Evidence map›Paper›PMID 41625790›Full record

ArticleProstate international2025

Anterior versus posterior first approach for robot assisted radical prostatectomy-perioperative, functional, and oncological outcomes.

Faisal Masood Pirzada, Amlesh Seth, Rishi Nayyar, Brusabhanu Nayak, Rajeev Kumar

Abstract read
In one paragraph

Article in Prostate international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Faisal Masood PirzadaDepartments of Urology, All India Institute of Medical Sciences, New Delhi, India.
Amlesh SethDepartments of Urology, All India Institute of Medical Sciences, New Delhi, India.
Rishi NayyarDepartments of Urology, All India Institute of Medical Sciences, New Delhi, India.
Brusabhanu NayakDepartments of Urology, All India Institute of Medical Sciences, New Delhi, India.
Rajeev KumarDepartments of Urology, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robot-assisted radical prostatectomy (RARP) is commonly performed using either the anterior (AF) or posterior first (PF) approaches, depending upon where the dissection begins. While there is some data comparing outcomes of conventional RARP and Retzius sparing posterior RARP, there is limited data comparing outcomes between the AF and PF approaches to conventional RARP. We compared the two approaches in terms of perioperative, functional, and oncological outcomes. Materials and methods: We retrospectively reviewed our data of RARP performed between 2014 and 2023 and identified 258 patients who had undergone the procedure using one of the two approaches. The choice of approach was dependent upon the surgeon with five surgeons with varying experience having performed all surgeries. We compared the two cohorts for perioperative, functional, and oncological outcomes. Results: One hundred thirty-nine patients underwent RARP using the AF approach and 119 the PF approach. AF group were younger and had larger prostate volume at baseline. Operative time, blood loss was higher in the PF approach, whereas the positive surgical margins, biochemical recurrence, need for adjuvant therapy, potency, and continence parameters were similar between the two groups. Conclusions: Our data suggests that the AF approach offers certain advantages in operative outcomes in RARP. However, this could be due to surgeon experience and needs better-controlled studies for validation.

Indexed as

ContinenceProstate cancerRadical prostatectomyRobotic prostatectomySurgical approach

Identifiers

PMID41625790
PMCPMC12859510

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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.