Evidence map›Paper›PMID 31346291›Full record

ReviewNature reviews. Urology2019

New approaches for effective and safe pelvic radiotherapy in high-risk prostate cancer.

Hannah Tharmalingam, Ananya Choudhury, Marcel Van Herk, Alan McWilliam, Peter J Hoskin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Circular RNA-regulated autophagy is involved in cancer progression.Frontiers in cell and developmental biology · 2022
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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.

Hannah TharmalingamMount Vernon Cancer Centre, Northwood, UK. hannah.tharmalingam@nhs.net.ORCID http://orcid.org/0000-0002-8997-8800
Ananya ChoudhuryThe Christie Hospital NHS Foundation Trust, Manchester, UK.
Marcel Van HerkThe Christie Hospital NHS Foundation Trust, Manchester, UK.
Alan McWilliamThe Christie Hospital NHS Foundation Trust, Manchester, UK.
Peter J HoskinMount Vernon Cancer Centre, Northwood, UK.ORCID http://orcid.org/0000-0001-8323-9567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radical radiotherapy for prostate cancer offers excellent long-term outcomes for patients with high-risk disease. The increased risk of pelvic nodal involvement in this cohort has led to the development of whole-pelvis radiotherapy (WPRT) with a prostate boost. However, the use of WPRT remains controversial. Data are mixed, but advanced radiotherapy techniques enable delivery of increased radiation to pelvic nodes with acceptable levels of toxicity. Contemporary imaging modalities with increased sensitivity for detecting subclinical lymph node disease will facilitate selection of patients most likely to benefit from WPRT. Using such modalities for image guidance of advanced radiotherapy techniques could also permit high-dose delivery to nodes outside the conventional Radiation Therapy Oncology Group volumes, where magnetic resonance lymphography and single-photon-emission CT imaging have mapped a high frequency of microscopic disease. With increased toxicity a concern, an alternative to WPRT would be selective irradiation of target nodal groups most likely to harbour occult disease. New image-based 'big data' mining techniques enable the large-scale comparison of incidental dose distributions of thousands of patients treated in the past. By using novel computing methods and artificial intelligence, high-risk regions can be identified and used to optimize WPRT through refined knowledge of the likely location of subclinical disease.

Indexed as

HumansMalePelvisProstatic NeoplasmsRadiotherapyRisk AssessmentTreatment Outcome

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.