Evidence map›Paper›PMID 30382165›Full record

ArticleSpinal cord2019

A prediction model to identify people with spinal cord injury who are at high risk of dying within 5 years of discharge from hospital in Bangladesh.

Mohammad Sohrab Hossain, Lisa A Harvey, Md Shofiqul Islam, Md Akhlasur Rahman, Joanne V Glinsky, Robert D Herbert

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Article in Spinal cord, 2019. 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. Trial
  2. Trial
  3. Article
  4. Understanding the Global Challenges to Accessing Appropriate Wheelchairs: Position Paper.International journal of environmental research and public health · 2021
    Article
  5. 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

6 authors.

Mohammad Sohrab HossainCentre for the Rehabilitation of the Paralysed, Savar, Bangladesh.
Lisa A HarveyJohn Walsh Centre for Rehabilitation Research, Sydney Medical School/Northern, University of Sydney, Sydney, NSW, Australia. l.harvey@usyd.edu.au.
Md Shofiqul IslamCentre for the Rehabilitation of the Paralysed, Savar, Bangladesh.
Md Akhlasur RahmanCentre for the Rehabilitation of the Paralysed, Savar, Bangladesh.
Joanne V GlinskyJohn Walsh Centre for Rehabilitation Research, Sydney Medical School/Northern, University of Sydney, Sydney, NSW, Australia.
Robert D HerbertNeuroscience Research Australia (NeuRA), Randwick, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designMixed retrospective and prospective cohort study.

objectivesTo determine 5-year survival after hospitalisation with spinal cord injury (SCI) in Bangladesh and to develop a prediction model to identify people at high risk of dying within 5 years.

settingBangladesh.

methodsMedical records were used to identify people with SCI admitted to a hospital in Bangladesh in 2011. Participants or their family members were contacted >5 years after discharge to determine vital status or date of death. Survival from time of discharge was estimated with Kaplan-Meier curves. A linear model of the log odds of death within 5 years of discharge was constructed and internally validated.

resultsOf the 345 people who were admitted and survived to discharge in 2011, 342 (99%) were accounted for 5 years later: 74 (22%) had died (survival = 78%; 95% CI 74-82%). Sixty nine of the 223 participants who were wheelchair-dependent at discharge had died (survival = 69%; 95% CI 62-75%). A parsimonious model predicted survival as a function of age and mode of mobility at discharge (wheelchair-dependent or ambulant). The odds of dying increased by a factor of 1.6 (95% CI, 1.3-2.0) with every decade of age and by a factor of 12.6 (95% CI, 4.8-32.9) if wheelchair-dependent. The model had good calibration and discrimination.

conclusionThe risk of dying after discharge from hospital with SCI in Bangladesh is high, especially among older, wheelchair-dependent people. A simple prediction model discriminates those at high risk of dying within 5 years.

Indexed as

AdultAge FactorsBangladeshCalibrationFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedModels, TheoreticalPatient DischargePrognosisProspective StudiesRetrospective StudiesRisk Assessment

Identifiers

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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.