Evidence map›Paper›PMID 39744074›Full record

ArticleBJUI compass2024

Early oncological outcomes of delayed radical prostatectomy: A prospective, international, follow-up analysis of the COVIDSurg-Cancer study.

Arjun Nathan, Chuanyu Gao, Alexander Light, Cameron Alexander, Vinson Chan, Kevin Gallagher, Sinan Khadhouri, Kevin G Byrnes, Michael Ng, Michael Walters and 15 more

Abstract read
In one paragraph

Article in BJUI compass, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

25 authors.

Arjun NathanDivision of Surgery and Interventional Sciences University College London London UK.ORCID https://orcid.org/0000-0002-8572-2832
Chuanyu GaoBritish Urology Researchers in Surgical Training (BURST) Research Collaborative London UK.ORCID https://orcid.org/0000-0002-9824-6468
Alexander LightBritish Urology Researchers in Surgical Training (BURST) Research Collaborative London UK.
Cameron AlexanderBritish Urology Researchers in Surgical Training (BURST) Research Collaborative London UK.ORCID https://orcid.org/0000-0002-9550-6973
Vinson ChanBritish Urology Researchers in Surgical Training (BURST) Research Collaborative London UK.ORCID https://orcid.org/0000-0002-6108-9315
Kevin GallagherBritish Urology Researchers in Surgical Training (BURST) Research Collaborative London UK.ORCID https://orcid.org/0000-0001-5485-5336
Sinan KhadhouriBritish Urology Researchers in Surgical Training (BURST) Research Collaborative London UK.ORCID https://orcid.org/0000-0002-1836-8992
Kevin G ByrnesBritish Urology Researchers in Surgical Training (BURST) Research Collaborative London UK.
Michael NgUrology Department Royal Devon and Exeter NHS Foundation Trust Exeter UK.ORCID https://orcid.org/0000-0003-4877-5633
Michael WaltersBirmingham Centre for Observational and Prospective Studies Birmingham UK.
Terry HughesBirmingham Centre for Observational and Prospective Studies Birmingham UK.
Rita J PerryBirmingham Centre for Observational and Prospective Studies Birmingham UK.
Kelvin OkothBirmingham Centre for Observational and Prospective Studies Birmingham UK.
Laura MagillBirmingham Centre for Observational and Prospective Studies Birmingham UK.
Thomas PinkneyBirmingham Centre for Observational and Prospective Studies Birmingham UK.
Yuhao ZhangStepping Hill Hospital, Stockport NHS Foundation Trust Stockport UK.
James BlackmurDepartment of Urology Addenbrooke's Hospital Cambridge UK.
Eric EtchillJohns Hopkins Hospital Baltimore Maryland USA.
Stanley TangDivision of Surgery and Interventional Sciences University College London London UK.
Damián García EscuderoHospital General Reina Sofía Murcia Spain.
Alan McNeillDepartment of Urology NHS Lothian Edinburgh UK.
Krishna NarahariUniversity Hospital of Wales Cardiff and Vale University Health Board Cardiff UK.
Grant D StewartDepartment of Surgery University of Cambridge Cambridge UK.ORCID https://orcid.org/0000-0003-3188-9140
Veeru KasivisvanathanDivision of Surgery and Interventional Sciences University College London London UK.ORCID https://orcid.org/0000-0002-0832-382X
COVIDSurg Collaborative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objective of this study is to compare the early oncological outcomes of delayed (>90 days) versus scheduled (≤90 days) radical prostatectomy (RP). Patients and methods: Patients with prostate cancer due to undergo surgery between March 2020 and June 2020 who were enrolled in the COVIDSurg-Cancer international, observational study were prospectively followed up for 1 year. Time to surgery was defined as the difference between the operation date and the multi-disciplinary team decision to offer surgery. The primary outcome was the positive surgical margin (PSM) rate. Biochemical recurrence (BCR), upgradation and upstaging were secondary oncological outcomes. The Independent Results: Four hundred seventy-six (78.7%) patients underwent RP from 605 that were eligible. Three hundred seven (64.5%) patients underwent scheduled RP, and 169 (35.5%) underwent delayed RP. A small proportion of men ( Conclusion: High-risk men were prioritised for surgery during the COVID-19 pandemic. Our prospective data support previous retrospective, cancer-registry evidence suggesting no adverse oncological impact after delaying RP across all risk groups. Our study is limited by the short follow-up period, and therefore, longer term conclusions cannot be drawn.

Indexed as

COVIDdelayprostate cancerradical prostatectomysurgery

Identifiers

PMID39744074
PMCPMC11685180

What OpenQuestion holds

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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.