Evidence map›Paper›PMID 28230003›Full record

ArticleAsian journal of andrology

Risk stratification for disease progression in pT3 prostate cancer after robot-assisted radical prostatectomy.

Jeong Hee Hong, Young Suk Kwon, Isaac Yi Kim

Abstract read
In one paragraph

Article in Asian journal of andrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  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

3 authors.

Jeong Hee HongSection of Urologic Oncology, Rutgers Cancer Institute of New Jersey, Division of Urology, Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08903, USA.
Young Suk KwonSection of Urologic Oncology, Rutgers Cancer Institute of New Jersey, Division of Urology, Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08903, USA.
Isaac Yi KimSection of Urologic Oncology, Rutgers Cancer Institute of New Jersey, Division of Urology, Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08903, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to identify optimal patients for adjuvant radiation therapy (ART) in pT3 prostate cancer. The role of ART for patients with adverse pathologic features after radical prostatectomy (RP) has been demonstrated, but over- or under-treatment remains a significant concern. Two-hundred and five patients with pT3N0M0 who underwent robot-assisted RP without ART were analyzed. Multivariate Cox proportional regression analyses were used to identify predictors of biochemical recurrence (BCR) and clinical progression (CP). The estimated 5-year BCR-free survival (BCRFS) and CP-free survival (CPFS) were 52.8% and 85.6%, respectively. Preoperative prostate-specifc antigen (PSA) ≥10 ng ml-1 (hazard ratio [HR]: 3.288-6.027; P = 0.003), pathologic Gleason score (pGS) ≥8 (HR: 4.146; P = 0.014), and lymphovascular invasion (LVI) (HR: 2.167; P = 0.026) were associated with BCR. Based on these factors, a risk stratification tool was developed. Patients with no risk factors (PSA <10 ng ml-1 , pGS 6, and absent LVI) showed excellent BCRFS and CPFS at 5 years (91.9% and 100.0%, respectively), but those with two or more risk factors (PSA ≥10 ng ml-1 , pGS ≥8, or present LVI) had poor BCRFS and CPFS (12.1% and 54.6%, respectively). In addition, the multivariate analysis revealed that pathologic stage pT3b (HR: 5.393; P = 0.025) was the only predictor of CP. Our study demonstrated the heterogeneity of oncologic outcomes in patients with pT3 prostate cancer. The proposed risk stratification can be used to identify patients who are at risk for disease progression and may aid in identifying the best patients for ART.

Indexed as

AgedDisease-Free SurvivalDisease ProgressionHumansMaleMiddle AgedNeoplasm GradingProstateProstatectomyProstatic NeoplasmsRisk AssessmentRisk FactorsRobotic Surgical ProceduresSurvival RateTreatment Outcome

Identifiers

PMID28230003
PMCPMC5676431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.