Evidence map›Paper›PMID 28344812›Full record

ArticleJournal of clinical urology2016

Novel concepts for risk stratification in prostate cancer.

Keval M Patel, Vincent J Gnanapragasam

Abstract read
In one paragraph

Article in Journal of clinical urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
    Article
  2. Prostate Cancer Survival by Risk and Other Prognostic Factors in Mallorca, Spain.International journal of environmental research and public health · 2021
    Article
  3. The use of hyperpolarisedBritish journal of cancer · 2021
    Review
  4. Article
  5. Prostate Cancer Cellular Uptake of Ternary Titanate Nanotubes/CuFeInternational journal of nanomedicine · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Keval M PatelCancer Research UK Cambridge Institute, University of Cambridge, UK; Academic Urology Group, University of Cambridge, UK.
Vincent J GnanapragasamAcademic Urology Group, University of Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since Partin introduced the analysis of prostate-specific antigen, clinical T-stage and Gleason scores to estimate the risk of progression in men with localised prostate cancer, our understanding of factors that modify this risk has changed drastically. There are now multiple risk stratification tools available, including look-up tables, risk stratification/classification analyses, regression-tree analyses, nomograms and artificial neural networks. Concurrently, descriptions of novel biopsy strategies, imaging modalities and biomarkers are frequently published with the aim of improving risk stratification. With an abundance of new information available, incorporating advances into clinical practice can be confusing. This article aims to outline the major novel concepts in prostate cancer risk stratification for men with biopsy confirmed prostate cancer. We will detail which of these novel techniques and tools are likely to be adopted to aid treatment decisions and enable more accurate post-diagnosis, pretreatment risk stratification.

Indexed as

pretreatmentprognostic factorsprostate cancerRisk stratification

Identifiers

PMID28344812
PMCPMC5356178

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.