Evidence map›Paper›PMID 34546661›Full record

ArticleJournal of the International AIDS Society2021

Accounting for misclassified and unknown cause of death data in vital registration systems for estimating trends in HIV mortality.

Hmwe H Kyu, Deepa Jahagirdar, Matthew Cunningham, Magdalene Walters, Edmond Brewer, Amanda Novotney, Eve Wool, Ilse Dippennar, Fablina Sharara, Chieh Han and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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 at 2 institutions in 1 country.

Hmwe H KyuInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.ORCID 0000-0002-0449-5691
Deepa JahagirdarInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.ORCID 0000-0002-1267-8607
Matthew CunninghamInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Magdalene WaltersInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.ORCID 0000-0002-9607-6741
Edmond BrewerInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Amanda NovotneyInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.ORCID 0000-0002-3615-9713
Eve WoolInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Ilse DippennarInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.ORCID 0000-0002-2272-964X
Fablina ShararaInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Chieh HanInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Shelly BalassyanoInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Greg BertolacciInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Mohsen NaghaviInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.ORCID 0000-0002-6209-1513
Institute for Health Metrics and Evaluation · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMisclassification of HIV deaths can substantially diminish the usefulness of cause of death data for decision-making. In this study, we describe the methods developed by the Global Burden of Disease Study to account for the misclassified cause of death data from vital registration systems for estimating HIV mortality in 132 countries and territories.

methodsThe cause of death data were obtained from the World Health Organization Mortality Database and official country-specific mortality databases. We implemented two steps to adjust the raw cause of death data: (1) redistributing garbage codes to underlying causes of death, including HIV/AIDS by applying methods, such as analysis of multiple cause data and proportional redistribution, and (2) reassigning HIV deaths misclassified as other causes to HIV/AIDS by examining the age patterns of underlying causes in location and years with and without HIV epidemics.

resultsIn 132 countries, during the period from 1990 to 2018, 1,848,761 deaths were reported as caused by HIV/AIDS. After garbage code redistribution in these 132 countries, this number increased to 4,165,015 deaths. An additional 1,944,291 deaths were added through correction of HIV deaths misclassified as other causes in 44 countries. The proportion of HIV deaths derived from garbage code redistribution decreased over time, from 0.4 in 1990 to 0.1 in 2018. The proportion of deaths derived from HIV misclassification correction peaked at 0.4 in 2006 and declined afterwards to 0.08 in 2018. The greatest contributors to garbage code redistribution were "immunodeficiency antibody" (ICD 9: 279-279.1; ICD 10: D80-D80.9) and "immunodeficiency other" (ICD 9: 279, 279.5-279.9; ICD 10: D83-D84.9, D89, D89.8-D89.9), which together contributed 77% of all redistributed deaths at their peak in 1995. Respiratory tuberculosis (ICD 9: 010-012.9; ICD 10: A10-A14, A15-A16.9) contributed the greatest proportion of all HIV misclassified deaths (25-62% per year) over the most years.

conclusionsCorrecting for miscoding and misclassification of cause of death data can enhance the utility of the data for analyzing trends in HIV mortality and tracking progress toward the Sustainable Development Goal targets.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsTuberculosis, PulmonaryCause of DeathGlobal HealthHumansMortalitycause of deathgarbage codingHIV mortalitymisclassification

Identifiers

PMID34546661
PMCPMC8454675
OpenAlexW3200238649

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.