ReviewDer Urologe. Ausg. A2018
[Studies on localized low-risk prostate cancer : Do we know enough?]
Review in Der Urologe. Ausg. A, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTreatment of localized low-risk prostate cancer (PCa) is undergoing a paradigm shift: Invasive treatments such as surgery and radiation therapy are being replaced by defensive strategies such as active surveillance (AS) and watchful waiting (WW).
objectiveThe aim of this work is to evaluate the significance of current studies regarding defensive strategies (AS and WW).
methodsThe best-known AS studies are critically evaluated for their significance in terms of input criteria, follow-up criteria, and statistical significance.
resultsThe difficulties faced by randomized studies in answering the question of the best treatment for low-risk cancer in two or even more study groups with known low tumor-specific mortality are clearly shown. Some studies fail because of the objective, others-like PIVOT-are underpowered. ProtecT, a renowned randomized, controlled trial (RCT), lists systematic and statistical shortcomings in detail.
conclusionThe time and effort required for RCTs to answer the question of which therapy is best for locally limited low-risk cancer is very large because the low specific mortality rate requires a large number of participants and a long study duration. In any case, RCTs create hand-picked cohorts for statistical evaluation that have little to do with care in daily clinical practice. The necessary randomization is also offset by the decision-making of the informed patient. If further studies of low-risk PCa are needed, they will need real-world conditions that an RCT can not provide. To obtain clinically relevant results, we need to rethink things: When planning the study, biometricians and clinicians must understand that the statistical methods used in RCTs are of limited use and they must select a method (e.g. propensity scores) appropriate for health care research.
Indexed as
Identifiers
29869682What 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.