Evidence map›Paper›PMID 38869692›Full record

ReviewCurrent urology reports2024

Genomics in active surveillance and post-prostatectomy patients: A review of when and how to use effectively.

Adedayo Adetunji, Nikit Venishetty, Nita Gombakomba, Karl-Ray Jeune, Matthew Smith, Andrew Winer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

6 authors.

Adedayo AdetunjiDepartment of Urology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA. adedayo.adetunji@downstate.edu.
Nikit VenishettyPaul L. Foster School of Medicine, Texas Tech Health Sciences Center, El Paso, TX, USA.
Nita GombakombaDepartment of Urology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Karl-Ray JeuneDepartment of Urology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Matthew SmithDepartment of Urology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Andrew WinerDepartment of Urology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewProstate cancer (PCa) represents a significant health burden globally, ranking as the most diagnosed cancer among men and a leading cause of cancer-related mortality. Conventional treatment methods such as radiation therapy or radical prostatectomy have significant side effects which often impact quality of life. As our understanding of the natural history and progression of PCa has evolved, so has the evolution of management options. RECENT

findingsActive surveillance (AS) has become an increasingly favored approach to the management of very low, low, and properly selected favorable intermediate risk PCa. AS permits ongoing observation and postpones intervention until definitive treatment is required. There are, however, challenges with selecting patients for AS, which further emphasizes the need for more precise tools to better risk stratify patients and choose candidates more accurately. Tissue-based biomarkers, such as ProMark, Prolaris, GPS (formerly Oncotype DX), and Decipher, are valuable because they improve the accuracy of patient selection for AS and offer important information on the prognosis and severity of disease. By enabling patients to be categorized according to their risk profiles, these biomarkers help physicians and patients make better informed treatment choices and lower the possibility of overtreatment. Even with their potential, further standardization and validation of these biomarkers is required to guarantee their broad clinical utility. Active surveillance has emerged as a preferred strategy for managing low-risk prostate cancer, and tissue-based biomarkers play a crucial role in refining patient selection and risk stratification. Standardization and validation of these biomarkers are essential to ensure their widespread clinical use and optimize patient outcomes.

Indexed as

GenomicsProstatectomyProstatic NeoplasmsWatchful WaitingBiomarkers, TumorHumansMalePatient SelectionRisk AssessmentBiomarkers, TumorActive SurveillanceBiomarkersGenomic TestsProstate CancerRacial DisparitiesRadical Prostatectomy

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.