Evidence map›Paper›PMID 39697719›Full record

ReviewTranslational cancer research2024

A narrative clinical trials review in the realm of focal therapy for localized prostate cancer.

Alon Lazarovich, Vijay Viswanath, Aaron S Dahmen, Abhinav Sidana

Abstract readReview
In one paragraph

Review in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

4 authors.

Alon LazarovichSection of Urology, Department of Surgery, University of Chicago, Chicago, IL, USA.
Vijay ViswanathDivision of Urology, Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Aaron S DahmenSection of Urology, Department of Surgery, University of Chicago, Chicago, IL, USA.
Abhinav SidanaSection of Urology, Department of Surgery, University of Chicago, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: The role of focal therapy in the treatment of localized prostate cancer is evolving. However, despite accumulating evidence, current guidelines and regulatory bodies refrain from endorsing focal therapy outside of clinical trials. Our goal was the to review the focal therapy realm for ongoing clinical trials and high impact recently published trials. Methods: Our comprehensive investigation includes an exhaustive review of ClinicalTrials.gov and PubMed databases, identifying and analyzing clinical trials with diverse modalities of focal therapy. In this review, we focused on critical ongoing and recently concluded clinical trials (2-15-2023) in the focal therapy realm. Key Content and Findings: We identified several trials on focal therapy at various stages of progression and various trial design. The trials study all different modalities of focal therapy including high-intensity focused ultrasound (HIFU), cryoablation, irreversible electroporation (IRE), focal laser ablation (FLA), transurethral ultrasound ablation (TULSA)-PRO Conclusions: The exploration of focal therapy in prostate cancer holds promise for achieving oncological control while minimizing the impact on patients' quality of life. Continued research and trial results will play a pivotal role in delineating focal therapy's optimal role in the broader prostate cancer treatment spectrum.

Indexed as

focal therapylocalized prostate cancerprostate ablationProstate cancer

Identifiers

PMID39697719
PMCPMC11651783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.