Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Clinical Biochemistr...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Clinical Biochemistry
Article . 2023 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
versions View all 3 versions
addClaim

Long-term follow-up with a clinical decision support system based on laboratory reports to manage patients with biochemical recurrence after radical prostatectomy

Authors: Daniel Fatela-Cantillo; David Núñez-Jurado; Jorge Montenegro-Martínez; Enrique Argüelles-Salido;

Long-term follow-up with a clinical decision support system based on laboratory reports to manage patients with biochemical recurrence after radical prostatectomy

Abstract

Currently, prostate cancer (PCa) is the second most common cause of cancer death, and radical prostatectomy (RP) remains the primary treatment for localized PCa. Although there is no consensus on an optimal strategy, the determination of total serum prostate-specific antigen (tPSA) is the cornerstone for the detection of postoperative biochemical recurrence (BCR). The aim of this study was to evaluate the prognostic utility of serial tPSA levels together with other clinicopathological factors and to assess the impact of a commentary algorithm implemented in our laboratory information system.A descriptive and retrospective study of patients with clinically localized PCa who underwent RP. BCR-free survival was calculated over time (Kaplan-Meier analysis), and the ability of different clinicopathological factors to predict BCR was studied (univariate and multivariate analyses) with Cox models.A total of 203 patients underwent RP, of whom 51 presented with BCR during follow-up. In the multivariate model, doubling of tPSA, the Gleason score, tumour stage and tPSA nadir were detected as independent predictors of BCR.A patient with undetectable tPSA after 1959 days of RP is unlikely to develop BCR, regardless of preoperative or pathologic risk factors. Furthermore, doubling of tPSA in the first 2 years of follow-up was the main prognostic factor for BCR in patients undergoing RP. Other prognostic factors included a tPSA nadir detectable after surgery, a Gleason score ≥ 7 and a tumour stage T ≥ 2c.

Keywords

Male, Prostatectomy, Prostate cancer, Prostatic Neoplasms, Laboratory information system, Prostate-Specific Antigen, Decision Support Systems, Clinical, Radical prostatectomy, Biochemical recurrence, Total serum prostate-specific antigen, Humans, Neoplasm Grading, Neoplasm Recurrence, Local, Follow-Up Studies, Retrospective Studies

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 16
    download downloads 6
  • 16
    views
    6
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
16
6
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!