Evidence map›Paper›PMID 34398896›Full record

ArticlePloS one2021

Burden of disease among the world's poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates.

Matthew M Coates, Majid Ezzati, Gisela Robles Aguilar, Gene F Kwan, Daniel Vigo, Ana O Mocumbi, Anne E Becker, Julie Makani, Adnan A Hyder, Yogesh Jain and 4 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines 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.

Matthew M CoatesProgram in Global Noncommunicable Diseases and Social Change, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-8474-4992
Majid EzzatiMRC-PHE Centre for Environment and Health, Imperial College London, London, United Kingdom.
Gisela Robles AguilarOxford GBD Group, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5472-8748
Gene F KwanProgram in Global Noncommunicable Diseases and Social Change, Harvard Medical School, Boston, Massachusetts, United States of America.
Daniel VigoDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
Ana O MocumbiInstituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique.
Anne E BeckerDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
Julie MakaniSickle Cell Programme, Muhimbili University of Health & Allied Sciences, Dar-es-Salaam, Tanzania.
Adnan A HyderGeorge Washington University Milken Institute School of Public Health, Washington, DC, United States of America.
Yogesh JainJan Swasthya Sahyog, Bilaspur, Chhattisgarh, India.
D Cristina StefanAfrican Medical Research and Innovation Institute, Cape Town, South Africa.
Neil GuptaProgram in Global Noncommunicable Diseases and Social Change, Harvard Medical School, Boston, Massachusetts, United States of America.
Andrew MarxProgram in Global Noncommunicable Diseases and Social Change, Harvard Medical School, Boston, Massachusetts, United States of America.
Gene BukhmanProgram in Global Noncommunicable Diseases and Social Change, Harvard Medical School, Boston, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe health of populations living in extreme poverty has been a long-standing focus of global development efforts, and continues to be a priority during the Sustainable Development Goal era. However, there has not been a systematic attempt to quantify the magnitude and causes of the burden in this specific population for almost two decades. We estimated disease rates by cause for the world's poorest billion and compared these rates to those in high-income populations.

methodsWe defined the population in extreme poverty using a multidimensional poverty index. We used national-level disease burden estimates from the 2017 Global Burden of Disease Study and adjusted these to account for within-country variation in rates. To adjust for within-country variation, we looked to the relationship between rates of extreme poverty and disease rates across countries. In our main modeling approach, we used these relationships when there was consistency with expert opinion from a survey we conducted of disease experts regarding the associations between household poverty and the incidence and fatality of conditions. Otherwise, no within-country variation was assumed. We compared results across multiple approaches for estimating the burden in the poorest billion, including aggregating national-level burden from the countries with the highest poverty rates. We examined the composition of the estimated disease burden among the poorest billion and made comparisons with estimates for high-income countries.

resultsThe composition of disease burden among the poorest billion, as measured by disability-adjusted life years (DALYs), was 65% communicable, maternal, neonatal, and nutritional (CMNN) diseases, 29% non-communicable diseases (NCDs), and 6% injuries. Age-standardized DALY rates from NCDs were 44% higher in the poorest billion (23,583 DALYs per 100,000) compared to high-income regions (16,344 DALYs per 100,000). Age-standardized DALY rates were 2,147% higher for CMNN conditions (32,334 DALYs per 100,000) and 86% higher for injuries (4,182 DALYs per 100,000) in the poorest billion, compared to high-income regions.

conclusionThe disease burden among the poorest people globally compared to that in high income countries is highly influenced by demographics as well as large disparities in burden from many conditions. The comparisons show that the largest disparities remain in communicable, maternal, neonatal, and nutritional diseases, though NCDs and injuries are an important part of the "unfinished agenda" of poor health among those living in extreme poverty.

Indexed as

Cost of IllnessNoncommunicable DiseasesNutrition DisordersSocioeconomic FactorsFemaleGlobal Burden of DiseaseHumansMalePoverty

Identifiers

PMID34398896
PMCPMC8366975

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.