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A considerable number of patients with angina undergo invasive coronary angiography, which might reveal non-obstructive coronary arteries (ANOCA). In this setting, they might have coronary microvascular disease (CMD). Its prevalence significantly varies in the literature. This systematic review aims to document the prevalence of CMD over time according to the diagnostic modalities. A systematic literature review was conducted using PubMed, the Cochrane Library, and Embase, covering publications from inception to 1 May 2024. Among 1471 identified articles, 297 full-text articles were assessed for eligibility. All studies reporting the prevalence of CMD in ANOCA patients based on invasive coronary artery (ICA), positron emission tomography-computed tomography (PET-CT), transthoracic echocardiography (TTE), or cardiac magnetic resonance (CMR) were included. The review included 53 studies (published between 1998 and 2024), encompassing a total of 16,602 patients. Of these studies, 23 used ICA, 15 used PET-CT, 8 used TTE, and 7 used CMR. A statistically significant increase in CMD prevalence over time was observed across all diagnostic modalities ( < 0.05), except for PET-CT, which showed a consistent and stable prevalence over time. Notably, the prevalence rates from all of the diagnostic methods converged towards the 50% prevalence detected by PET-CT. The prevalence of CMD in patients with ANOCA is subject to debate. However, the current data suggest that regardless of the diagnostic method used, the most recent studies tend to converge towards a prevalence value of 50%, which has been consistently reported by PET-CT from the beginning.
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http://dx.doi.org/10.3390/jcm14030829 | DOI Listing |
Int J Surg
September 2025
Department of Gynecology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Background: Ovarian cancer remains the most lethal gynecological cancer, with fewer than 50% of patients surviving more than five years after diagnosis. This study aimed to analyze the global epidemiological trends of ovarian cancer from 1990 to 2021 and also project its prevalence to 2050, providing insights into these evolving patterns and helping health policymakers use healthcare resources more effectively.
Methods: This study comprehensively analyzes the original data related to ovarian cancer from the GBD 2021 database, employing a variety of methods including descriptive analysis, correlation analysis, age-period-cohort (APC) analysis, decomposition analysis, predictive analysis, frontier analysis, and health inequality analysis.
Aust Vet J
September 2025
Small Animal Specialist Hospital, North Ryde, New South Wales, Australia.
Syringomyelia is a common and heritable disorder in Cavalier King Charles Spaniels (CKCS), characterised by fluid accumulation within the spinal cord that may result in pain and neurological dysfunction. The prevalence of syringomyelia in CKCS in Australia has not previously been reported. The goal of this study was to assess the prevalence and severity of syringomyelia in magnetic resonance imaging (MRI)-screened breeding CKCS in New South Wales, Australia, from 2008 to 2024, and to evaluate changes over time.
View Article and Find Full Text PDFWorld J Urol
September 2025
Uro-Oncology Program, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Purpose: We aimed to evaluate the impact of day- and night-time pad wetness on 2yrs-QoL after Radical Cystectomy (RC) with Orthotopic Neobladder (ON) from a Randomized Controlled Trial (RCT) aimed at comparing open RC (ORC) and Robot-Assisted RC (RARC) with intracorporeal (i) ON.
Methods: Between January 2018 and September 2020, 116 patients were enrolled. Data from self-assessed questionnaires (EORTC-QLQ-C30 and QLQ-BLM30) were collected.
Cancer Causes Control
September 2025
College of Public Health, Iowa Cancer Registry, Epidemiology Department, University of Iowa, Iowa City, IA, USA.
Purpose: Human papillomavirus (HPV) causes oral and anogenital cancers, the incidence of which is increasing. Late-stage diagnosis is associated with increased mortality. Neighborhood-level characteristics and distance to place of diagnosis may impact timely diagnosis.
View Article and Find Full Text PDFDrugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
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