ArticleJournal of orthopaedic case reports2025
Real-World Evidence: Methodologies for Integrating Real-World Data into Clinical Research Frameworks.
Article in Journal of orthopaedic case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Real World Data and Its Impact on the Management of Plasma Cell Dyscrasias.Current hematologic malignancy reports · 2026Review
- Global trends in surgical ethics research: a bibliometric analysis.Updates in surgery · 2026Article
- From clinical records to community care: using real-world evidence in Ayurveda.Frontiers in medicine · 2026Article
- Multimodal data integration in orthopedic regenerative medicine: bridging imaging, omics, and clinical data.Frontiers in cell and developmental biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real-world evidence (RWE), derived from real-world data (RWD), is transforming clinical research by complementing traditional randomized controlled trials. With diverse data sources such as electronic health records, patient registries, and wearable devices, RWE offers insights that reflect everyday clinical practice. Despite challenges like unstructured data, bias, and privacy concerns, advances in artificial intelligence, machine learning, and data standardization enable meaningful analysis. Regulatory frameworks, including India's Digital Personal Data Protection Act, reinforce ethical use of patient data. By refining methodologies and fostering collaboration, RWE provides valuable evidence for regulatory decisions, personalized medicine, and enhanced patient care outcomes.
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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.