Evidence map›Paper›PMID 24495287›Full record

Trial reportBMC medicine2014

Performance criteria for verbal autopsy-based systems to estimate national causes of death: development and application to the Indian Million Death Study.

Lukasz Aleksandrowicz, Varun Malhotra, Rajesh Dikshit, Prakash C Gupta, Rajesh Kumar, Jay Sheth, Suresh Kumar Rathi, Wilson Suraweera, Pierre Miasnikof, Raju Jotkar and 4 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
–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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Cohort Profile: Indian Study of Healthy Ageing (ISHA-Barshi).International journal of epidemiology · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Mortality Associated with AmbientEnvironmental health perspectives · 2022
    Article
  14. Article
  15. Trends in maternal mortality in India over two decades in nationally representative surveys.BJOG : an international journal of obstetrics and gynaecology · 2022
    Article
  16. Article
  17. TB case fatality and recurrence in a private sector cohort in Mumbai, India.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
    Article
  18. Article
  19. Article
  20. 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

14 authors.

Lukasz Aleksandrowicz
Varun Malhotra
Rajesh Dikshit
Prakash C Gupta
Rajesh Kumar
Jay Sheth
Suresh Kumar Rathi
Wilson Suraweera
Pierre Miasnikof
Raju Jotkar
Dhirendra Sinha
Shally Awasthi
Prakash Bhatia
Prabhat JhaCentre for Global Heath Research, St, Michael's Hospital, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada. Prabhat.jha@utoronto.ca.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundVerbal autopsy (VA) has been proposed to determine the cause of death (COD) distributions in settings where most deaths occur without medical attention or certification. We develop performance criteria for VA-based COD systems and apply these to the Registrar General of India's ongoing, nationally-representative Indian Million Death Study (MDS).

methodsPerformance criteria include a low ill-defined proportion of deaths before old age; reproducibility, including consistency of COD distributions with independent resampling; differences in COD distribution of hospital, home, urban or rural deaths; age-, sex- and time-specific plausibility of specific diseases; stability and repeatability of dual physician coding; and the ability of the mortality classification system to capture a wide range of conditions.

resultsThe introduction of the MDS in India reduced the proportion of ill-defined deaths before age 70 years from 13% to 4%. The cause-specific mortality fractions (CSMFs) at ages 5 to 69 years for independently resampled deaths and the MDS were very similar across 19 disease categories. By contrast, CSMFs at these ages differed between hospital and home deaths and between urban and rural deaths. Thus, reliance mostly on urban or hospital data can distort national estimates of CODs. Age-, sex- and time-specific patterns for various diseases were plausible. Initial physician agreement on COD occurred about two-thirds of the time. The MDS COD classification system was able to capture more eligible records than alternative classification systems. By these metrics, the Indian MDS performs well for deaths prior to age 70 years. The key implication for low- and middle-income countries where medical certification of death remains uncommon is to implement COD surveys that randomly sample all deaths, use simple but high-quality field work with built-in resampling, and use electronic rather than paper systems to expedite field work and coding.

conclusionsSimple criteria can evaluate the performance of VA-based COD systems. Despite the misclassification of VA, the MDS demonstrates that national surveys of CODs using VA are an order of magnitude better than the limited COD data previously available.

Indexed as

Cause of DeathAdolescentAdultAgedAutopsyChildChild, PreschoolData CollectionFemaleHumansIndiaMaleMiddle AgedProgram DevelopmentRegistriesReproducibility of Results

Identifiers

PMID24495287
PMCPMC3912490

What OpenQuestion holds

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LicenceCC BY
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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.