Evidence map›Paper›PMID 36510193›Full record

ArticleBMC infectious diseases2022

Time-dependent risk of COVID-19 death with overwhelmed health-care capacity in Japan, 2020-2022.

Katsuma Hayashi, Hiroshi Nishiura

Abstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

2 authors.

Katsuma HayashiGraduate School of Medicine, Kyoto University, Yoshidakonoecho, Sakyo-ku, Kyoto, 606-8501, Japan.
Hiroshi NishiuraGraduate School of Medicine, Kyoto University, Yoshidakonoecho, Sakyo-ku, Kyoto, 606-8501, Japan. nishiura.hiroshi.5r@kyoto-u.ac.jp.

Funding

Environmental Restoration and Conservation Agency of Japan JPMEERF20S11804Japan Agency for Medical Research and Development JP20fk0108140Japan Agency for Medical Research and Development JP20fk0108535Japan Agency for Medical Research and Development JP21fk0108612Japan Society for the Promotion of Science 20K18953Japan Society for the Promotion of Science 21H03198Ministry of Health, Labour and Welfare 20CA2024Ministry of Health, Labour and Welfare 20HA2007Ministry of Health, Labour and Welfare 21HA2016Ministry of Health, Labour and Welfare 21HB1002Research Institute of Science and Technology for Society JPMJRS22B4Strategic International Collaborative Research Program JPMJSC20U3Strategic International Collaborative Research Program JPMJSC2105
6 · The paper itself

Abstract

backgroundIt has been descriptively argued that the case fatality risk (CFR) of coronavirus disease (COVID-19) is elevated when medical services are overwhelmed. The relationship between CFR and pressure on health-care services should thus be epidemiologically explored to account for potential epidemiological biases. The purpose of the present study was to estimate the age-dependent CFR in Tokyo and Osaka over time, investigating the impact of caseload demand on the risk of death.

methodsWe estimated the time-dependent CFR, accounting for time delay from diagnosis to death. To this end, we first determined the time distribution from diagnosis to death, allowing variations in the delay over time. We then assessed the age-dependent CFR in Tokyo and Osaka. In Osaka, the risk of intensive care unit (ICU) admission was also estimated.

resultsThe CFR was highest among individuals aged 80 years and older and during the first epidemic wave from February to June 2020, estimated as 25.4% (95% confidence interval [CI] 21.1 to 29.6) and 27.9% (95% CI 20.6 to 36.1) in Tokyo and Osaka, respectively. During the fourth wave of infection (caused by the Alpha variant) in Osaka the CFR among the 70s and ≥ 80s age groups was, respectively, 2.3 and 1.5 times greater than in Tokyo. Conversely, despite the surge in hospitalizations, the risk of ICU admission among those aged 80 and older in Osaka decreased. Such time-dependent variation in the CFR was not seen among younger patients < 70 years old. With the Omicron variant, the CFR among the 80s and older in Tokyo and Osaka was 3.2% (95% CI 3.0 to 3.5) and 2.9% (95% CI 2.7 to 3.1), respectively.

conclusionWe found that without substantial control, the CFR can increase when a surge in cases occurs with an identifiable elevation in risk-especially among older people. Because active treatment options including admission to ICU cannot be offered to the elderly with an overwhelmed medical service, the CFR value can potentially double compared with that in other areas of health care under less pressure.

Indexed as

COVID-19SARS-CoV-2AgedAged, 80 and overHospital Bed CapacityHumansIntensive Care UnitsAgeEpidemiologyLethalityMortalitySARS-CoV2Statistical estimation

Identifiers

PMID36510193
PMCPMC9744068

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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.