Evidence map›Paper›PMID 42144537›Full record

ArticleJournal of robotic surgery2026

Relationship between the status of positive surgical margins and biochemical recurrence: developing a risk stratification model for biochemical recurrence following radical prostatectomy.

Shuichi Morizane, Ahmed A Hussein, Zhe Jing, Abdul Wasay Mahmood, Sophia Wychowski, Salman Khan, Sarita Das, Ali Ahmad, Joshua Iskander, Grace Harrington and 5 more

Abstract read
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In one paragraph

Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

15 authors.

Shuichi MorizaneDivision of Urology, Department of Surgery, Faculty of Medicine, Tottori University, Yonago, Tottori, 6838504, Japan.
Ahmed A HusseinDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Zhe JingDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Abdul Wasay MahmoodDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Sophia WychowskiDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Salman KhanDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Sarita DasDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Ali AhmadDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Joshua IskanderDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Grace HarringtonDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Mohammad KhanDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Zaineb AhmedDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Muhsinah HowladerDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.
Atsushi TakenakaDivision of Urology, Department of Surgery, Faculty of Medicine, Tottori University, Yonago, Tottori, 6838504, Japan.
Khurshid A GuruDepartment of Urology, A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA. Khurshid.guru@roswellpark.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To create a risk stratification model for biochemical recurrence by examining the relationship between the positive surgical margin status and biochemical recurrence in patients with prostate cancer after radical prostatectomy. This retrospective study included 3,010 patients who received radical prostatectomy. We analyzed the effect of postoperative pathological results using the Kaplan-Meier method and Cox model regression analysis in patients with no positive lymph node. A risk stratification model incorporating the total positive surgical margin length was constructed based on factors predicting biochemical recurrence. Among the total 1,865 patients, 346 (19%) experienced biochemical recurrence after radical prostatectomy and 377 (20%) had a positive surgical margin. The median positive surgical margin count was 1, and the median total positive surgical margin length measured 1.0 mm. The multivariable regression analysis revealed significant associations between biochemical recurrence and the following factors: preoperative prostate-specific antigen level > 20 ng/mL (p < 0.001), pathological Gleason grade (p < 0.001), extraprostatic extension (p < 0.001), seminal vesicle invasion (p < 0.001), lymphovascular invasion (p = 0.010), and total positive surgical margin length of ≥ 1 mm (p < 0.001). Patients were classified into good-, intermediate-, and poor-risk groups corresponding to the presence of 0, 1, or ≥ 2 factors, respectively. The 5-year survival rates without biochemical recurrence were 93%, 81%, and 47%, respectively. Our risk stratification model for biochemical recurrence after radical prostatectomy incorporates preoperative prostate-specific antigen level and pathological results, thereby aiding in patient counseling and the selection of appropriate adjunctive therapy after radical prostatectomy.

Indexed as

Margins of ExcisionNeoplasm Recurrence, LocalProstatectomyProstatic NeoplasmsAgedHumansMaleMiddle AgedNeoplasm GradingProstate-Specific AntigenRetrospective StudiesRisk AssessmentProstate-Specific AntigenBiochemical recurrenceMargin lengthPositive surgical marginProstate cancerRadical prostatectomy

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Registered trials

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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.