Evidence map›Paper›PMID 38491826›Full record

ArticleCancer medicine2024

Exploring the relation of active surveillance schedules and prostate cancer mortality.

Zhenwei Yang, Eveline A M Heijnsdijk, Lisa F Newcomb, Dimitris Rizopoulos, Nicole S Erler

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 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
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
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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 at 2 institutions in 2 countries.

Zhenwei YangDepartment of Biostatistics, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0002-9823-2613
Eveline A M HeijnsdijkDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0002-4890-6069
Lisa F NewcombCancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Dimitris RizopoulosDepartment of Biostatistics, Erasmus University Medical Center, Rotterdam, the Netherlands.
Nicole S ErlerDepartment of Biostatistics, Erasmus University Medical Center, Rotterdam, the Netherlands.
Erasmus MC · NLFred Hutch Cancer Center · US

Funding

Modeling Precision Interventions for Prostate Cancer ControlU01CA253915 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ETZIONI, RUTH D, TSODIKOV, ALEXANDER · 2020 to 2025
$6.5M
NCI NIH HHS U01 CA253915NCI NIH HHS U01CA253915
6 · The paper itself

Abstract

backgroundActive surveillance (AS), where treatment is deferred until cancer progression is detected by a biopsy, is acknowledged as a way to reduce overtreatment in prostate cancer. However, a consensus on the frequency of taking biopsies while in AS is lacking. In former studies to optimize biopsy schedules, the delay in progression detection was taken as an evaluation indicator and believed to be associated with the long-term outcome, prostate cancer mortality. Nevertheless, this relation was never investigated in empirical data. Here, we use simulated data from a microsimulation model to fill this knowledge gap.

methodsIn this study, the established MIcrosimulation SCreening Analysis model was extended with functionality to simulate the AS procedures. The biopsy sensitivity in the model was calibrated on the Canary Prostate Cancer Active Surveillance Study (PASS) data, and four (tri-yearly, bi-yearly, PASS, and yearly) AS programs were simulated. The relation between detection delay and prostate cancer mortality was investigated by Cox models.

resultsThe biopsy sensitivity of progression detection was found to be 50%. The Cox models show a positive relation between a longer detection delay and a higher risk of prostate cancer death. A 2-year delay resulted in a prostate cancer death risk of 2.46%-2.69% 5 years after progression detection and a 10-year risk of 5.75%-5.91%. A 4-year delay led to an approximately 8% greater 5-year risk and an approximately 25% greater 10-year risk.

conclusionThe detection delay is confirmed as a surrogate for prostate cancer mortality. A cut-off for a "safe" detection delay could not be identified.

Indexed as

Prostatic NeoplasmsBiopsyDisease ProgressionHumansMaleProstateProstate-Specific AntigenWatchful WaitingProstate-Specific Antigenactive surveillancebiopsy schedulescancer mortalitydetection delaymicrosimulation modelprostate cancer

Identifiers

PMID38491826
PMCPMC10943374
OpenAlexW4392881768

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.