Evidence map›Paper›PMID 42151597›Full record

ReviewUrologie (Heidelberg, Germany)2026

[Oligometastatic hormone-sensitive prostate cancer: when can less be more?]

Richard Cathomas

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Urologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

1 author.

Richard CathomasAbteilung Onkologie/Hämatologie, Kantonsspital Graubünden, 7000, Chur, Schweiz. richard.cathomas@ksgr.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the use of modern imaging technology such as prostate-specific membrane antigen positron emission tomography-computed tomography (PSMA PET-CT), compared to conventional imaging with CT and bone scan, in the primary staging of localized prostate cancer and in the setting of PSA failure after local therapy, an increasing number of men are being diagnosed with metastatic prostate cancer with a low tumor burden. At the same time, the combination of androgen deprivation therapy (ADT) with androgen receptor pathway inhibitors (ARPI) has significantly improved the response rate and prognosis in metastatic hormone-sensitive prostate cancer. As a result, interest has in recent years grown in optimizing treatment for patients with low tumor burden by reducing treatment intensity. Strategies under evaluation include metastasis-directed therapy (MDT), intermittent systemic therapy and combinations of both. To date, no randomized phase 3 trials have demonstrated a benefit of either MDT alone or in combination to standard treatment, nor of intermittent strategies in oligometastatic prostate cancer. Nevertheless, experts consider the use of MDT as well as intermittent treatment with ADT + ARPI to be justified in selected cases. For clinical practice, it is important that treatment decisions adhere to the definition of oligometastatic disease (maximum of 5 metastases in bone or lymph nodes on PSMA PET-CT) and take into account the biology of the disease (synchronous vs. metachronous). The concepts of MDT and intermittent systemic therapy appear promising and patient participation in ongoing clinical trials is crucial.

Indexed as

Androgen AntagonistsProstatic NeoplasmsHumansMaleNeoplasm MetastasisPositron Emission Tomography Computed TomographyAndrogen AntagonistsAndrogen deprivationMetastasisProstate-specific antigenPSMA PET-CTSystemic therapy

Identifiers

What OpenQuestion holds

Textmetadata
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.