Evidence map›Paper›PMID 30300632›Full record

ArticleThe Journal of urology2019

Clinical Usefulness of Prostate and Tumor Volume Related Parameters following Radical Prostatectomy for Localized Prostate Cancer.

Yujiro Ito, Kazuma Udo, Emily A Vertosick, Daniel D Sjoberg, Andrew J Vickers, Hikmat A Al-Ahmadie, Ying-Bei Chen, Anuradha Gopalan, S Joseph Sirintrapun, Satish K Tickoo and 4 more

Abstract read
In one paragraph

Article in The Journal of urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Higher Preoperative Maximum Standardised Uptake Values (SUVDiagnostics (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Review
  7. Prostate Cancer Tumor Volume and Genomic Risk.European urology open science · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Yujiro ItoUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Kazuma UdoUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Emily A VertosickDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Daniel D SjobergDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Andrew J VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Hikmat A Al-AhmadieDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Ying-Bei ChenDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Anuradha GopalanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
S Joseph SirintrapunDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Satish K TickooDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Peter T ScardinoUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
James A EasthamUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Victor E ReuterDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Samson W FineDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeWe evaluated whether the prediction of biochemical recurrence after radical prostatectomy is enhanced by any of 6 parameters, including prostate volume, total tumor volume, high grade total tumor volume, the ratio of high grade total tumor volume to total tumor volume, the ratio of total tumor volume to prostate volume and/or the ratio of high grade total tumor volume to prostate volume. MATERIALS AND

methodsA total of 1,261 patients who underwent radical prostatectomy during a 3-year period had tumor maps constructed with the Gleason pattern denoted as low-3 or high-4 or 5 and volumetric data generated using commercially available software. Univariate Cox regression models were used to assess whether each volume related parameter was associated with biochemical recurrence after radical prostatectomy. A multivariable Cox regression base model (age, prostate specific antigen, Gleason score/grade group, pathological stage and margin status) was compared with 6 additional models (base model plus each volume related parameter) to evaluate enhancement in predictive accuracy. Decision curve analysis was performed to determine the clinical utility of parameters that enhanced predictive accuracy.

resultsOn univariate analysis each parameter was significantly associated with biochemical recurrence except prostate volume. Predictive accuracy of the multivariable base model was high (c-index = 0.861). Adding volume related parameters marginally enhanced discrimination. Decision curve analysis failed to show added benefit even for high grade total tumor volume/total tumor volume, which was the parameter with the highest discriminative improvement.

conclusionsTumor volume related parameters are significantly associated with radical prostatectomy but do not add important discrimination to standard clinicopathological variables for radical prostatectomy prediction or provide benefit across a range of clinically relevant decision thresholds. Volume related measurement is not warranted in routine pathological evaluation and reporting.

Indexed as

ProstatectomyTumor BurdenAgedHumansMaleMiddle AgedNeoplasm Recurrence, LocalPredictive Value of TestsProstateProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesProstate-Specific Antigen

Identifiers

PMID30300632
PMCPMC6686678

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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.