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    Item type:Publication,
    Quality Assessment of Clinical Practice Guidelines for the Management and Surgical Treatment of Female Stress Urinary Incontinence
    (Wiley, 2025-01-10)
    Mario Vásquez-Peralta
    ;
    Alison Simancas-Racines
    ;
    Juan Marcos Parise-Vasco
    ;
    Camila Montesinos-Guevara
    ;
    SIMANCAS RACINES, DANIEL ALEJANDRO  
    Clinical practice guidelines (CPGs) are tools developed to support evidence‐based decision making in healthcare. However, despite the availability of CPGs for the surgical management of female stress urinary incontinence (FSUI), their methodological quality has not been evaluated. The aim of this study was to assess the methodological quality of published guidelines for the surgical management of FSUI using the AGREE II tool. A systematic search of CPGs published between 2017 and 2023 was performed in databases including MEDLINE/PubMed, LILACS, Scopus, and Trip Medical Database. Data extraction and guideline selection were performed independently by two reviewers, as was the assessment using the AGREE II instrument. Of 1459 initial records, six guidelines met the eligibility criteria. The scores for each domain evaluated were as follows: scope and purpose (45.83%; SD: 22.69), stakeholder participation (30.56%; SD: 29.03), development (48.56%; SD: 30.42), presentation clarity (58.80%; SD: 22.25), applicability (24.04%; SD: 26.36), and editorial independence (44.87%; SD: 32.88). One of the six included CPGs was rated as high quality and recommended for clinical practice. Three CPGs with modifications were recommended because there were still areas that needed improvement to enhance their quality, and two CPGs were not recommended for clinical practice because the six domains evaluated scored below 60%. According to these findings, it is essential that new CPGs developed for the surgical management of FSUI adhere to greater methodological rigor to ensure that recommendations are based on the best available evidence. Furthermore, guidelines should take into account patient values and clinical expertise to improve and facilitate effective healthcare decision making.
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    New advances in artificial intelligence for the diagnosis and treatment of colorectal cancer: a literature review
    (Sapienza: International Journal of Interdisciplinary Studies, 2024-02-07)
    Raul Jonathan Ríos Quinte
    ;
    Alisson Berenice Ortiz Osorio
    ;
    César David Toaquiza Toapanta
    ;
    Elsa Alicia Landi Faican
    ;
    Jefferson Alexander García Toala
    Introduction: With 1.93 million new instances of colorectal cancer (CRC) reported in 2020, the disease presents a danger to world health. With its potential to improve CRC management, artificial intelligence (AI) has become increasingly prominent in the medical field. This research attempts to evaluate the current status of AI applications in CRC diagnosis and treatment, considering regional differences in healthcare systems and populations. Methodology: On databases like ScienceDirect, Google Scholar, and PubMed, a systematic literature evaluation was carried out using search phrases including "artificial intelligence," "colorectal cancer," "diagnosis," and "treatment." English-language research on AI applications in CRC diagnosis and treatment that were published during the previous five years met the inclusion criteria. Results: Endoscopic, non-invasive, histological, and radiographic techniques are among the AI applications used in CRC diagnosis. Prognostic forecasts, diagnostic accuracy, and tumor segmentation are all significantly enhanced by AI. AI helps with targeted therapy and chemoradiotherapy decision-making, improves surgical accuracy, and helps with personalized regimens. Conclusion: The use of AI in colorectal cancer management has the potential for timely identification, precise diagnosis, and customized care. Continuous developments in AI algorithms and clinical data support the development of precision medicine, which offers significant gains in CRC treatment and detection.