Evidence map›Paper›PMID 33209332›Full record

ArticleAcute medicine & surgery

Indications for early plasma transfusion and its optimal use following trauma.

Hiroyuki Otsuka, Naoki Sakoda, Atsushi Uehata, Toshiki Sato, Keiji Sakurai, Hiromichi Aoki, Takeshi Yamagiwa, Shinichi Iizuka, Sadaki Inokuchi

Abstract read
In one paragraph

Article in Acute medicine & surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 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

9 authors.

Hiroyuki OtsukaDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara City Japan.ORCID https://orcid.org/0000-0002-5869-9569
Naoki SakodaDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara City Japan.
Atsushi UehataDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara City Japan.
Toshiki SatoDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara City Japan.
Keiji SakuraiDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara City Japan.
Hiromichi AokiDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara City Japan.
Takeshi YamagiwaDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara City Japan.
Shinichi IizukaDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara City Japan.
Sadaki InokuchiDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara City Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to evaluate the effect of plasma transfusion before urgent hemostasis initiation on in-hospital mortality in hemodynamically unstable patients with severe trauma.

methodsThis retrospective observational study of patients admitted to hospital between January 2011 and January 2019 grouped patients according to whether plasma transfusion was initiated before (Before group) or after (After group) hemostasis initiation. Patients with severe trauma who were unable to wait for plasma transfusion and had started hemostasis before the plasma infusion were excluded. We used multivariable logistic regression analysis to determine the effect of plasma transfusion before the initiation of urgent hemostasis on in-hospital mortality.

resultsWe included 47 and 73 patients in the Before and After groups, respectively. Blunt trauma was more common, and the D-dimer levels and Injury Severity Score were significantly higher in the Before group than in the After group (median D-dimer, 57.5 versus 38.1 μg/mL;

conclusionPlasma transfusion before hemostasis initiation could be an important factor for improving outcomes in hemodynamically unstable patients with blunt trauma, high D-dimer levels, or a high Injury Severity Score.

Indexed as

Blood component transfusionhemostasisInjury Severity Scoreplasma volumeTrauma Severity Index

Identifiers

PMID33209332
PMCPMC7659524

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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.