultation with an information specialist. We searched MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, and Scopus from inception to May 6, 2024. English studies evaluating prehospital civilian and military usage of fibrinogen concentrate in trauma patients were included. Studies were assessed by three independent reviewers for meeting inclusion and exclusion criteria. A hand search of the reference lists of included articles was conducted to identify additional studies meeting inclusion criteria. Clinical endpoints regarding fibrinogen were extracted and synthesized. RESULTS: The literature search returned 1,301 articles with six studies meeting the inclusion criteria. Five studies (83%) were conducted in civilian settings and one study (17%) was conducted in a military setting. Of the included studies, two related studies (29%) utilized a randomized control trial design. We identified five outcomes that compared fibrinogen concentrate to a placebo group. The outcomes included thromboembolic events, clotting time, maximum clot firmness, clot stability at emergency department (ED) admission, and fibrinogen concentration at ED admission. Apart from thromboembolic events, all other reported outcomes showed statistically significant differences in group comparisons, determined using p values. The four (67%) non-clinical studies underscored the robustness, practicality, and degree of fibrinogen concentrate utilization in military environments and retrieval services. CONCLUSIONS: Preliminary research suggests that prehospital fibrinogen concentrate administration in traumatic bleeding patients is both feasible and effective, improving clotting parameters. While implementing a time-saving and proactive approach with fibrinogen holds potential for enhancing trauma care, the current evidence is limited. Further studies in this novel field are warranted.

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)0.007
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0150.015
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0030.001
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 head0.067
GPT teacher head0.388
Teacher spread0.321 · 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 designSystematic review
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

Citations4
Published2024
Admission routes1
Has abstractyes

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