Evidence map›Paper›PMID 42232218›Full record

ArticleInternational journal of public health2026

Multiple cause of death during the COVID-19 pandemic: a population study In Colombia and Brazil.

Doris Durán, Mabel Carabali, Usama Bilal, Belinda Nicolau, Jay S Kaufman

Abstract read
In one paragraph

Article in International journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Doris DuránDepartment of Epidemiology Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
Mabel CarabaliDepartment of Epidemiology Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
Usama BilalDepartment of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, PA, United States.
Belinda NicolauDepartment of Epidemiology Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
Jay S KaufmanDepartment of Epidemiology Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess differences in age-standardized disease-specific mortality rates derived from the underlying cause of death (UCOD) versus multiple cause of death (MCOD) data in two Latin American countries during the COVID-19 pandemic. Methods: Using all death certificates for residents of Brazil (n = 6,207,785) and Colombia (n = 1,180,880) from 2019 through 2022, we extracted UCOD and all contributing causes, assigned weights (50% to UCOD, remainder equally among contributing causes), and calculated annual age- and sex-standardized mortality rates for neoplasms, circulatory diseases, diabetes mellitus (DM), and non-COVID communicable diseases. We then computed rate differences and rate ratios contrasting MCOD with UCOD estimates. Results: MCOD-DM mortality exceeded UCOD by up to 70%. In Colombia, MCOD-CVD surpassed UCOD during 2020-2021, corresponding to approximately 1,950 extra male and 1,560 extra female CVD deaths in 2021. Discrepancies for neoplasms and other communicable diseases were smaller and stable. Conclusion: These findings demonstrate that MCOD methods reveal substantial underestimation of diabetes- and cardiovascular-related mortality, underscoring the value of MCOD surveillance for public health planning.

Indexed as

COVID-19AdolescentAdultAgedBrazilCardiovascular DiseasesCause of DeathColombiaDeath CertificatesDiabetes MellitusFemaleHumansInfantMaleMiddle AgedSARS-CoV-2chronic diseasesCOVID-19death certificatesepidemiologyLatin Americamortality

Identifiers

PMID42232218
PMCPMC13222857

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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.