Evidence map›Paper›PMID 37941702›Full record

ArticleJMA journal2023

Regional Variations in Coronavirus Disease 2019 Mortality in Japan: An Ecological Study.

Akihisa Nakamura, Kazuhiko Kotani, Shuji Hatakeyama, Senichi Obayashi, Ryozo Nagai

Open access · diamondAbstract read
In one paragraph

Article in JMA journal, 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
0.4field-weighted citation impact, top 41% 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, 2 citations in OpenAlex.

  1. Observational
  2. 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

5 authors at 1 institution in 1 country.

Akihisa NakamuraDivision of Community and Family Medicine, Center for Community Medicine, Jichi Medical University, Shimotsuke, Japan.
Kazuhiko KotaniDivision of Community and Family Medicine, Center for Community Medicine, Jichi Medical University, Shimotsuke, Japan.
Shuji HatakeyamaDivision of General Internal Medicine, Jichi Medical University Hospital, Shimotsuke, Japan.
Senichi ObayashiDivision of Community and Family Medicine, Center for Community Medicine, Jichi Medical University, Shimotsuke, Japan.
Ryozo NagaiJichi Medical University, Shimotsuke, Japan.
Jichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As the characteristics of coronavirus disease 2019 (COVID-19) vary across regions and countries, the relationship between regional characteristics, such as the distribution of physicians and hospital beds, and COVID-19 mortality was assessed in the 47 prefectures of Japan. Methods: This ecological study was based on the number of patients with COVID-19 by prefecture during the seventh wave of COVID-19 in Japan (June-October 2022). COVID-19 mortality was indexed as the number of COVID-19 deaths divided by the number of new COVID-19 cases. Data on regional factors, such as population size, number of physicians, and hospital beds by prefecture, were obtained from government statistics. Correlations between regional characteristics and COVID-19 mortality index were analyzed by dividing the 47 prefectures into two groups at the median level of population size (more populated group [MPG] ≥ 1.6 million and less populated group [LPG] < 1.6 million). Results: The COVID-19 mortality index (mean 12.7, minimum-maximum: 4.7-25.7) was correlated negatively with the number of physicians per hospital bed (r = -0.386, Conclusions: The data may suggest a need of improvement in the distribution of physicians and hospital beds in the healthcare system in regions with smaller and older populations to reduce the rate of COVID-19.

Indexed as

COVID-19 mortalityecological studyhospital bedsJapanphysiciansRegional characteristics

Identifiers

PMID37941702
PMCPMC10628200
OpenAlexW4387546921

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.