Evidence map›Paper›PMID 34689985›Full record

SynthesisInjury2022

The effect of transfer status on trauma outcomes in low- and middle-income countries: A systematic review and meta-analysis.

Avital Yohann, Ian Kratzke, Brittney Williams, Anthony Charles

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Injury, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Chinese expert consensus on the prehospital management of major trauma.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2026
    Article
  4. Emergency medical services in the Limpopo province: Is there a need for change and is trauma different?South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2026
    Observational
  5. Article
  6. Observational
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

4 authors.

Avital YohannDepartment of Surgery, University of North Carolina at Chapel Hill, 4008 Burnett Womack Building, CB 7228, United States.
Ian KratzkeDepartment of Surgery, University of North Carolina at Chapel Hill, 4008 Burnett Womack Building, CB 7228, United States.
Brittney WilliamsDepartment of Surgery, University of North Carolina at Chapel Hill, 4008 Burnett Womack Building, CB 7228, United States.
Anthony CharlesDepartment of Surgery, University of North Carolina at Chapel Hill, 4008 Burnett Womack Building, CB 7228, United States; Kamuzu Central Hospital, Lilongwe, Malawi. Electronic address: anthchar@med.unc.edu.

Funding

UJMT – ORWH – Gazzetta, Issa-BoubeD43TW009340 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI William Checkley, Benjamin H. Chi · 2017 to 2026
$14.8M
FIC NIH HHS D43 TW009340
6 · The paper itself

Abstract

introductionInjuries are a leading cause of disability and death worldwide, and low- and middle-income countries (LMICs) are disproportionately burdened by trauma. Prior studies have shown that transfer status (direct transfer from injury scene to a referral hospital versus indirect transfer from another facility to a referral hospital) may affect patient outcomes. The purpose of this study is to evaluate the relationship between transfer status and trauma patient outcomes in LMICs by conducting a systematic review and meta-analysis.

methodsWe performed a systematic search to identify studies from LMICs that evaluated the relationship between transfer status and trauma patient outcomes. We extracted data on study country, design, patient characteristics, and outcomes. We report results in the form of a narrative summary stratified by type of outcome. We also performed a meta-analysis of studies that reported mortality by transfer status. We calculated a pooled odds ratio of mortality among indirectly transferred (IT) versus directly transferred (DT) patients using random-effects modeling.

resultsWe included 17 observational studies from 9 LMICs in this systematic review. Outcomes assessed were time from injury to arrival at a referral hospital, post-trauma functional status, hospital length of stay, and mortality. IT patients took between 0.6 and 37.9 h longer to arrive at referral hospitals than DT patients. Hospital length of stay was up to 6 days longer for IT patients than DT patients. The pooled odds ratio of mortality among IT patients compared to DT patients was 1.55 (95% CI 1.12 - 2.15; p = 0.009).

conclusionTrauma patients in LMICs who are indirectly transferred to referral hospitals have significantly higher mortality rates than patients who present directly to referral hospitals. These results conflict with findings from HICs and reflect the relative immaturity of trauma systems in LMICs. Strategies to narrow the mortality gap between IT and DT patients include improving prehospital and primary hospital care and developing more efficient transfer protocols.

Indexed as

Developing CountriesWounds and InjuriesHospitalsHumansOdds RatioPovertyReferral and ConsultationInter-facility transferTraumaTrauma center' Trauma systems

Identifiers

PMID34689985
PMCPMC9176640

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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.