Evidence map›Paper›PMID 23543966›Full record

ArticleProceedings (Baylor University. Medical Center)2013

Timing and causes of death after injuries.

Justin Sobrino, Shahid Shafi

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 2 pooled it
–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

112 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Trauma-related mortality in a European region with an intermediately mature trauma system: a comprehensive population-based analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Observational
  12. Observational
  13. Article
  14. Review
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  16. Managing apnoea in trauma victims: the potential for dispatcher-assisted airway handling - a narrative review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

52 more citing papers are in PubMed but not listed here.

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

2 authors.

Justin SobrinoInstitute for Health Care Research and Improvement, Baylor Health Care System, Dallas, Texas.
Shahid Shafi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, long-term outcomes are significant because health care system changes will likely lead to a single payment for each occurrence of care, including readmissions-the "bundled payment" system. Therefore, it is essential to understand the outcomes of trauma patients discharged alive from trauma centers. This article reviews the current knowledge base on the timing and causes of deaths after trauma. The trimodal mortality model (immediate deaths, early deaths, and late deaths) is utilized as the early research describing trimodal distribution is discussed. Also covered is the successive work as trauma systems matured, showing a shift toward a bimodal distribution with a decline in late deaths. Finally, studies of long-term outcomes are highlighted. Deaths occurring within minutes or a few hours of injury are largely unchanged, which underscores the enormity of injuries to the central nervous and cardiovascular systems. Late deaths caused by multiple organ failure and sepsis have declined considerably, however. Also, the causes of death in this patient population remain constant. Lastly, a considerable number of deaths after discharge may be due to nontraumatic causes.

Identifiers

PMID23543966
PMCPMC3603725

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.