Evidence map›Paper›PMID 42688831›Full record

ArticleAcute medicine & surgery

Profile and Data Quality of DataVerse Japan: A Multi-Institutional Clinical Data Platform for Emergency and Critical Care Research.

Takeshi Ebihara, Shunichiro Nakao, Ryota Nukiwa, Hiroshi Matsuura, Koichi Inukai, Kazuhiro Yoneda, Shigeto Seno, Jun Oda

Abstract read
In one paragraph

Article in Acute medicine & surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Takeshi EbiharaDepartment of Traumatology and Acute Critical Medicine, Graduate School of Medicine The University of Osaka Suita, Osaka Japan.ORCID https://orcid.org/0000-0003-4101-0419
Shunichiro NakaoDepartment of Traumatology and Acute Critical Medicine, Graduate School of Medicine The University of Osaka Suita, Osaka Japan.ORCID https://orcid.org/0000-0001-5530-806X
Ryota NukiwaDepartment of Emergency and Critical Care Medicine Hachinohe City Hospital Hachinohe Japan.
Hiroshi MatsuuraEmergency and Critical Care Center, Osaka Prefectural Nakakawachi Emergency and Critical Care Center Higashi-Osaka, Osaka Japan.ORCID https://orcid.org/0000-0002-8618-0385
Koichi InukaiDepartment of Trauma and Critical Care Medicine Sakai City Medical Center Sakai, Osaka Japan.ORCID https://orcid.org/0000-0003-0881-698X
Kazuhiro YonedaDepartment of Traumatology and Acute Critical Medicine, Graduate School of Medicine The University of Osaka Suita, Osaka Japan.
Shigeto SenoDepartment of Bioinformatic Engineering, Graduate School of Information Science and Technology The University of Osaka Suita, Osaka Japan.ORCID https://orcid.org/0000-0003-3861-6444
Jun OdaDepartment of Traumatology and Acute Critical Medicine, Graduate School of Medicine The University of Osaka Suita, Osaka Japan.ORCID https://orcid.org/0000-0002-8254-3716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: DataVerse Japan is a multi-institutional clinical data platform that retains all exportable clinical information from each participating center's information systems and generates analysis-ready datasets for each research question. This study aimed to describe its design, participating centers, data composition, and patient profile, and to characterize its data quality. Methods: The platform captures clinical information from each center's information systems, currently the electronic health record (EHR), which incorporates patient data management system (PDMS) data and claims data; reshapes the records into a common five-column long-format (Code, Day, Time, Variable, Value); and stores them as relationally linked. rds objects. We summarized admissions to the participating centers between January 2016 and December 2025. Results: Four emergency and critical care centers contributed 41,173 admissions from 38,287 individuals and 644,838 patient-days. The platform contains approximately 45 million vital sign records, 30 million laboratory records, and 32 million claims records. Median patient age was 70 years (IQR 49-81), and in-hospital mortality was 16.3%. Admission-level presence coverage, defined as the proportion of admissions with at least one record in a category, varied substantially by category, center, and year and improved after EHR and PDMS upgrades. Conclusion: DataVerse Japan provides a continuously updated multi-institutional clinical data platform that expands its participating centers over time. The coverage and validation metrics reported here allow investigators to judge whether the platform is suitable for a specific research question in emergency and critical care medicine in Japan.

Indexed as

comprehensive clinical datadata harmonizationelectronic health recordsemergency and critical care medicinemulticenter database

Identifiers

PMID42688831
PMCPMC13535333

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.