Evidence map›Paper›PMID 34161656›Full record

ArticleBJU international2022

Clinical utility of subclassifying positive surgical margins at radical prostatectomy.

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

Open access · greenAbstract read
In one paragraph

Article in BJU international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 1 institution in 1 country.

Shawn DasonDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Emily A VertosickDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Kazuma UdoDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Daniel D SjobergDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Andrew J VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-1525-6503
Hikmat Al-AhmadieDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ying-Bei ChenDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Anuradha GopalanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
S Joseph SirintrapunDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Satish K TickooDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Peter T ScardinoDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
James A EasthamDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Victor E ReuterDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Samson W FineDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-4322-3736
Memorial Sloan Kettering Cancer Center · US

Funding

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

Abstract

objectiveTo determine whether subclassification of positive surgical margins (PSMs) increases predictive ability for biochemical recurrence (BCR) and aids clinical decision-making in patients undergoing radical prostatectomy. PATIENTS AND

methodsWe studied 2147 patients with pT2 and pT3a prostate cancer with detailed surgical margin parameters and BCR status. We compared a base model, a linear predictor calculated from the Memorial Sloan Kettering Cancer Center postoperative nomogram (prostate-specific antigen, pathological tumour grade and stage), with the addition of surgical margin status to five additional models (base model plus surgical margin subclassifications) to evaluate enhancement in predictive accuracy. Decision curve analysis (DCA) was performed to determine the clinical utility of parameters that enhanced predictive accuracy.

resultsAmong 2147 men, 205 had PSMs, and 231 developed BCR. Discrimination for the base model with addition of surgical margin status was high (c-index = 0.801) and not meaningfully improved by adding surgical margin subclassification in the full cohort. In analyses considering only men with PSMs (N = 55 with BCR), adding surgical margin subclassification to the base model increased discrimination for total length of all PSMs - alone or with maximum Gleason grade at the margin (c-index improvement = 0.717 to 0.752 and 0.753, respectively). DCA demonstrated a modest benefit to clinical utility with the addition of these parameters.

conclusionsSpecific subclassification parameters add predictive accuracy for BCR and may aid clinical utility in decision-making for patients with PSMs. These findings may be useful for patient counselling and future adjuvant therapy trial design.

Indexed as

Margins of ExcisionProstatic NeoplasmsHumansMaleNeoplasm GradingNeoplasm Recurrence, LocalProstateProstatectomyProstate-Specific AntigenProstate-Specific AntigenGrade Grouppathological stage#PCSM#prostate cancerradiotherapysurgical margin#uroonc

Identifiers

PMID34161656
PMCPMC9514027
OpenAlexW3177116248

What OpenQuestion holds

Textmetadata
LicenceTDM
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.