Evidence map›Paper›PMID 35958225›Full record

ArticleSSM - population health2022

Excess deaths from non-COVID-19-related causes in Japan and 47 prefectures from January 2020 through May 2021 by place of death.

Shuhei Nomura, Akifumi Eguchi, Cyrus Ghaznavi, Yuta Tanoue, Takayuki Kawashima, Daisuke Yoneoka, Lisa Yamasaki, Motoi Suzuki, Masahiro Hashizume

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 7 institutions in 1 country.

Shuhei NomuraDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
Akifumi EguchiDepartment of Sustainable Health Science, Center for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Cyrus GhaznaviDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
Yuta TanoueInstitute for Business and Finance, Waseda University, Tokyo, Japan.
Takayuki KawashimaDepartment of Mathematical and Computing Science, Tokyo Institute of Technology, Tokyo, Japan.
Daisuke YoneokaTokyo Foundation for Policy Research, Tokyo, Japan.
Lisa YamasakiDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Motoi SuzukiInfectious Disease Surveillance Center at the National Institute of Infectious Diseases, Tokyo, Japan.
Masahiro HashizumeDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Keio University · JPNational Institute of Infectious Diseases · JPChiba University · JPNagasaki University · JPThe University of Tokyo · JPTokyo Institute of Technology · JPWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excess deaths, including all-causes mortality, were confirmed for the first time in Japan in April 2021. However, little is known about the indirect effects of COVID-19 on the number of non-COVID-19-related deaths. We then estimated the excess deaths from non-COVID-19-related causes in Japan and its 47 prefectures from January 2020 through May 2021 by place of death. Vital statistical data on deaths were obtained from the Ministry of Health, Labour and Welfare. Using quasi-Poisson regression models, we estimated the expected weekly number of deaths due to all-causes excluding COVID-19 (non-COVID-19) and due to respiratory disease, circulatory disease, malignant neoplasms, and senility. Estimates were made separately for deaths in all locations, as well as for deaths in hospitals and clinics, in nursing homes and elderly care facilities, and at home. We defined a week with excess deaths as one in which the observed number of deaths exceeded the upper bound of the two-sided 95% prediction interval. Excess death was expressed as a range of differences between the observed and expected number of deaths and the 95% upper bound of the two-sided predictive interval. The excess percentage was calculated as the number of excess deaths divided by the expected number of deaths. At the national level, excess deaths from non-COVID-19-related all-causes were observed during April 19 to May 16, 2021. The largest excess percentage was 2.73-8.58% (excess deaths 689-2161) in the week of May 3-9. Similar trends were observed for all four cause categories. The cause-of-death categories which contributed to the excesses showed heterogeneity among prefectures. When stratified by place of death, excess mortality tended to be observed in nursing homes and elderly care facilities for all categories, in hospitals and clinics for circulatory disease, and at home for respiratory disease, malignant neoplasms, and senility. A caution is necessary that for the lastest three months (March-May 2021), adjusted data were used to account for possible reporting delays.

Indexed as

COVID-19Excess deathsJapanNon-COVID-19-related deathsPlace of death

Identifiers

PMID35958225
PMCPMC9356762
OpenAlexW4290991758

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.