Evidence map›Paper›PMID 29635550›Full record

ReviewMilitary medicine2018

Utilizing Propensity Score Analyses in Prehospital Blood Product Transfusion Studies: Lessons Learned and Moving Toward Best Practice.

Thomas J Greene, Stacia M DeSantis, Erin E Fox, Charles E Wade, John B Holcomb, Michael D Swartz

Open access · bronzeAbstract readReview
In one paragraph

Review in Military medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Thomas J GreeneDepartment of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX 77030.
Stacia M DeSantisDepartment of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX 77030.
Erin E FoxCenter for Translational Injury Research, University of Texas Health Science Center at Houston, 6410 Fannin St, Houston, TX 77030.
Charles E WadeCenter for Translational Injury Research, University of Texas Health Science Center at Houston, 6410 Fannin St, Houston, TX 77030.
John B HolcombCenter for Translational Injury Research, University of Texas Health Science Center at Houston, 6410 Fannin St, Houston, TX 77030.
Michael D SwartzDepartment of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX 77030.
The University of Texas Health Science Center at Houston · US

Funding

Resuscitation Outcomes Consortium (ROC) Data Coordinating CenterU01HL077863 · NHLBI · UNIVERSITY OF WASHINGTON · PI MAY, SUSANNE · 2004 to 2015
$125.1M
Training Program in Biostatistics at UTHSCH-SPHT32GM074902 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DESANTIS, STACIA · 2006 to 2018
$1.4M
NHLBI NIH HHS U01 HL077863NIGMS NIH HHS T32 GM074902
6 · The paper itself

Abstract

Recently, observational studies analyzing prehospital blood product transfusions (PHT) for trauma have become more widespread in both military and civilian communities. Due to these studies' non-random treatment assignment, propensity score (PS) methodologies are often used to determine an intervention's effectiveness. However, there are no guidelines on how to appropriately conduct PS analyses in prehospital studies. Such analyses are complicated when treatments are given in emergent settings as the ability to administer treatment early, often before hospital admission, can interfere with assumptions of PS modeling. This study conducts a systematic review of literature from military and civilian populations to assess current practice of PS methodology in PHT analyses. The decision-making process from the multicenter Prehospital Resuscitation on Helicopter Study (PROHS) is discussed and used as a motivating example. Results show that researchers often omit or incorrectly assess variable balance between treatment groups and include inappropriate variables in the propensity model. When used correctly, PS methodology is an effective statistical technique to show that aggressive en route resuscitation strategies, including PHT, can reduce mortality in individuals with severe trauma. This review provides guidelines for best practices in study design and analyses that will advance trauma care.

Indexed as

Propensity ScoreBenchmarkingBlood TransfusionEmergency Medical ServicesHumansObservational Studies as TopicResuscitation

Identifiers

PMID29635550
PMCPMC6020820
OpenAlexW2796074087

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.