ArticleEuropean urology focus2023
Moving Precision Oncology for Advanced Prostate Cancer from Theory to Practice.
Article in European urology focus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 2 citations in OpenAlex.
- Development and validation of a deep learning-based microsatellite instability predictor from prostate cancer whole-slide images.NPJ precision oncology · 2024Article
Corrections and comments
- Commented on by
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Genomic profiling represents the first clinical practice-ready tool for precision oncology in metastatic prostate cancer. Here we outline current testing considerations and gray zones regarding how best to apply genomic testing in the clinic. The lessons we learn today will continue to shape how we integrate evolving biology and future technologies into practice.
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.