Evidence map›Paper›PMID 36119783›Full record

ReviewGlobal health & medicine2022

Evaluation of the representativeness of data in the COVID-19 Registry Japan during the first six waves of the epidemic.

Kayoko Hayakawa, Yusuke Asai, Nobuaki Matsunaga, Shinya Tsuzuki, Mari Terada, Setsuko Suzuki, Koji Kitajima, Sho Saito, Norio Ohmagari

Abstract readReview
In one paragraph

Review in Global health & medicine, 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.

  1. Article
  2. Article
  3. Comparison of the clinical characteristics and outcomes of Japanese patients with COVID-19 treated in primary, secondary, and tertiary care facilities.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2023
    Observational
  4. Article
  5. 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

9 authors.

Kayoko HayakawaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yusuke AsaiAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Nobuaki MatsunagaAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Shinya TsuzukiAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Mari TeradaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Setsuko SuzukiDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Koji KitajimaCenter for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Sho SaitoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 Registry Japan (COVIREGI-JP), a registry of patients hospitalized with coronavirus disease (COVID-19), contains the largest national COVID-19 inpatient population. Since COVIREGI-JP invites voluntary participation by facilities, selection bias is inevitable. The current study examined the representativeness of COVIREGI-JP data in comparison to open-source national data. The number of infections and deaths among hospitalized COVID-19 patients in COVIREGI-JP were compared to those in national data recorded during the six waves of the COVID-19 epidemic until March 6, 2022. During the period studied, patients in COVIREGI-JP represented 1% of the total COVID-19 cases according to national data; the proportion was high during the first wave (32.7%) and tended to decrease, especially after the fourth wave. The overall proportion of patients from each region varied from 0.8% to 2.5%, but case fatality rates in COVIREGI-JP tended to be higher than those in the national data, with the exception of a few waves, in several regions. The difference was smallest during the first wave. Although COVIREGI-JP consistently registered cases from all regions of the country, the proportion tended to decline after the beginning of the epidemic. Given the epidemiological persistence and the ever-changing epidemiology of COVID-19, continued case registration and data utilization in COVIREGI-JP is desirable, although selection bias in COVIREGI-JP registration of cases should be carefully interpreted.

Indexed as

COVIREGI-JPepidemiology of COVID-19pandemicselection bias

Identifiers

PMID36119783
PMCPMC9420330

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.