Evidence map›Paper›PMID 39958259›Full record

ArticleBJUI compass2025

Method to determine the nadir PSA following partial gland ablation.

Nelson N Stone, Vassilios Skouteris, Rendi Shu, Richard G Stock, Ben Gl Vanneste

Abstract read
In one paragraph

Article in BJUI compass, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Nelson N StoneDepartment of Urology The Icahn School of Medicine at Mount Sinai New York New York USA.ORCID https://orcid.org/0000-0001-6233-1209
Vassilios SkouterisBrachytherapy Center Hygeia Hospital Athens Greece.
Rendi ShuDepartment of Radiation Oncology The Icahn School of Medicine at Mount Sinai New York New York USA.
Richard G StockDepartment of Radiation Oncology The Icahn School of Medicine at Mount Sinai New York New York USA.ORCID https://orcid.org/0000-0002-0784-4535
Ben Gl VannesteDepartment of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction Maastricht University Medical Centre+ Maastricht The Netherlands.ORCID https://orcid.org/0000-0003-2334-5207

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objective of this study is to propose a novel method of determining the nadir PSA (nPSA) for men with prostate cancer treated by partial gland ablation (PGA). Materials and Methods: Two cohorts of men were analyzed to develop a formula for the nPSA in men undergoing PGA. First, 123 men with a suspicion of prostate cancer underwent transperineal mapping biopsy (TPMB) and found to have benign pathology. Their prostate-specific antigen (PSA) was compared to the prostate volume using curve estimation regression analysis. Second, the contribution of PSA from an ablated region was determined by using a surrogate of 545 men who had whole-gland brachytherapy followed by prostate biopsy. Biopsy results were compared to radiation dose (calculated as the biological equivalent dose) levels in men who were free from biochemical failure. The nPSA was then calculated by using the PSA density (PSAD) for the untreated volume plus the PSA from the post-brachytherapy patients. Results: The PSAD with the highest Conclusion: A method for determining the nPSA following PGA using brachytherapy was developed. The formula relies on complete ablation of the treated volume, which resulted in no PSA contribution from that component. Other forms of ablative energy should yield similar results. Further clinical validation of this concept is warranted.

Indexed as

biochemical failurebiopsyfocal therapynadir PSAprostate cancerradiation dose

Identifiers

PMID39958259
PMCPMC11826440

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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.