ArticleOncology and therapy2025
A Practical Approach to Understanding Real-World Study Methodology in Cancer Research: A Vodcast.
Article in Oncology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Real-World Studies and Randomized Controlled Trials: A Podcast Discussion of the Relative Strengths and Limitations of These Complementary Designs for Cancer Research.Oncology and therapy · 2025Article
- Non-believer to Believer: A Podcast Conversation on the Journey from Skeptic to Proponent of Oncology Real-World Evidence.Oncology and therapy · 2025Article
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
Real-world studies have become more common in clinical literature in recent years, but many clinicians remain unfamiliar with real-world study design and statistical approaches. This vodcast intends to be a practical guide for clinicians by clarifying aspects of real-world study methodology. As both practicing oncologists and researchers with extensive real-world data experience, the hosts discuss types of study designs and real-world data source considerations. An overview of statistical techniques for mitigating treatment-selection bias is also provided, including propensity score matching, inverse probability of treatment weighting, and multivariable analysis. By combining high-quality data sources, careful sample size considerations, and rigorous statistical techniques, real-world studies can offer valuable insights into therapeutic effectiveness in routine clinical practice that supplement learnings from randomized clinical trials. This vodcast is designed to equip clinicians with the knowledge to critically evaluate real-world evidence and potentially apply it to their practice.Vodcast and infographic available for this article. Vodcast (MP4 1207725 KB) INFOGRAPHIC.
Indexed as
Identifiers
What Socratic 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 Socratic graph.