ReviewJournal of clinical and translational science2023
A causal roadmap for generating high-quality real-world evidence.
Review in Journal of clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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
35 citing papers in PubMed, 60 citations in OpenAlex.
- Machine Learning in Causal Effect Estimation and Causal Evaluation of ML-Enabled Interventions in Nursing-Related Research: A Scoping Review.Nursing & health sciences · 2026Article
- Ten quick tips for causal analysis of biomedical omics data.PLoS computational biology · 2026Article
- Confidence regions for multiple outcomes, effect modifiers, and other multiple comparisons.American journal of epidemiology · 2026Article
- When the real world becomes the trial.Nature medicine · 2026Article
- Development and validation of a method to compare outcomes between switchers and continuers in routine clinical practice.Journal of comparative effectiveness research · 2026Article
- Evaluation of causal reasoning for large language models in contextualized clinical scenarios of laboratory test interpretation.NPJ digital medicine · 2026Article
- Tuning LASSO Models for Propensity Score Weighting and Using Synthetic Negative Control Exposures for Residual Bias Detection.Statistics in medicine · 2026Article
- Article
- Methodological and regulatory considerations for causal AI in drug development.NPJ digital medicine · 2026Review
- Article
- A surrogate endpoint-based provisional approval causal roadmap, illustrated by vaccine development.Biostatistics (Oxford, England) · 2025Article
- APPRAISE: A Tool for Appraising Potential for Bias in Real-World Evidence Studies on Medication Effectiveness or Safety.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2025Article
- Decoding the genomic symphony: unravelling brain disorders through data integration and machine learning.Molecular psychiatry · 2025Review
- Illustrating an Adaptive Prespecification Framework for Observational Research: Target Trial Emulations Comparing Immunomodulator Treatments for COVID-19.Epidemiology (Cambridge, Mass.) · 2025Article
- Glucose-Lowering Medication Classes and Cardiovascular Outcomes in Patients With Type 2 Diabetes.JAMA network open · 2025 · on this mapArticle
- Toward New Directions in Human Biology: A Roadmap for Anthropological Causal Inference With Observational Data.American journal of human biology : the official journal of the Human Biology Council · 2025Article
- Causal Inference via Electronic Health Records in the National Clinical Cohort Collaborative: Challenges and Solutions in Long COVID Research.medRxiv : the preprint server for health sciences · 2025Article
- On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching.Statistics in medicine · 2025Article
- From precision interventions to precision health.Nature communications · 2025Review
- Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos.Circulation research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors at 19 institutions in 3 countries.
Funding
Abstract
Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks from regulatory agencies, academia, professional societies, and industry. A broad spectrum of studies use real-world data (RWD) to produce RWE, ranging from randomized trials with outcomes assessed using RWD to fully observational studies. Yet, many proposals for generating RWE lack sufficient detail, and many analyses of RWD suffer from implausible assumptions, other methodological flaws, or inappropriate interpretations. The
Indexed as
Identifiers
What OpenQuestion holds
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.