Evidence map›Paper›PMID 38167281›Full record

ArticleBMJ open2024

Excess mortality during the COVID-19 pandemic in low-income and lower middle-income countries: protocol for a systematic review and meta-analysis.

Jonathan Mawutor Gmanyami, Andrzej Jarynowski, Vitaly Belik, Oscar Lambert, John Amuasi, Wilm Quentin

Abstract read
In one paragraph

Article in BMJ open, 2024. 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

6 authors.

Jonathan Mawutor GmanyamiSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana jgmanyami@gmail.com.ORCID 0000-0002-3046-1508
Andrzej JarynowskiDepartment of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Vitaly BelikDepartment of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Oscar LambertSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
John AmuasiSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Wilm QuentinDepartment of Health Care Management, Technical University of Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has been marked by a massive death toll. However, the overall effect of the pandemic, including potential unintended negative impacts of some control measures, on mortality remains poorly understood in low-income and lower middle-income countries (LLMICs). This review aims to summarise the available literature on excess mortality in LLMICs, focusing on the methods and data sources used in estimating excess mortality and the drivers of excess mortality. METHODS AND ANALYSIS: We will review the available literature and report results in line with the Preferred Reporting Items for Systematic Review and Meta-Analysis. Searches will be conducted in PubMed, Embase, Web of Science, Cochrane Library, Google Scholar and Scopus. All published studies that report on the estimates of excess mortality in populations of LLMICs will be included. This will include those with a publication date from 2019 onwards and those with at least a 1-year non-COVID-19 period as the comparator in the estimation of excess mortality during the pandemic. There will be no language restrictions on the search. The meta-analysis will include studies with extractable data on excess mortality, methods, population size, and observed and expected deaths. We will use the Mantel-Haenszel method to estimate the pooled risk ratio with 95% CIs. ETHICS AND DISSEMINATION: As there is no primary data collection, there is no requirement for ethical review. The results will be disseminated through peer-reviewed journal publication and conference presentations. PROSPERO REGISTRATION NUMBER: CRD42022378267.

Indexed as

COVID-19Developing CountriesHumansMeta-Analysis as TopicPandemicsResearch DesignReview Literature as TopicSARS-CoV-2Systematic Reviews as TopicCOVID-19public healthSARS-CoV-2 infection

Identifiers

PMID38167281
PMCPMC10773359

What OpenQuestion holds

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LicenceCC BY-NC
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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.