Evidence map›Paper›PMID 26079917›Full record

ArticleAnnals of surgery2016

It's All About Location, Location, Location: A New Perspective on Trauma Transport.

Joshua J Shaw, Charles M Psoinos, Heena P Santry

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Annals of surgery, 2016. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

3 authors.

Joshua J Shaw*Department of Surgery University of Massachusetts Medical School, Worcester, MA †Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA.
Charles M Psoinos
Heena P Santry

Funding

UNIVERSITY OF MASSACHUSETTS CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCEUL1RR031982 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$6.8M
University of Massachusetts Center for Clinical and Translational ScienceKL2TR000160 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2014
$1.7M
University of Massachusetts Center for Clinical and Translational ScienceKL2RR031981 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$1.2M
A New Specialty Responding To National Needs: Does Acute Care Surgery Deliver?R01HS022694 · AHRQ · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SANTRY, HEENA PRAVIN · 2014 to 2014
$1.2M
AHRQ HHS R01 HS022694AHRQ HHS R01HS22694NCATS NIH HHS KL2 TR000160NCRR NIH HHS 1KL2RR031981-01NCRR NIH HHS KL2 RR031981NCRR NIH HHS UL1RR031982
6 · The paper itself

Abstract

objectiveTo determine the effect of aeromedical transport on trauma mortality when accounting for geographic factors.

backgroundThe existing literature on the mortality benefit of aeromedical transport on trauma mortality is controversial. Studies examining patient and injury characteristics find higher mortality, whereas studies measuring injury severity find a protective effect. Previous studies have not adjusted for the time and distance that would have been traveled had a helicopter not been used.

methodsRetrospective analysis of an institutional trauma registry. We compared mortality among adult patients (≥15 years) transported from the scene of injury to our level I trauma center by air or ground (January 1, 2000-December 31, 2010) using univariate comparisons and multivariable logistic regression. Regression models were constructed to incrementally account for patient demographics and injury mechanism, followed by injury severity, and, finally, by network bands for drive time and roadway distance as predicted by geographic information systems.

resultsOf 4522 eligible patients, 1583 (35%) were transported by air. Patients transported by air had higher unadjusted mortality (4.1% vs 1.9%, P < 0.05). In multivariable modeling, including patient demographics and type of injury, helicopter transport predicted higher mortality than ground transport (odds ratio [OR] 2.4, 95% confidence interval [CI] 1.2-4.0). After adding validated injury severity measures to the model, helicopter transport predicted lower mortality (OR 0.7, 95% CI 0.3-0.9). Finally, including geographic covariates found that helicopter transport was not associated with mortality (OR 1.1, 95% CI 0.6-2.3).

conclusionsHelicopter transport does not impart a survival benefit for trauma patients when geographic considerations are taken into account.

Indexed as

Air AmbulancesHealth Services AccessibilityAdolescentAdultAgedAged, 80 and overFemaleHumansInjury Severity ScoreLogistic ModelsMaleMassachusettsMiddle AgedRegistriesRetrospective StudiesWounds and Injuries

Identifiers

PMID26079917
PMCPMC6921519

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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.