ArticleJournal of Korean medical science2019
Proceed with Caution When Using Real World Data and Real World Evidence.
Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses 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
53 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Attachment- and Relationship-Based Interventions during NICU Hospitalization for Families with Preterm/Low-Birth Weight Infants: A Systematic Review of RCT Data.International journal of environmental research and public health · 2022Pooled it
- An OMOP-CDM based pharmacovigilance data-processing pipeline (PDP) providing active surveillance for ADR signal detection from real-world data sources.BMC medical informatics and decision making · 2021Pooled it
- Estimating the impact of stimulant use on initiation of buprenorphine and extended-release naltrexone in two clinical trials and real-world populations.Addiction science & clinical practice · 2023Trial
- Review
- A Nationwide Study on Pretransfusion Testing for 10 Years in Korea Using Health Insurance Review and Assessment Claims Data.Journal of Korean medical science · 2026Article
- Brain morphological characteristics predicting clinical response to selective serotonin reuptake inhibitors or cholinesterase inhibitors: A study of electronic medical records in patients with cognitive disorders.International psychogeriatrics · 2025Observational
- Investigation of the Impact of Body Mass Index in the 20s on Chronic Metabolic Diseases and Their Progression Rate After the Age of 65 Years.Journal of Korean medical science · 2025Article
- Comprehensive approaches to diabetes in the elderly: adapting to evolving trends.The Korean journal of internal medicine · 2025Article
- Prevalence of Mortality and Vascular Complications in Older Patients with Diabetes in Korea.Endocrinology and metabolism (Seoul, Korea) · 2025Article
- Importance of Health Economics and Outcomes Research in the Product Lifecycle.Pharmaceutical medicine · 2025Review
- Perioperative Coronavirus Disease 2019 Infection and Its Impact on Postoperative Outcomes: Pulmonary Complications and Mortality Based on Korean National Health Insurance Data.Journal of personalized medicine · 2025Article
- Use of real-world evidence in the Medicare Drug Price Negotiation Program: A checklist for the Centers for Medicare and Medicaid Services and manufacturers.Health affairs scholar · 2025Article
- Evaluation of a telemedicine pilot project for hypertension in Korea: a nationwide real-world data study.Epidemiology and health · 2025Article
- Antibiotic Use and Survival in Patients With Late-Stage NSCLC Treated With Chemoimmunotherapy.JTO clinical and research reports · 2024Article
- Utilizing electronic medical records alert to improve documentation of neonatal acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2024Article
- Effects of statin use on serum creatinine phosphokinase levels in normal thyroid function.The Korean journal of internal medicine · 2024Article
- Dark Data in Real-World Evidence: Challenges, Implications, and the Imperative of Data Literacy in Medical Research.Journal of Korean medical science · 2024Review
- Biases in Electronic Health Records Data for Generating Real-World Evidence: An Overview.Journal of healthcare informatics research · 2024Article
- Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data.Journal of personalized medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical studies can be conducted to gather real world evidence (RWE) not available from randomized controlled trials, providing new information and knowledge. Although the concept of RWE emerged relatively recently, numerous clinical studies are utilizing it. However, many researchers are engaging in trial and error that may not overcome the various biases that occur in electronic medical record (EMR)-based RWE studies. While RWE can reflect the real world, there are still limitations to its acceptance. There are many hurdles in using RWE and solutions must be explored. Results based on RWE may be overestimated and it can be difficult to derive good quality results. This paper discusses data quality management, direct chart review, sample size, study design, and the interpretation of EMR-based RWE. More specifically, this paper shares the experience of the various hurdles that occur when conducting RWE studies and discusses the easy-to-false errors. RWE is still in the developmental stage and numerous aspects of RWE use remain unclear. Nonetheless, despite its many limitations, increasing use of RWE is still anticipated. This will require continued experience and effort in using RWE, as well as upgrading RWE research through the accumulation of information on such experiences and efforts.
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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.