Evidence map›Paper›PMID 37787097›Full record

Trial reportCancer medicine2023

Impact of genomic testing on urologists' treatment preference in favorable risk prostate cancer: A randomized trial.

Samuel Carbunaru, Zequn Sun, Cordero McCall, Bernice Ofori, Norma Marshall, Heidy Wang, Michael Abern, Li Liu, Courtney M P Hollowell, Roohollah Sharifi and 11 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. 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

21 authors at 7 institutions in 1 country.

Samuel CarbunaruDepartment of Urology, New York University Langone School of Medicine, New York, New York, USA.
Zequn SunDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois, USA.
Cordero McCallMedical College of Wisconsin Medical School, Milwaukee, Wisconsin, USA.
Bernice OforiDepartment of Urology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0001-9977-3473
Norma MarshallDepartment of Urology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Heidy WangDivision of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, Illinois, USA.
Michael AbernDivision of Urology, Duke University, Durham, North Carolina, USA.
Li LiuDivision of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, Illinois, USA.
Courtney M P HollowellDivision of Urology, Cook County Health, Chicago, Illinois, USA.
Roohollah SharifiDivision of Urology, Jesse Brown VA Medical Center, Chicago, Illinois, USA.
Patricia VidalDivision of Urology, Cook County Health, Chicago, Illinois, USA.
Andre Kajdacsy-BallaDepartment of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA.
Marin SekosanDepartment of Pathology, Cook County Health and Hospital System, Chicago, Illinois, USA.
Karen FerrerDepartment of Pathology, Cook County Health and Hospital System, Chicago, Illinois, USA.
Shoujin WuPathology and Laboratory Services, Jesse Brown VA Medical Center, Chicago, Illinois, USA.
Marlene GallegosPathology and Laboratory Services, Jesse Brown VA Medical Center, Chicago, Illinois, USA.
Peter H GannDepartment of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA.
Daniel MoreiraDepartment of Urology, University of Illinois at Chicago, Chicago, Illinois, USA.
Lisa K SharpInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, Illinois, USA.
Carol E FerransDepartment of Biobehavioral Nursing Science, University of Illinois at Chicago, Chicago, Illinois, USA.
Adam B MurphyDepartment of Urology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
University of Illinois Chicago · USCook County Health and Hospitals System · USNorthwestern University · USJesse Brown VA Medical Center · USDuke University · USMedical College of Wisconsin · USNYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Oncotype Dx Genomic Prostate Score (GPS) is a 17-gene relative expression assay that predicts adverse pathology at prostatectomy. We conducted a novel randomized controlled trial to assess the impact of GPS on urologist's treatment preference for favorable risk prostate cancer (PCa): active surveillance versus active treatment (i.e., prostatectomy/radiation). This is a secondary endpoint from the ENACT trial which recruited from three Chicago hospitals from 2016 to 2019.

methodsTen urologists along with men with very low to favorable-intermediate risk PCa were included in the study. Participants were randomly assigned to standardized counseling with or without GPS assay. The main outcome was urologists' preference for active treatment at Visit 2 by study arm (GPS versus Control). Multivariable best-fit binary logistic regressions were constructed to identify factors independently associated with urologists' treatment preference.

resultsTwo hundred men (70% Black) were randomly assigned to either the Control (96) or GPS arm (104). At Visit 2, urologists' preference for prostatectomy/radiation almost doubled in the GPS arm to 29.3% (29) compared to 14.1% (13) in the Control arm (p = 0.01). Randomization to the GPS arm, intermediate NCCN risk level, and lower patient health literacy were predictors for urologists' preference for active treatment. DISCUSSION: Limitations included sample size and number of urologists. In this study, we found that GPS testing reduced urologists' likelihood to prefer active surveillance.

conclusionsThese findings demonstrate how obtaining prognostic biomarkers that predict negative outcomes before treatment decision-making might influence urologists' preference for recommending aggressive therapy in men eligible for active surveillance.

Indexed as

Prostatic NeoplasmsUrologistsGenetic TestingHumansMaleProstatectomyactive surveillancegenomicsprostate cancertreatment decision

Identifiers

PMID37787097
PMCPMC10587942
OpenAlexW4387296966

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.