Evidence map›Paper›PMID 34262778›Full record

ArticleAcute medicine & surgery

Alcohol does not increase in-hospital mortality due to severe blunt trauma: an analysis of propensity score matching using the Japan Trauma Data Bank.

Kazuma Sasaki, Hirofumi Obinata, Shoji Yokobori, Taigo Sakamoto

Open access · goldAbstract 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
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Alcohol is a risk factor for helmet non-use and fatalities in off-road vehicle and motorcycle crashes.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  3. 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

4 authors at 2 institutions in 1 country.

Kazuma SasakiDepartment of Emergency and Critical Care Medicine Nippon Medical School Tokyo Japan.ORCID https://orcid.org/0000-0002-6161-3869
Hirofumi ObinataDepartment of Emergency and Critical Care Medicine Nippon Medical School Tokyo Japan.
Shoji YokoboriDepartment of Emergency and Critical Care Medicine Nippon Medical School Tokyo Japan.ORCID https://orcid.org/0000-0002-7409-704X
Taigo SakamotoDepartment of Emergency and Critical Care Medicine Nippon Medical School Tokyo Japan.
Chiba Hokusou Hospital · JPNippon Medical School · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAlcohol-related problems, including trauma, are a great burden on global health. Alcohol metabolism in the Japanese population is genetically inferior to other races. This study aimed to evaluate the effects of alcohol use among a Japanese severe blunt trauma cohort.

methodsThis retrospective observational study analyzed the data of trauma patients registered in the Japan Trauma Data Bank between 2004 and 2019. The primary outcome of this study was in-hospital mortality. The lengths of hospital and intensive care unit stay were the secondary outcomes. Propensity score matching was used to adjust the anatomical severity and patient background to reduce the potential alcohol use bias.

resultsWe analyzed 46,361 patients categorized into nondrinking (

conclusionDespite increasing physiological severity on admission, after adjusting for anatomical severity, alcohol consumption could be beneficial in severe blunt trauma patients as regards in-hospital mortality.

Indexed as

Alcoholin‐hospital mortalityintensive carepropensity score matchingtrauma

Identifiers

PMID34262778
PMCPMC8254651
OpenAlexW3179926285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.