ReviewPharmacoepidemiology and drug safety2023
Core concepts in pharmacoepidemiology: Validation of health outcomes of interest within real-world healthcare databases.
Review in Pharmacoepidemiology and drug safety, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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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
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Algorithms for Identifying Pediatric Neurodevelopmental Outcomes.Pharmacoepidemiology and drug safety · 2025Pooled it
- Enhancing Evidence Generation by Linking Randomized Clinical Trials to Real-World Data: The INVESTED-Medicare Linkage Study.Clinical pharmacology and therapeutics · 2026Article
- ICD-10-CM-Based Algorithms to Identify Bacteremia Incorporating Pathogen-Specific Codes: A Validation Study.Pharmacoepidemiology and drug safety · 2026Article
- Target Trial Emulation in Observational Research-Strengths, Limitations, and Methodological Considerations.Journal of periodontal research · 2026Article
- Core Concepts in Pharmacoepidemiology-Round 3: Call for Writing Groups.Pharmacoepidemiology and drug safety · 2026Article
- The Claims Data Learning & Enhancing for Algorithm Refinement (CLEAR) Study: Overview of the Study Design and Baseline Profile.Journal of epidemiology · 2026Article
- Identifying the Initiation of a New Line of Therapy for Metastatic Lung, Breast, and Colorectal Cancer in Real-World Data: A Scoping Review.Pharmacoepidemiology and drug safety · 2026Article
- Evaluation of Time-related Bias With Non-user Control.Journal of epidemiology · 2026Article
- Application of the Target Trial Emulation Framework to Studies in the Pediatric Population.The Journal of pediatrics · 2026Article
- Postmarketing safety surveillance for GSK's AS01BMJ open · 2026Article
- Development and Validation of a Large Language Model Case Identification Strategy for Eosinophilic Esophagitis.Gastro hep advances · 2026Article
- Pharmacoepidemiology unpacked: a roadmap for junior researchers.Frontiers in pharmacology · 2026Review
- Development and Validation of Case-Finding Algorithms to Identify Periprosthetic Joint Infections After Total Hip Arthroplasty in Veterans Health Administration Data.Pharmacoepidemiology and drug safety · 2026Article
- Harmonizing Case Validation for Vaccine Safety in Real-World Data: The VAC4EU Experience.Clinical epidemiology · 2026Article
- Development and validation of case-ascertainment algorithms for hypertensive disorders of pregnancy using longitudinal electronic health records data.Journal of clinical epidemiology · 2025Article
- Methods for identifying health status from routinely collected health data: An overview.Integrative medicine research · 2025Article
- Validation Study of Mild Traumatic Brain Injury Case-Identifying Algorithms in French Emergency Departments: High Performance in Children but Limited in Adults.Clinical epidemiology · 2025Article
- Assessing the Validity of Claims-Based Diagnostic Codes for Psychotic and Affective Disorders and the Influence of the Coding Transition from the ICD-9 to the ICD-10 in Taiwan's National Health Insurance Research Database.Clinical epidemiology · 2025Article
- Usefulness and caveats of real-world data for research on hypertension and its association with cardiovascular or renal disease in Japan.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Review
- Linking clinical trial participants to their U.S. real-world data through tokenization: A practical guide.Contemporary clinical trials communications · 2024Article
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Authors and funding
3 authors.
Funding
Abstract
Real-world healthcare data, including administrative and electronic medical record databases, provide a rich source of data for the conduct of pharmacoepidemiologic studies but carry the potential for misclassification of health outcomes of interest (HOIs). Validation studies are important ways to quantify the degree of error associated with case-identifying algorithms for HOIs and are crucial for interpreting study findings within real-world data. This review provides a rationale, framework, and step-by-step approach to validating case-identifying algorithms for HOIs within healthcare databases. Key steps in validating a case-identifying algorithm within a healthcare database include: (1) selecting the appropriate health outcome; (2) determining the reference standard against which to validate the algorithm; (3) developing the algorithm using diagnosis codes, diagnostic tests or their results, procedures, drug therapies, patient-reported symptoms or diagnoses, or some combinations of these parameters; (4) selection of patients and sample sizes for validation; (5) collecting data to confirm the HOI; (6) confirming the HOI; and (7) assessing the algorithm's performance. Additional strategies for algorithm refinement and methods to correct for bias due to misclassification of outcomes are discussed. The review concludes by discussing factors affecting the transportability of case-identifying algorithms and the need for ongoing validation as data elements within healthcare databases, such as diagnosis codes, change over time or new variables, such as patient-generated health data, are included in these data sources.
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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.