ArticleJournal of pharmaceutical health care and sciences2015
Pharmacoepidemiology in Japan: medical databases and research achievements.
Article in Journal of pharmaceutical health care and sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Empagliflozin is associated with lower risk of cardiovascular events and all-cause mortality in routine care in East Asia: Results from the EMPRISE study.Journal of diabetes investigation · 2023Pooled it
- Article
- Acute normovolemic hemodilution and cardiac surgery-associated acute kidney injury: a retrospective cohort study.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2026Article
- Pharmacoepidemiology unpacked: a roadmap for junior researchers.Frontiers in pharmacology · 2026Review
- Quantifying Disease Severity in Health Technology Assessment in Japan: A Retrospective Analysis Using Quality-Adjusted Life-Year Shortfalls.Journal of health economics and outcomes research · 2025Article
- Drug utilization pattern of romosozumab and other osteoporosis treatments in Japan, 2019-2021.Journal of bone and mineral metabolism · 2024Article
- Optimum Timing of Tracheostomy After Cardiac Operation: Descriptive Claims Database Study.Annals of thoracic surgery short reports · 2024Article
- Appropriate dose of regorafenib based on body weight of colorectal cancer patients: a retrospective cohort study.BMC cancer · 2023Article
- Effectiveness of intraoperative nicorandil in patients with a history of ischemic heart disease undergoing high-risk noncardiac surgery: a retrospective cohort study.Journal of anesthesia · 2023Article
- Incidence of second primary cancers in oral and pharyngeal cancer patients using a large medical claims database in Japan.Journal of dental sciences · 2023Article
- Risk of pneumonitis in non-small cell lung cancer patients with preexisting interstitial lung diseases treated with immune checkpoint inhibitors: a nationwide retrospective cohort study.Cancer immunology, immunotherapy : CII · 2023Article
- A Review of Studies Using Japanese Nationwide Administrative Claims Databases.Annals of clinical epidemiology · 2023Review
- Impact of chronic potassium binder treatment on the clinical outcomes in patients with hyperkalemia: Results of a nationwide hospital-based cohort study.Frontiers in physiology · 2023Article
- Comparison of total intravenous with inhalational anesthesia in terms of postoperative delirium and complications in older patients: a nationwide population-based study.Journal of anesthesia · 2022Article
- Association between smoking habits and dental care utilization and cost using administrative claims database and specific medical check-up data.BMC oral health · 2022Article
- Reduction in cardiovascular disease events in patients with type 2 diabetes mellitus treated with a sodium-glucose cotransporter 2 inhibitor versus a dipeptidyl peptidase-4 inhibitor: A real-world retrospective administrative database analysis in Japan.Journal of diabetes investigation · 2022Article
- Context and Considerations for Use of Two Japanese Real-World Databases in Japan: Medical Data Vision and Japanese Medical Data Center.Drugs - real world outcomes · 2022Review
- Direct health care cost of treatment and medication of biliary atresia patients using the National Database of Health Insurance Claims and Specific Health Checkups.Pediatric surgery international · 2022Article
- Clinical Implication of the Relationship between Antimicrobial Resistance and Infection Control Activities in Japanese Hospitals: A Principal Component Analysis-Based Cluster Analysis.Antibiotics (Basel, Switzerland) · 2022Article
- Clinical epidemiology and pharmacoepidemiology studies with real-world databases.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pharmacoepidemiology involves development of new models to predict safety in the development stages of pharmaceutical products, development of various guidelines and policy related to clinical trials, pharmacovigilance, establishment and implementation of risk management in postmarketing studies, and cost-effectiveness research in medical and social welfare sectors. Evaluations of safety, efficacy, and costs of pharmaceutical products must be developed in a different way. More recently, "big data" in medicine have become the driving force behind epidemiological studies that attempt to solve questions in the clinical setting. Furthermore, it is important to pursue cost-effectiveness considering the government's financial condition. Epidemiologic and economic research utilizing epidemiological data linked to cost data will provide scientific evidence for appropriate distribution of health resources.
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Registered trials
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.