Evidence map›Paper›PMID 31662795›Full record

ArticleTherapeutic advances in urology

Incorporating mpMRI biopsy data into established pre-RP nomograms: potential impact of an increasingly common clinical scenario.

Joon Yau Leong, Jaime O Herrera-Caceres, Hanan Goldberg, Elwin Tham, Seth Teplitsky, Leonard G Gomella, Neil E Fleshner, Costas D Lallas, Edouard J Trabulsi, Thenappan Chandrasekar

Abstract read
In one paragraph

Article in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Joon Yau LeongDepartment of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia PA, USA.ORCID https://orcid.org/0000-0002-1698-8442
Jaime O Herrera-CaceresDivision of Urology, Department of Surgical Oncology, University of Toronto and University Health Network, Toronto, Canada.
Hanan GoldbergDivision of Urology, Department of Surgical Oncology, University of Toronto and University Health Network, Toronto, Canada.
Elwin ThamDepartment of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia PA, USA.
Seth TeplitskyDepartment of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia PA, USA.
Leonard G GomellaDepartment of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia PA, USA.
Neil E FleshnerDivision of Urology, Department of Surgical Oncology, University of Toronto and University Health Network, Toronto, Canada.
Costas D LallasDepartment of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia PA, USA.
Edouard J TrabulsiDepartment of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia PA, USA.
Thenappan ChandrasekarDepartment of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, 1025 Walnut Street, Suite 1112, Philadelphia, PA 19107, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe examine the practical application of multiparametric MRI (mpMRI) prostate biopsy data using established pre-RP nomograms and its potential implications on RP intraoperative decision-making. We hypothesize that current nomograms are suboptimal in predicting outcomes with mpMRI targeted biopsy (TBx) data. MATERIALS AND

methodsPatients who underwent mpMRI-based TBx prior to RP were assessed using the MSKCC and Briganti nomograms with the following iterations: (1) Targeted (T) (targeted only), (2) Targeted and Systematic (TS) and (3) Targeted Augmented (TA) (targeted core data; assumed negative systematic cores for 12 total cores). Nomogram outcomes, lymph node involvement (LNI), extracapsular extension (ECE), organ-confined disease (OCD), seminal vesicle invasion (SVI), were compared across iterations. Clinically significant impact on management was defined as a change in LNI risk above or below 2% (Δ2) or 5% (Δ5).

resultsA total of 217 men met inclusion criteria. Overall, the TA iteration had more conservative nomogram outcomes than the T. Moreover, TA better predicted RP pathology for all four outcomes when compared with the T. In the entire cohort, Δ2 and Δ5 were 16.6-25.8% and 20.3-39.2%, respectively. In the subset of 190 patients with targeted and systematic cores, TA was a better approximation of TS outcomes than T in 71% (MSKCC) and 82% (Briganti) of patients.

conclusionIn established pre-RP nomograms, mpMRI-based TBx often yield variable and discordant results when compared with systematic biopsies. Future nomograms must better incorporate mpMRI TBx core data. In the interim, augmenting TBx data may serve to bridge the gap.

Indexed as

BrigantimpMRIMSKCCnomogramradical prostatectomytargeted biopsy

Identifiers

PMID31662795
PMCPMC6792279

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.