Evidence map›Paper›PMID 28538377›Full record

Observational studyMedicine2017

Time distribution of injury-related in-hospital mortality in a trauma referral center in South of Iran (2010-2015).

Hamidreza Abbasi, Shahram Bolandparvaz, Mahnaz Yadollahi, Mehrdad Anvar, Zahra Farahgol

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Severity and injury characteristics among matched hospitalized motorcycle drivers and their passengers.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2019
    Article
  12. Review
  13. Article
  14. 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

5 authors.

Hamidreza AbbasiTrauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
Shahram Bolandparvaz
Mahnaz Yadollahi
Mehrdad Anvar
Zahra Farahgol

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Iran, there are no studies addressing trauma death timing and factors affecting time of death after injuries. This study aimed to examine time distribution of trauma deaths in an urban major trauma referral center with respect to victims' injury characteristics during 2010 to 2015.This was a cross-sectional study of adult trauma-related in-hospital deaths resulting from traffic-related accidents, falls, and violence-related injuries. Information on injury characteristics and time interval between admission and death was extracted from 3 hospital databases. Mortality time distribution was analyzed separately in the context of each baseline variable.A total of 1117 in-hospital deaths (mean age 47.6 ± 22.2 years, 80% male) were studied. Deaths timing followed an extremely positive skewed bimodal distribution with 1 peak during the first 24 hours of admission (41.6% of deaths) and another peak starting from the 7th day of hospitalization to the end of first month (27.7% of total). Subjects older than 65 years were more likely to die after 24 hours compared to younger deceased (P = .031). More than 70% of firearm-related deaths and 48% of assault-related mortalities occurred early, whereas 67% and 66% of deaths from falls and motorcycle accidents occurred late (P < .001). Over 57% of deaths from severe thoracic injuries occurred early, whereas this value was only 37% for central nervous system injuries (P < .001). From 2010 to 2015, percentage of late deaths decreased significantly from 68% to 54% (P < .001).Considering 1 prehospital peak of mortality and 2 in-hospital peaks, mortality time distribution follows the old trimodal pattern in Shiraz. This distribution is affected by victims' age, injury mechanism, and injured body area. Although such distribution reflects a relatively lower quality of care comparing to mature trauma systems, a change toward expected bimodal pattern has started.

Indexed as

Hospital MortalityAccidental FallsAccidents, TrafficAdolescentAdultAgedCross-Sectional StudiesFemaleHumansIranMaleMiddle AgedTime FactorsTrauma CentersTrauma Severity IndicesViolence

Identifiers

PMID28538377
PMCPMC5457857

What OpenQuestion holds

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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.