Evidence map›Paper›PMID 33050378›Full record

ArticleJournal of clinical medicine2020

Predictive Factors for Massive Transfusion in Trauma: A Novel Clinical Score from an Italian Trauma Center and German Trauma Registry.

Sara Giulia Cornero, Marc Maegele, Rolf Lefering, Claudia Abbati, Shailvi Gupta, Fabrizio Sammartano, Stefania Cimbanassi, Osvaldo Chiara

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Sara Giulia CorneroTrauma Team and General Surgery ASST Niguarda Milano, Department of Pathophysiology and Transplantation, University of Milano, 20125 Milano, Italy.
Marc MaegeleCologne-Merheim Medical Center, Department for Trauma and Orthopedic Surgery, Institute for Research in Operative Medicine, University Witten/Herdecke, 51109 Köln, Germany.
Rolf LeferingCologne-Merheim Medical Center, Department for Trauma and Orthopedic Surgery, Institute for Research in Operative Medicine, University Witten/Herdecke, 51109 Köln, Germany.
Claudia AbbatiTrauma Team and General Surgery ASST Niguarda Milano, Department of Pathophysiology and Transplantation, University of Milano, 20125 Milano, Italy.
Shailvi GuptaR Adams Cowley Shock Trauma Center, University of Maryland Medical System, Baltimore, MD 21201, USA.
Fabrizio SammartanoTrauma Team and General Surgery ASST Niguarda Milano, Department of Pathophysiology and Transplantation, University of Milano, 20125 Milano, Italy.
Stefania CimbanassiTrauma Team and General Surgery ASST Niguarda Milano, Department of Pathophysiology and Transplantation, University of Milano, 20125 Milano, Italy.
Osvaldo ChiaraTrauma Team and General Surgery ASST Niguarda Milano, Department of Pathophysiology and Transplantation, University of Milano, 20125 Milano, Italy.ORCID 0000-0003-2409-2109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early management of critical bleeding and coagulopathy can improve patient survival. The aim of our study was to identify independent predictors of critical bleeding and to build a clinical score for early risk stratification. A prospective analysis was performed on a cohort of trauma patients with at least one hypotensive episode during pre-hospital (PH) care or in the Emergency Department (ED). Patients who received massive transfusion (MT+) (≥4 blood units during the first hour) were compared to those who did not (MT-). Hemodynamics, Glagow Coma Score (GCS), diagnostics and blood tests were evaluated. Using multivariate analysis, we created and validated a predictive score for MT+ patients. The predictive score was validated on a matched cohort of patients of the German Trauma Registry TR-DGU. One hundred thirty-nine patients were included. Independent predictors of MT+ included a prehospital (PH) GCS of 3, PH administration of tranexamic acid, hypotension and tachycardia upon admission, coagulopathy and injuries with significant bleeding such as limb amputation, hemoperitoneum, pelvic fracture, massive hemothorax. The derived predictive score revealed an area under the curve (AUC) of 0.854. Massive transfusion is essential to damage control resuscitation. Altered GCS, unstable hemodynamics, coagulopathy and bleeding injuries can allow early identification of patients at risk for critical hemorrhage.

Indexed as

bleedingblood transfusionscoretrauma

Identifiers

PMID33050378
PMCPMC7601146

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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.