Evidence map›Paper›PMID 39337158›Full record

ArticleHealthcare (Basel, Switzerland)2024

Sleep Quality and Urinary Incontinence in Prostate Cancer Patients: A Data Analytics Approach with the ASCAPE Dataset.

Ioannis Manolitsis, Georgios Feretzakis, Lazaros Tzelves, Athanasios Anastasiou, Yiannis Koumpouros, Vassilios S Verykios, Stamatios Katsimperis, Themistoklis Bellos, Lazaros Lazarou, Ioannis Varkarakis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Healthcare (Basel, Switzerland), 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

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

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

10 authors.

Ioannis ManolitsisSecond Department of Urology, Sismanoglio General Hospital, National and Kapodistrian University of Athens, 15126 Athens, Greece.ORCID 0000-0003-1496-0742
Georgios FeretzakisSchool of Science and Technology, Hellenic Open University, 26335 Patras, Greece.ORCID 0000-0002-3597-1187
Lazaros TzelvesSecond Department of Urology, Sismanoglio General Hospital, National and Kapodistrian University of Athens, 15126 Athens, Greece.ORCID 0000-0003-4619-9783
Athanasios AnastasiouBiomedical Engineering Laboratory, National Technical University of Athens, 15780 Athens, Greece.ORCID 0000-0001-6679-3590
Yiannis KoumpourosDigital Innovation in Public Health Research Laboratory, Department of Public and Community Health, University of West Attica, 11521 Athens, Greece.ORCID 0000-0001-6912-5475
Vassilios S VerykiosSchool of Science and Technology, Hellenic Open University, 26335 Patras, Greece.ORCID 0000-0002-9758-0819
Stamatios KatsimperisSecond Department of Urology, Sismanoglio General Hospital, National and Kapodistrian University of Athens, 15126 Athens, Greece.ORCID 0000-0002-7028-1544
Themistoklis BellosSecond Department of Urology, Sismanoglio General Hospital, National and Kapodistrian University of Athens, 15126 Athens, Greece.ORCID 0000-0002-0390-1467
Lazaros LazarouSecond Department of Urology, Sismanoglio General Hospital, National and Kapodistrian University of Athens, 15126 Athens, Greece.ORCID 0000-0003-4979-6452
Ioannis VarkarakisSecond Department of Urology, Sismanoglio General Hospital, National and Kapodistrian University of Athens, 15126 Athens, Greece.ORCID 0000-0002-9248-7404

Funding

Horizon 2020 research and innovation programme 875351
6 · The paper itself

Abstract

backgroundThe ASCAPE project aims to improve the health-related quality of life of cancer patients using artificial intelligence (AI)-driven solutions. The current study employs a comprehensive dataset to evaluate sleep and urinary incontinence, thus enabling the development of personalized interventions.

methodsThis study focuses on prostate cancer patients eligible for curative treatment with surgery. Forty-two participants were enrolled following their diagnosis and were followed up at baseline and 3, 6, 9, and 12 months after surgical treatment. The data collection process involved a combination of standardized questionnaires and wearable devices, providing a holistic view of patients' QoL and health outcomes. The dataset is systematically organized and stored in a centralized database, with advanced statistical and AI techniques being employed to reveal correlations, patterns, and predictive markers that can ultimately lead to implementing personalized intervention strategies, ultimately enhancing patient QoL outcomes.

resultsThe correlation analysis between sleep quality and urinary symptoms post-surgery revealed a moderate positive correlation between baseline insomnia and baseline urinary symptoms (r = 0.407,

conclusionsThe investigation of sleep quality and urinary incontinence via data analysis through the ASCAPE project suggests that better sleep quality could improve urinary disorders.

Indexed as

artificial intelligenceprostate cancerquality of lifesleep qualityurinary incontinence

Identifiers

PMID39337158
PMCPMC11431405

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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.