Evidence map›Paper›PMID 40357838›Full record

ArticleTropical medicine & international health : TM & IH2025

Evaluating the performance of verbal autopsy for assigning cause of death in older adults: A population-based cohort study in Karonga, Malawi.

Milly Marston, Alexandria Chung, Albert Dube, Estelle McLean, Samuel Clark, Amelia Crampin, Clara Calvert

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Milly MarstonDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-8970-2081
Alexandria ChungBotswana Sexual Reproductive Health Initiative (BSRHI), Botswana Harvard Health Partnership, Princess Marina Hospital, Gaborone, Botswana.ORCID https://orcid.org/0000-0001-5221-5570
Albert DubeMalawi Epidemiology and Intervention Research Unit, Karonga, Malawi.ORCID https://orcid.org/0000-0002-6392-0475
Estelle McLeanDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-6079-0663
Samuel ClarkDepartment of Sociology, Institute for Population Research, and Translational Data Analytics Institute, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-4929-6231
Amelia CrampinDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-1513-4330
Clara CalvertUsher Institute, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0003-3272-1040

Funding

Verbal Autopsy: Reimagining Data & Automated Cause Assignment (using ALPHA Network data)R01HD086227 · NICHD · OHIO STATE UNIVERSITY · PI CLARK, SAMUEL J · 2016 to 2021
$2.4M
NICHD NIH HHS R01 HD086227
6 · The paper itself

Abstract

backgroundVerbal autopsy, where a close caregiver or relative of someone who recently died reports on the signs, symptoms and circumstances preceding death, is useful for producing population-based cause of death estimates. However, the performance of verbal autopsy for older adult deaths is poorly understood.

objectivesTo evaluate the performance of verbal autopsy in assigning cause of death for adults aged 50+ in a rural area of Malawi.

methodsCause of death was assigned to each death with a verbal autopsy in the Karonga Health and Demographic Surveillance site between 2002 and 2017 using two methods: (1) Physician review and (2) in silico verbal autopsy (a Bayesian probabilistic model). We calculated uncertainty in cause of death assignment for each method and calculated disagreement in cause of death between methods. Analyses were stratified by age group and sex.

resultsA total of 2378 adult deaths were included (1360 aged 50+). Cause of death assignment showed greater uncertainty at older ages in both methods. For example, 59.7% of men aged 80+ were assigned a specific cause of death using physician review, versus 77.5% of men aged 30-49. Population-level, broad cause of death distributions were similar across methods, but at the individual level there was over 30% disagreement on broad cause of death categories in those aged 50+.

conclusionsVerbal autopsy becomes more uncertain at assigning cause of death at older ages. The inclusion of any reports of medical diagnoses from a doctor and using a two-stage process of cause of death assignment (with simple cause of deaths assigned using algorithms and more complex cases being reviewed by physicians) could improve cause of death ascertainment using verbal autopsy at older ages.

Indexed as

AutopsyCause of DeathAdultAgedAged, 80 and overBayes TheoremCohort StudiesFemaleHumansMalawiMaleMiddle AgedRural Populationcause of deathEast AfricaInsilicoVAMalawimortalityverbal autopsy

Identifiers

PMID40357838
PMCPMC12213313

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.