The study describes breast cancer survival of 75 interval cancer cases (cancer occurring within 2 years of a negative screen) detected in women who participated in the DOM screening programme. After mammographic revision, this group was divided into 17 so-called 'missed' cases and 58 'true' interval cases. Ten year survival of these 58 'true' interval cases was 58%, which was not significantly different from that of 219 cancers detected in a non-screened, control group of women, diagnosed with breast cancer before the start of screening (63%; log rank chi 2 test, P = 0.98). Results remained essentially the same after correction for age at diagnosis, tumour size, axillary status and year of diagnosis. Ten year survival of 'true' interval cancers (58%) was slightly worse than that of 'missed' cases (67%; log rank chi 2 test: P = 0.38). This difference could largely be explained by differences in tumour size and axillary status. We conclude that there was no important difference in survival between 'true' interval cancers and non-screened historical controls. This could mean that either this subgroup of interval cancers does not constitute an excess of rapidly growing tumours, or if it does, that a fast growth rate is not associated with an exceptionally poor prognosis.
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http://dx.doi.org/10.1016/0959-8049(95)00324-c | DOI Listing |
PLoS Med
January 2025
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Background: Nirmatrelvir with ritonavir (Paxlovid) is indicated for patients with Coronavirus Disease 2019 (COVID-19) who are at risk for progression to severe disease due to the presence of one or more risk factors. Millions of treatment courses have been prescribed in the United States alone. Paxlovid was highly effective at preventing hospitalization and death in clinical trials.
View Article and Find Full Text PDFCochrane Database Syst Rev
January 2025
School of Medical Sciences, Department of Metabolism and Systems Science, WHO Collaborating Centre for Global Women's Health Research, University of Birmingham, Birmingham, UK.
Background: Postpartum haemorrhage (PPH) is the leading cause of maternal mortality worldwide. Accurate diagnosis of PPH can prevent adverse outcomes by enabling early treatment.
Objectives: What is the accuracy of methods (index tests) for diagnosing primary PPH (blood loss ≥ 500 mL in the first 24 hours after birth) and severe primary PPH (blood loss ≥ 1000 mL in the first 24 hours after birth) (target conditions) in women giving birth vaginally (participants) compared to weighed blood loss measurement or other objective measurements of blood loss (reference standards)?
Search Methods: We searched CENTRAL, MEDLINE, Embase, Web of Science Core Collection, ClinicalTrials.
PLoS One
January 2025
Department of Mathematics, University of Maryland, College Park, Maryland, United States of America.
1. Analysis of co-occurrence data with traditional indices has led to many problems such as sensitivity of the indices to prevalence and the same value representing either a strong positive or strong negative association across different datasets. In our recent study (Mainali et al 2022), we revealed the source of the problems that make the traditional indices fundamentally flawed and unreliable-namely that the indices in common use have no target of estimation quantifying degree of association in the non-null case-and we further developed a novel parameter of association, alpha, with complete formulation of the null distribution for estimating the mechanism of affinity.
View Article and Find Full Text PDFParasit Vectors
January 2025
Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Ramat, Thailand.
Background: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is proposed for mosquito species identification. The absence of public repositories sharing mass spectra and open-source data analysis pipelines for fingerprint matching to mosquito species limits the widespread use of this technology. The objective of this study was to develop a free open-source data analysis pipeline for Anopheles species identification with MALDI-TOF MS.
View Article and Find Full Text PDFJ Endod
January 2025
Department of Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
Introduction: Artificial intelligence models have shown potential as educational tools in healthcare, such as answering exam questions. This study aimed to assess the performance of four prominent chatbots: ChatGPT-4o, MedGebra GPT4o, Meta LIama 3, and Gemini Advanced in answering multiple-choice questions (MCQs) in endodontics.
Methods: The study utilized 100 MCQs each with 4 potential answers.
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