Evidence map›Paper›PMID 30700488›Full record

Observational studyBMJ open2019

Prehospital factors associated with death on hospital arrival after traffic crash in Japan: a national observational study.

Yusuke Katayama, Tetsuhisa Kitamura, Kosuke Kiyohara, Junya Sado, Tomoya Hirose, Tasuku Matsuyama, Takeyuki Kiguchi, Junichi Izawa, Yuko Nakagawa, Takeshi Shimazu

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Health Care Resources and 24,910 Deaths Due to Traffic Accidents: An Ecological Mortality Study in Poland.International journal of environmental research and public health · 2021
    Article
  4. Article
  5. 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

10 authors at 7 institutions in 1 country.

Yusuke KatayamaDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID 0000-0003-2585-4259
Tetsuhisa KitamuraDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Kosuke KiyoharaDepartment of Food Science, Faculty of Home Economics, Otsuma Women's University, Tokyo, Japan.
Junya SadoDepartment of Health and Sport Sciences, Osaka University Graduate School of Medicine, Medicine for Sports and Performing Arts, Suita, Japan.
Tomoya HiroseEmergency and Critical Care Center, Osaka Police Hospital, Osaka, Japan.
Tasuku MatsuyamaDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takeyuki KiguchiHealth Services, Kyoto University, Kyoto, Japan.
Junichi IzawaIntensive Care Unit, Department of Anesthesiology, The Jikei University School of Medicine, Tokyo, Japan.
Yuko NakagawaDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Takeshi ShimazuDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
The University of Osaka · JPJikei University School of Medicine · JPKyoto Prefectural University of Medicine · JPKyoto University · JPOsaka Police Hospital · JPOsaka University of Health and Sport Sciences · JPOtsuma Women's University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAlthough it is important to assess prehospital factors associated with traffic crash fatalities to decrease them as a matter of public health, such factors have not been fully revealed.

methodsUsing data from the Japanese Trauma Data Bank, a large hospital-based trauma registry in Japan, we retrospectively analysed traffic crash patients transported to participating facilities that treated patients with severe trauma from 2004 to 2015. This study defined registered emergency patients whose systolic blood pressure was 0 mm Hg or heart rate was 0 bpm at hospital arrival as being in prehospital cardiopulmonary arrest (CPA). Prehospital factors associated with prehospital CPA due to traffic crash were assessed with multivariable logistic regression analysis.

resultsIn total, 66 243 patients were eligible for analysis. Of them, 3390 (5.1%) patients were in CPA at hospital arrival. A multivariable logistic regression model showed the following factors to be significantly associated with prehospital CPA: ages 60-74 years (adjusted OR (AOR) 1.256, 95% CI 1.142 to 1.382) and ≥75 years (AOR 1.487, 95% CI 1.336 to 1.654), male sex (AOR 1.234, 95% CI 1.139 to 1.338), night-time (AOR 1.575, 95% CI 1.458 to 1.702), weekend including holiday (AOR 1.078, 95% CI 1.001 to 1.161), rural area (AOR 1.181, 95% CI 1.097 to 1.271), back seat passenger (AOR 1.227, 95% CI 0.985 to 1.528) and pedestrian (AOR 1.754, 95% CI 1.580 to 1.947) as types of patients.

conclusionIn this population, factors associated with prehospital CPA due to a traffic crash were elderly people, male sex, night-time, weekend/holiday, back seat passenger, pedestrian and rural area. These fundamental data may be of help in reducing and preventing traffic crash deaths.

Indexed as

Accidents, TrafficAdolescentAdultAgedAge DistributionChildChild, PreschoolDatabases, FactualEmergency Service, HospitalFemaleHumansInfantInfant, NewbornJapanLogistic ModelsMaleepidemiologypublic health

Identifiers

PMID30700488
PMCPMC6352761
OpenAlexW2912628576

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.