Evidence map›Paper›PMID 40115479›Full record

ArticleCentral European journal of urology2024

Value of baseline PSA in predicting prostate cancer diagnosis and death. Spanish arm of the European Randomized Study of Screening for Prostate Cancer.

Alba María García-Cano-Fernández, Álvaro Páez Borda, Luis Llanes González, Marcos Luján Galán

Abstract read
In one paragraph

Article in Central European journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Alba María García-Cano-FernándezInternational Doctoral School, Rey Juan Carlos University, Madrid, Spain.
Álvaro Páez BordaAssociate Professor of Health Sciences at the Rey Juan Carlos University, Madrid, Spain.
Luis Llanes GonzálezAssociate Professor of Health Sciences at the Francisco de Vitoria University, Madrid, Spain.
Marcos Luján GalánAssociate Professor of Health Sciences at the Complutense University of Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Several studies have suggested that prostate-specific antigen (PSA) in young men may predict the risk of developing prostate cancer (PC). Our aim is to study baseline PSA as a prognostic factor in the lifetime risk of developing PC, clinically significant PC (csPC), and metastatic PC (mPC), as well as to assess its impact on long-term mortality. Material and methods: This study was a retrospective analysis involving 2,415 men aged 45-70 years, all participants in the Spanish arm of the European Randomized Study of Screening for Prostate Cancer (ERSPC). These men underwent PSA testing, and prostate biopsies were performed if their PSA levels were ≥3 ng/ml. The follow-up period spanned from September 2, 1996, to February 11, 2021. Kaplan-Meier survival analysis was conducted to calculate the probability of prostate cancer diagnosis and death. The relationship between these probabilities and baseline PSA levels was assessed using the log-rank test. Results: After 25 years of follow-up, the probability of being free of a diagnosis of PC was 95.5%, 89.6%, 80.0%, and 69.4%; and of PC death: 99.6%, 99.6%, 98.9%, and 98.3% for the categories of PSA <1 ng/ml, 1-1.9 ng/ml, 2-2.9 ng/ml, and >3 ng/ml, respectively. There is an association between baseline PSA level and the probability of PC diagnosis (which is maintained in age stratification), csPC, mPC (p <0.001), and PC death (p = 0.047). Conclusions: There is a clear relationship between baseline PSA and the probability of detection of PC, csPC and mPC during follow-up, as well as PC death, in a cohort belonging to the Spanish branch of the ERSPC, with a median follow-up of more than 23 years. Baseline PSA level can be used to define the most appropriate PC screening interval for everyone.

Indexed as

baseline PSAclinically significant prostate cancermetastatic prostate cancerprostate cancerprostate cancer death

Identifiers

PMID40115479
PMCPMC11921960

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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.