Evidence map›Paper›PMID 39261703›Full record

ReviewHypertension research : official journal of the Japanese Society of Hypertension2024

Usefulness and caveats of real-world data for research on hypertension and its association with cardiovascular or renal disease in Japan.

Michihiro Satoh, Shingo Nakayama, Maya Toyama, Hideaki Hashimoto, Takahisa Murakami, Hirohito Metoki

Abstract readReview
In one paragraph

Review in Hypertension research : official journal of the Japanese Society of Hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Seasonal variation in day-to-day blood pressure variability: large-scale within-individual home blood pressure data.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Blood pressure status, JSH 2019-based control rate, and associated factors among community-dwelling adults: The NOSE study.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Current hypertension epidemiology and contemporary approaches using the "Real-World Evidence Cycle" framework.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Review
  11. Article
  12. Regional disparities in blood pressure control after hypertension treatment initiation in Japan: a real-world data analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Understanding clinical inertia in hypertension management: clues from real-world data.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  17. Article
  18. Delayed treatment initiation as one of the crucial factors in clinical inertia: lessons from a real-world database research.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    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

6 authors.

Michihiro SatohDivision of Public Health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan. satoh.mchr@tohoku-mpu.ac.jp.
Shingo NakayamaDivision of Public Health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
Maya ToyamaDivision of Public Health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
Hideaki HashimotoDivision of Public Health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
Takahisa MurakamiDivision of Public Health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
Hirohito MetokiDivision of Public Health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of real-world data, collected from clinical practice rather than clinical trials, has become increasingly important for investigating real-life situations, such as treatment effects. In Japan, evidence on hypertension, cardiovascular diseases, and kidney diseases using real-world data is increasing. These studies are mainly based on "the insurer-based real-world data" collected as electronic records, including data from health check-ups and medical claims such as JMDC database, DeSC database, the Japan Health Insurance Association (JHIA) database, or National Databases of Health Insurance Claims and Specific Health Checkups (NDB). Based on the insurer-based real-world data, traditional but finely stratified associations between hypertension and cardiovascular or kidney diseases can be explored. The insurer-based real-world data are also useful for pharmacoepidemiological studies that capture the distribution and trends of drug prescriptions; combined with annual health check-up data, the effectiveness of drugs can also be examined. Despite the usefulness of insurer-based real-world data collected as electronic records from a wide range of populations, we must be cautious about several points, including issues regarding population uncertainty, the validity of cardiovascular outcomes, the accuracy of blood pressure, traceability, and biases, such as indication and immortal biases. While a large sample size is considered a strength of real-world data, we must keep in mind that it does not overcome the problem of systematic error. This review discusses the usefulness and pitfalls of insurer-based real-world data in Japan through recent examples of Japanese research on hypertension and its association with cardiovascular or kidney disease.

Indexed as

Cardiovascular DiseasesHypertensionKidney DiseasesDatabases, FactualHumansJapanBlood pressureCardiovascular diseasesCitizen scienceHypertensionKidney diseases

Identifiers

PMID39261703
PMCPMC11534704

What OpenQuestion holds

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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.