Evidence map›Paper›PMID 36107390›Full record

ReviewDrugs - real world outcomes2022

A Review of Research Studies Using Data from the Administrative Claims Databases in Japan.

Jun Fujinaga, Toshio Fukuoka

Abstract readReview
In one paragraph

Review in Drugs - real world outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Review
  10. Article
  11. Adjuvant and post-recurrent treatment patterns in patients with resectable gastric cancer in japan: a retrospective database cohort study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Article
  12. Review
  13. Pharmacoepidemiology: An Overview.Journal of clinical medicine · 2023
    Review
  14. Review
  15. Article
  16. Review
  17. Review
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.

Jun FujinagaEmergency and Critical Care Center, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan. junf15june84@gmail.com.ORCID http://orcid.org/0000-0001-6222-7292
Toshio FukuokaEmergency and Critical Care Center, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan.ORCID http://orcid.org/0000-0003-2305-6771

Funding

Health, Labour, and Welfare Policy Research Grants 19IA2024
6 · The paper itself

Abstract

backgroundIn Japan, several research studies have used administrative claims databases. However, no study has compared the studies conducted in each database.

objectiveWe assessed the type, design, and research area of each research study using the administrative databases in Japan to illustrate the suitability of the database used for the types of research studies.

methodsWe reviewed studies from four administrative claims databases (the Japanese National Database of Health Insurance Claims and Specific Health Checkups [NDB]; the DPC Study Group database [DPC]; Japan Medical Data Center [JMDC]; and Medical Data Vision [MDV]). The PubMed database was searched from January 2015 to October 2020. We assessed the type, design, and research area of the abstract or full text of each research study.

resultsOverall, 643 studies were included. The number of studies increased from 59 in 2015 to 171 in 2020. Descriptive studies accounted for 62.7% (42 studies) of the studies from the NDB, while the treatment effectiveness studies accounted for 81.7% (211 studies) of the studies from the DPC database and were the most common in the JMDC and MDV. Cohort studies accounted for only 17.9% of the studies on NDB but 45.5% on DPC. The most common research area was medicine, general, and internal medicine (53 studies, 8.4%).

conclusionsThe type and design of the studies conducted differed in each database and were influenced by the characteristics of the database used. In the future, it may be necessary to integrate various real-world data databases to increase their comprehensiveness.

Identifiers

PMID36107390
PMCPMC9712845

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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.