Evidence map›Paper›PMID 38504944›Full record

ArticleAnnals of clinical epidemiology2022

Japanese Multicenter Research of COVID-19 by Assembling Real-world Data: A Study Protocol.

Takashi Tagami, Kazuma Yamakawa, Akira Endo, Mineji Hayakawa, Takayuki Ogura, Atsushi Hirayama, Hideo Yasunaga

Abstract read
In one paragraph

Article in Annals of clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

7 authors.

Takashi TagamiDepartment of Emergency and Critical Care Medicine, Nippon Medical School Musashikosugi Hospital.
Kazuma YamakawaDepartment of Emergency Medicine, Osaka Medical and Pharmaceutical University.
Akira EndoTrauma and Acute Critical Care Center, Tokyo Medical and Dental University Hospital.
Mineji HayakawaDepartment of Emergency Medicine, Hokkaido University Hospital.
Takayuki OguraDepartment of Emergency Medicine and Critical Care Medicine, Tochigi Prefectural Emergency and Critical Care Centre, Imperial Foundation Saiseikai Utsunomiya Hospital.
Atsushi HirayamaPublic Health, Department of Social Medicine, Graduate School of Medicine, Osaka University.
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on the evaluation of the clinical course of coronavirus disease 2019 (COVID-19) and the efficacy of treatments after hospitalization in Japan are limited.

objectiveThis study aimed to construct a database of confirmed COVID-19 cases in Japan and promptly address unresolved research issues.

methodsThis multicenter observational study included patients who had a laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and were discharged from each participating institution between January 1 and September 31, 2020. We called for participating facilities and research proposals until the end of September 2020. The research steering committee members provided advice to co-investigators on refining their research proposals and analyses. After developing the research proposal, we collected clinical information, facility information, and laboratory data from each participating institution. Clinical information was also obtained from the Diagnosis Procedure Combination (DPC) data using a dedicated software called DPC hash application. ANALYSIS: We planned to conduct an analysis based on the research proposal. Overall, 66 institutions from Japan announced their participation, and 102 research proposals were selected for the analyses. Research areas from the proposals included epidemiology, pathophysiology, therapeutic agents, ventilator settings, cost-benefit analyses, and prognosis prediction for COVID-19. CONTRIBUTION AND SIGNIFICANCE TO THE FIELD: We have established an efficient data collection system and clinical research team for COVID-19 infection studies. The results of this study may be utilized in future response strategies for COVID-19.

Indexed as

COVID-19databaseDiagnosis Procedure Combinationstudy protocol

Identifiers

PMID38504944
PMCPMC10760490

What OpenQuestion holds

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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.