Evidence map›Paper›PMID 34503067›Full record

ReviewCancers2021

A Review on the Current Treatment Paradigm in High-Risk Prostate Cancer.

Laura Burgess, Soumyajit Roy, Scott Morgan, Shawn Malone

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Personalized 3-Gene Panel for Prostate Cancer Target Therapy.Current issues in molecular biology · 2022
    Article
  15. The Impact of Metabolic Syndrome and Type 2 DiabetesFrontiers in cell and developmental biology · 2022
    Review
  16. 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

4 authors.

Laura BurgessDivision of Radiation Oncology, Department of Radiology, University of Ottawa, Ottawa, ON K1H 8L6, Canada.ORCID 0000-0003-2664-0105
Soumyajit RoyDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL 60605, USA.ORCID 0000-0001-6617-5522
Scott MorganDivision of Radiation Oncology, Department of Radiology, University of Ottawa, Ottawa, ON K1H 8L6, Canada.ORCID 0000-0002-6568-3346
Shawn MaloneDivision of Radiation Oncology, Department of Radiology, University of Ottawa, Ottawa, ON K1H 8L6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-risk prostate cancer is traditionally treated with a combination of radiotherapy (RT) and androgen deprivation therapy (ADT). However, recent advancements in systemic treatment and radiotherapy have widened the spectrum of treatment for this patient population. Use of image guidance and intensity modulation, as well as the incorporation of brachytherapy, has led to safe radiotherapy dose escalation with reduced risk of recurrence. Clinical trials have helped define the role of pelvic nodal radiotherapy, the role of stereotactic ablative radiotherapy, and the optimal duration and sequencing of ADT in combination with radiotherapy. Emerging evidence has redefined the role of surgery in this cohort. Contemporary clinical trials have identified new systemic therapy options in high-risk prostate cancer. Finally, new imaging modalities including multi-parametric MRI and molecular imaging and genomic classifiers have ushered a new era in patient selection, risk stratification, and treatment tailoring.

Indexed as

high-risk prostate cancermolecular imagingradiotherapytargeted therapy

Identifiers

PMID34503067
PMCPMC8428221

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.