Evidence map›Paper›PMID 40507323›Full record

ArticleCancers2025

An Analysis of Waiting Times for the Diagnosis and Treatment of Patients with Prostate Cancer Established by the Requirements of the Fast-Track Cancer Treatment Pathway, Taking into Account Treatment Steps.

Aleksandra Sierocka, Stanisław Brzozowski, Michał Marczak, Mariusz Bednarek, Remigiusz Kozłowski

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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.

Aleksandra SierockaDepartment of Management and Logistics in Healthcare, Medical University of Lodz, 90-419 Lodz, Poland.
Stanisław BrzozowskiDepartment of Management, SAN University in Lodz, 90-113 Lodz, Poland.
Michał MarczakDepartment of Innovation, Merito University in Poznan, 61-895 Poznan, Poland.ORCID 0000-0001-6262-0529
Mariusz BednarekDepartment of Innovation, Merito University in Poznan, 61-895 Poznan, Poland.
Remigiusz KozłowskiDepartment of Management and Logistics in Healthcare, Medical University of Lodz, 90-419 Lodz, Poland.ORCID 0000-0003-2781-5341

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is the most common cancer in men in 112 countries, accounting for 1 in 14 diagnosed cancer cases worldwide. For this reason, the diagnosis and treatment of prostate cancer changed significantly, becoming a multidisciplinary process. Since 2015 in Poland, measures have been taken to accelerate the diagnosis and treatment of cancers, including shortening patients' diagnosis and treatment waiting times. BACKGROUND/

objectivesThe aim of this study was to characterize the current clinical pathway of patients with prostate cancer and to establish standard times for various steps of treatment, as well as to develop a visualization of the steps involved in diagnosis and treatment.

methodsThe research covers 2018 to 2022 in a large oncological hospital in Poland (EU area). The source data, in the form of 10 fully anonymized CSV files generated from the hospital's medical statistics, have been converted to the target data model.

resultsThe time limits for diagnosing and commencing the treatment of patients with diagnosed prostate cancer specified by legal regulations and by guidelines of scientific associations are not met in 42% of cases. The greatest delays concern the initiation of the steps of treatment (53%) and comprehensive diagnostics (37%). The diagnostic pathways should be modified to facilitate early and rapid detection of prostate cancer and to allow further therapy within the time limit strictly defined by regulations and guidelines of scientific associations.

Indexed as

analysis of diagnosis and treatment timesbenefit value flow diagramcost-intensity of treatmentfast-track cancer treatment pathwayLean Healthcare 4.0 diagnostic modelprostate cancervisualization of treatment processes

Identifiers

PMID40507323
PMCPMC12153762

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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.