Evidence map›Paper›PMID 34493837›Full record

ArticleProstate cancer and prostatic diseases2023

Determinants of variation in radical local treatment for men with high-risk localised or locally advanced prostate cancer in England.

Matthew G Parry, Jemma M Boyle, Julie Nossiter, Melanie Morris, Arunan Sujenthiran, Brendan Berry, Paul Cathcart, Ajay Aggarwal, Jan van der Meulen, Heather Payne and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Prostate cancer and prostatic diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% of its field
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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 1 country.

Matthew G ParryDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK. mparry@rcseng.ac.uk.ORCID 0000-0002-9695-6052
Jemma M BoyleDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Julie NossiterClinical Effectiveness Unit, Royal College of Surgeons of England, London, UK.
Melanie MorrisDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Arunan SujenthiranClinical Effectiveness Unit, Royal College of Surgeons of England, London, UK.
Brendan BerryDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-7132-5839
Paul CathcartDepartment of Urology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Ajay AggarwalDepartment of Cancer Epidemiology, Population, and Global Health, King's College London, London, UK.
Jan van der Meulen *Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Heather Payne *Department of Oncology, University College London Hospitals, London, UK.
Noel W Clarke *Department of Urology, The Christie and Salford Royal NHS Foundation Trusts, Manchester, UK.
Royal College of Surgeons of England · GBGuy's and St Thomas' NHS Foundation Trust · GBKing's College London · GBLondon School of Hygiene & Tropical Medicine · GBRoyal London Hospital · GBSalford Royal NHS Foundation Trust · GBUniversity of London · GB

Funding

Department of Health DRF-2018-11-ST2-036
6 · The paper itself

Abstract

backgroundMany factors are implicated in the potential 'under-treatment' of prostate cancer but little is known about the between-hospital variation.

methodsThe National Prostate Cancer Audit (NPCA) database was used to identify high-risk localised or locally advanced prostate cancer patients in England, between January 2014 and December 2017, and the treatments received. Hospital-level variation in radical local treatment was explored visually using funnel plots. The intra-class correlation coefficient (ICC) quantified the between-hospital variation in a random-intercept multivariable logistic regression model.

results53,888 men, from 128 hospitals, were included and 35,034 (65.0%) received radical local treatment. The likelihood of receiving radical local treatment was increased in men who were younger (the strongest predictor), more affluent, those with fewer comorbidities, and in those with a non-Black ethnic background. There was more between-hospital variation (P < 0.001) for patients aged ≥80 years (ICC: 0.235) compared to patients aged 75-79 years (ICC: 0.070), 70-74 years (ICC: 0.041), and <70 years (ICC: 0.048). Comorbidity and socioeconomic deprivation did not influence the between-hospital variation.

conclusionsRadical local treatment of high-risk localised or locally advanced prostate cancer depended strongly on age and comorbidity, but also on socioeconomic deprivation and ethnicity, with the between-hospital variation being highest in older patients.

Indexed as

Prostatic NeoplasmsAgedComorbidityEnglandEthnicityHumansMaleProstatectomy

Identifiers

PMID34493837
PMCPMC7617054
OpenAlexW3196289198

What OpenQuestion holds

Textmetadata
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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.