ReviewUrologic oncology2015
Measures of survival benefit in cancer drug development and their limitations.
Review in Urologic oncology, 2015. 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.
- Health-related quality of life in biliary tract cancer clinical trials. The current state and future directions.ESMO gastrointestinal oncology · 2026Article
- Article
- Challenges of Providing Access to Cutting-Edge Cancer Medicines in the Countries of Eastern Europe.Frontiers in public health · 2018Article
- Mitochondrial disorders in children: toward development of small-molecule treatment strategies.EMBO molecular medicine · 2016Review
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
Abstract
backgroundA variety of measures of survival benefit are available to an investigator comparing outcomes across the various arms of a drug development trial. In this article, we systematically review the most common measures of comparative survival used in published studies. MATERIALS: We distinguish between relative and absolute survival differences, and measures of instantaneous and cumulative risk. We consider settings in which the end point is overall survival as well as those in which disease-specific end points are of primary interest.
resultsWe note that different measures capture different aspects of benefit, and some may be more reliable than others or more representative of clinically relevant benefit.
conclusionsRather than simply using procedures that have become standard, analyses should identify the most clinically relevant measures of effect and apply procedures that reliably estimate these.
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.