Evidence map›Paper›PMID 33084947›Full record

ArticleWorld journal of surgery2021

An Analysis of 30-Day in-Hospital Trauma Mortality in Four Urban University Hospitals Using the Australia India Trauma Registry.

Prashant Bhandarkar, Priti Patil, Kapil Dev Soni, Gerard M O'Reilly, Satish Dharap, Joseph Mathew, Naveen Sharma, Bhakti Sarang, Anita Gadgil, Nobhojit Roy and 1 more

Abstract read
In one paragraph

Article in World journal of surgery, 2021. 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. Trial
  2. Article
  3. High trauma mortality and severe injury burden in Pakistan: epidemiology, surgical interventions, and in-hospital care from a digital hospital-based trauma registry.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

11 authors.

Prashant BhandarkarTrauma Research Group, WHO Collaborating Centre for Research in Surgical Care Delivery in LMICs, Mumbai, India.
Priti PatilTrauma Research Group, WHO Collaborating Centre for Research in Surgical Care Delivery in LMICs, Mumbai, India.
Kapil Dev SoniCritical and Intensive Care, JPN Apex Trauma Centre, AIIMS, New Delhi, India.
Gerard M O'ReillyNational Trauma Research Institute, The Alfred, Melbourne, Australia.
Satish DharapTopiwala National Medical College & B.Y.L. Nair Ch. Hospital, Mumbai, India.
Joseph MathewNational Trauma Research Institute, The Alfred, Melbourne, Australia.
Naveen SharmaDepartment of Surgery, All India Institute of Medical Sciences (AIIMS), Jodhpur, India.
Bhakti SarangTrauma Research Group, WHO Collaborating Centre for Research in Surgical Care Delivery in LMICs, Mumbai, India.
Anita GadgilTrauma Research Group, WHO Collaborating Centre for Research in Surgical Care Delivery in LMICs, Mumbai, India.
Nobhojit RoyTrauma Research Group, WHO Collaborating Centre for Research in Surgical Care Delivery in LMICs, Mumbai, India. nobhojit.roy@ki.se.ORCID http://orcid.org/0000-0003-2022-7416
Australia-India Trauma System Collaboration

Funding

The Australia-India Strategic Research Fund AISRF-GA12, Grant Number GCF0200130
6 · The paper itself

Abstract

backgroundIndia has one-sixth (16%) of the world's population but more than one-fifth (21%) of the world's injury mortality. A trauma registry established by the Australia India Trauma Systems Collaboration (AITSC) Project was utilized to study 30-day in-hospital trauma mortality at high-volume Indian hospitals.

methodsThe AITSC Project collected data prospectively between April 2016 and March 2018 at four Indian university hospitals in New Delhi, Mumbai, and Ahmedabad. Patients admitted with an injury mechanism of road or rail-related injury, fall, assault, or burns were included. The associations between demographic, physiological on-admission vitals, and process-of-care parameters with early (0-24 h), delayed (1-7 days), and late (8-30 days) in-hospital trauma mortality were analyzed.

resultsOf 9354 patients in the AITSC registry, 8606 were subjected to analysis. The 30-day mortality was 12.4% among all trauma victims. Early (24-h) mortality was 1.9%, delayed (1-7 days) mortality was 7.3%, and late (8-30 days) mortality was 3.2%. Abnormal physiological parameters such as a low SBP, SpO2, and GCS and high HR and RR were observed among non-survivors. Early initiation of trauma assessment and monitoring on arrival was an important process of care indicator for predicting 30-day survival.

conclusionsOne in ten admitted trauma patients (12.4%) died in urban trauma centers in India. More than half of the trauma deaths were delayed, beyond 24 h but within one week following injury. On-admission physiological vital signs remain a valid predictor of early 24-h trauma mortality.

Indexed as

Hospital MortalityTrauma CentersAdolescentAdultChildFemaleHospitals, UniversityHospitals, UrbanHumansIndiaMaleMiddle AgedRegistriesWounds and InjuriesYoung Adult

Identifiers

PMID33084947
PMCPMC7773616

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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.