Evidence map›Paper›PMID 26964737›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2016

Predictors of early versus late mortality in pelvic trauma patients.

Hao Wang, Richard D Robinson, Billy Moore, Alexander J Kirk, Jessica Laureano Phillips, Johnbosco Umejiego, Joseph Chukwuma, Tyler Miller, Donna Hassani, Nestor R Zenarosa

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Characteristics of pelvic injuries in a health region of New Zealand.Journal of clinical orthopaedics and trauma · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Factors affecting mortality and reoperations in high-energy pelvic fractures.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2018
    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.

Hao WangEmergency Department, JPS Health Network, 1575 S. Main St, Fort Worth, TX, 76104, USA. HWang01@jpshealth.org.
Richard D RobinsonEmergency Department, JPS Health Network, 1575 S. Main St, Fort Worth, TX, 76104, USA.
Billy MooreResearch Institute, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Alexander J KirkEmergency Department, JPS Health Network, 1575 S. Main St, Fort Worth, TX, 76104, USA.
Jessica Laureano PhillipsResearch Institute, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Johnbosco UmejiegoEmergency Department, JPS Health Network, 1575 S. Main St, Fort Worth, TX, 76104, USA.
Joseph ChukwumaEmergency Department, JPS Health Network, 1575 S. Main St, Fort Worth, TX, 76104, USA.
Tyler MillerEmergency Department, JPS Health Network, 1575 S. Main St, Fort Worth, TX, 76104, USA.
Donna HassaniUniversity of South Florida, Morsani College of Medicine, 12901 Bruce B. Downs Blvd., MDC061, Tampa, FL, 33612-4799, USA.
Nestor R ZenarosaResearch Institute, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisks of predicting time-related in-hospital mortality varies in pelvic trauma patients. We aim to identify potential independent risks predictive of time-related (early versus late) mortality among pelvic trauma patients.

methodsLocal trauma registry data from 2004 through 2013 were reviewed. Mortality causes and timing of death were investigated. Multivariate logistic regression identified independent risks predictive of early versus late mortality in pelvic trauma patients while adjusting for patient demographics (age, sex, race), clinical variables (initial vital signs, mental status, injury severity, associated injuries, comorbidities), and hospital outcomes (surgical interventions, crystalloid resuscitations, blood transfusions).

resultsWe retrospectively collected data on 1566 pelvic trauma patients with a mortality rate of 9.96% (156/1566). Approximately 74% of patients died from massive hemorrhage within the first 24 h of hospitalization (early mortality). Revised trauma score (RTS), injury severity score (ISS), initial hemoglobin, direct transfer to operating room, and blood transfusion administration in the Emergency Department were considered independent risk factors predictive of early mortality. Age, ISS, and Glasgow Coma Scale (GCS) were deemed risk factors predictive of death after 24 h (late mortality). DISCUSSION: Given the fact of a substantial number of patients died within the first 24 h of hospital arrival, it is reasonable to consider the first 24 h of hospitalization as the appropriate window within which early mortality may be expected to occur in pelvic trauma patients. The risk factors associated with massive hemorrhage were strong predictors of early mortality, whereas late mortality predictors were more closely linked with comorbidities or in-hospital complications.

conclusionsWhile risk factors predictive of early versus late mortality vary, ISS seems to predict both early and late mortality accurately in pelvic trauma patients.

Indexed as

AdultAgedFemaleGlasgow Coma ScaleHumansLogistic ModelsMaleMiddle AgedMortalityPelvisRegistriesRetrospective StudiesTrauma Severity IndicesUnited StatesWounds and InjuriesMortalityPelvic traumaPredictorsTime-related

Identifiers

PMID26964737
PMCPMC4785731

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Registered trials

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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.