Evidence map›Paper›PMID 37433726›Full record

ArticleBMJ open2023

Excess deaths directly and indirectly attributable to COVID-19 using routinely reported mortality data, Bishkek, Kyrgyzstan, 2020: a cross-sectional study.

Yekaterina Bumburidi, Altynai Dzhalimbekova, Marina Malisheva, Ronald L Moolenaar, Roberta Horth, Daniel Singer, Dinagul Otorbaeva

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 3 countries.

Yekaterina BumburidiDivision of Global Health Protection, Central Asia Office, US Centers for Disease Control and Prevention, Almaty, Kazakhstan hnz6@cdc.gov.ORCID 0000-0002-0514-5108
Altynai DzhalimbekovaOffice of Prevention of Infectious, Parasitic Diseases and Epidemiological Surveillance, State Sanitary Surveillance and Disease Prevention Department, Bishkek, Kyrgyzstan.
Marina MalishevaOffice of Prevention of Infectious, Parasitic Diseases and Epidemiological Surveillance, State Sanitary Surveillance and Disease Prevention Department, Bishkek, Kyrgyzstan.
Ronald L MoolenaarDivision of Global Health Protection, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Roberta HorthDivision of Global Health Protection, Central Asia Office, US Centers for Disease Control and Prevention, Almaty, Kazakhstan.
Daniel SingerDivision of Global Health Protection, Central Asia Office, US Centers for Disease Control and Prevention, Almaty, Kazakhstan.
Dinagul OtorbaevaOffice of Prevention of Infectious, Parasitic Diseases and Epidemiological Surveillance, State Sanitary Surveillance and Disease Prevention Department, Bishkek, Kyrgyzstan.
Global Health Research Center of Central Asia · KZUniversity of Central Asia · KGCenters for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesStudies on excess deaths (ED) show that reported deaths from COVID-19 underestimate death. To understand mortality for improved pandemic preparedness, we estimated ED directly and indirectly attributable to COVID-19 and ED by age groups.

designCross-sectional study using routinely reported individual deaths data. SETTINGS: The 21 health facilities in Bishkek that register all city deaths.

participantsResidents of Bishkek who died in the city from 2015 to 2020. OUTCOME MEASURE: We report weekly and cumulative ED by age, sex and causes of death for 2020. EDs are the difference between observed and expected deaths. Expected deaths were calculated using the historical average and the upper bound of the 95% CI from 2015 to 2019. We calculated the percentage of deaths above expected using the upper bound of the 95% CI of expected deaths. COVID-19 deaths were laboratory confirmed (U07.1) or probable (U07.2 or unspecified pneumonia).

resultsOf 4660 deaths in 2020, we estimated 840-1042 ED (79-98 ED per 100 000 people). Deaths were 22% greater than expected. EDs were greater for men (28%) than for women (20%). EDs were observed in all age groups, with the highest ED (43%) among people 65-74 years of age. Hospital deaths were 45% higher than expected. During peak mortality (1 July -21 July), weekly ED was 267% above expected, and ED by disease-specific cause of death were above expected: 193% for ischaemic heart diseases, 52% for cerebrovascular diseases and 421% for lower respiratory diseases. COVID-19 was directly attributable to 69% of ED.

conclusionDeaths directly and indirectly associated with the COVID-19 pandemic were markedly higher than reported, especially for older populations, in hospital settings, and during peak weeks of SARS-CoV-2 transmission. These ED estimates can support efforts to prioritise support for persons at greatest risk of dying during surges.

Indexed as

COVID-19AgedCross-Sectional StudiesFemaleHumansKyrgyzstanMalePandemicsSARS-CoV-2COVID-19EpidemiologyPUBLIC HEALTH

Identifiers

PMID37433726
PMCPMC10347454
OpenAlexW4383896877

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.