Evidence map›Paper›PMID 33622468›Full record

ArticleEmerging infectious diseases2021

Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January-May 2020

Takayuki Kawashima, Shuhei Nomura, Yuta Tanoue, Daisuke Yoneoka, Akifumi Eguchi, Chris Fook Sheng Ng, Kentaro Matsuura, Shoi Shi, Koji Makiyama, Shinya Uryu and 12 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Estimating the infection burden of COVID-19 in Malaysia.PLoS neglected tropical diseases · 2022
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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

22 authors.

Takayuki Kawashima
Shuhei Nomura
Yuta Tanoue
Daisuke Yoneoka
Akifumi Eguchi
Chris Fook Sheng Ng
Kentaro Matsuura
Shoi Shi
Koji Makiyama
Shinya Uryu
Yumi Kawamura
Shinichi Takayanagi
Stuart Gilmour
Hiroaki Miyata
Tomimasa Sunagawa
Takuri Takahashi
Yuuki Tsuchihashi
Yusuke Kobayashi
Yuzo Arima
Kazuhiko Kanou
Motoi Suzuki
Masahiro Hashizume

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To provide insight into the mortality burden of coronavirus disease (COVID-19) in Japan, we estimated the excess all-cause deaths for each week during the pandemic, January-May 2020, by prefecture and age group. We applied quasi-Poisson regression models to vital statistics data. Excess deaths were expressed as the range of differences between the observed and expected number of all-cause deaths and the 95% upper bound of the 1-sided prediction interval. A total of 208-4,322 all-cause excess deaths at the national level indicated a 0.03%-0.72% excess in the observed number of deaths. Prefecture and age structure consistency between the reported COVID-19 deaths and our estimates was weak, suggesting the need to use cause-specific analyses to distinguish between direct and indirect consequences of COVID-19.

Indexed as

Cause of DeathCOVID-19HumansJapanMortalitySARS-CoV-2all-cause deathscoronavirus diseaseCOVID-19excess deathsJapanrespiratory infectionsSARS-CoV-2severe acute respiratory syndrome coronavirus 2viruseszoonoses

Identifiers

PMID33622468
PMCPMC7920666

What OpenQuestion holds

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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.