A pilot study has been carried out to evaluate women's compliance to a screening program for cervical cancer. The study, initiated in 1994, was performed in conjunction with the ACRO project of the CNR by the Italian National Health Institute, in collaboration with La Sapienza University of Rome and the National Institute for Cancer Research in Genoa. A preliminary telephone survey was carried out on a sample of 400 women (200 in Rome and 200 in Genoa) to assess, among other factors, their attitude towards the screening program. Afterwards, an ad hoc advertising campaign was launched and 21,827 women, randomly chosen from the register office's lists, were sent a personal invitation to participate in the screening. Most women showed interest in attending the screening program at the interview, but the percentages of participation were low (25.7% in Genoa and 27.3% in Rome). On the other hand, a high percentage of women who participated in the screening had already had a Pap test in the previous three years (Genoa, 73%; Rome, 76%). The recruiting techniques that were used in this study, and that are commonly used, do not seem to reach the core of the target population for cervical screening, i.e. women who have never had a Pap test or who had a Pap test more than 5 years earlier. New methods of recruiting aimed at categories at risk and based more on direct contacts need to be developed.
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DNA Repair (Amst)
January 2025
Cancer Cytogenomic Laboratory, Center for Research and Drug Development (NPDM), Federal University of Ceara, Fortaleza, Ceara, Brazil; Post-Graduate Program in Medical Science, Federal University of Ceara, Fortaleza, Ceara, Brazil; Post-Graduate Program of Pathology, Federal University of Ceara, Fortaleza, Ceara, Fortaleza, Ceara, Brazil; Post-Graduate Program of Translational Medicine, Federal University of Ceara, Fortaleza, Ceara, Brazil.
Myelodysplastic Neoplasm (MDS) is a cancer associated with aging, often leading to acute myeloid leukemia (AML). One of its hallmarks is hypermethylation, particularly in genes responsible for DNA repair. This study aimed to evaluate the methylation and mutation status of DNA repair genes (single-strand - XPA, XPC, XPG, CSA, CSB and double-strand - ATM, BRCA1, BRCA2, LIG4, RAD51) in MDS across three patient cohorts (Cohort A-56, Cohort B-100, Cohort C-76), using methods like pyrosequencing, real-time PCR, immunohistochemistry, and mutation screening.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Cystic Fibrosis Center, Department of Internal Medicine, Hospices Civils de Lyon, Research on Healthcare Performance U1290 Inserm, Lyon 1 University, Lyon, France.
Background: Diabetes affects half of the patients with cystic fibrosis who are aged 30 years and older. Diabetes progresses asymptomatically over a long period of time. Two treatment options are possible: start insulin as soon as cystic fibrosis diagnosis is made with the additional constraints of cystic fibrosis or wait while monitoring the patient's clinical condition and start insulin when diabetes symptoms develop and therefore later.
View Article and Find Full Text PDFJCO Precis Oncol
January 2025
Medical Research Service, Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN.
Purpose: Considerable genetic heterogeneity is currently thought to underlie hereditary prostate cancer (HPC). Most families meeting criteria for HPC cannot be attributed to currently known pathogenic variants.
Methods: To discover pathogenic variants predisposing to prostate cancer, we conducted a familial case-control association study using both genome-wide single-allele and identity-by-descent analytic approaches.
J Trauma Acute Care Surg
January 2025
From the Division of Acute Care Surgery, Department of Surgery (M.S., M.J.M.), Los Angeles General Medical Center, Los Angeles; Division of Acute Care Surgery, Department of Surgery (R.C.), Loma Linda University School of Medicine, Loma Linda, California; Division of Acute Care Surgery, Department of Surgery (C.A.C.), University of Florida College of Medicine, Gainesville, Florida; Division of Acute Care Surgery, Department of Surgery (C.F.), University of Maryland School of Medicine, Baltimore, Maryland; Division of Acute Care Surgery, Department of Surgery (J.H.), University of Kansas Medical Center, Kansas City, Kansas; Division of Acute Care Surgery, Department of Surgery (N.K.), University of Arizona College of Medicine-Phoenix, Phoenix, Arizona; Division of Acute Care Surgery, Department of Surgery (M.L.), Methodist Dallas Medical Center, Dallas, Texas; Division of Vascular Surgery and Endovascular Therapy (G.A.M.), Keck Medical Center of USC, Los Angeles, California; Division of Acute Care Surgery, Department of Surgery (L.J.M.), The University of Texas McGovern Medical School-Houston Red Duke Trauma Institute, Memorial Hermann Hospital, Houston, Texas; Division of Acute Care Surgery, Department of Surgery (A.R.P.), Medical University of South Carolina, North Charleston, South Carolina; Division of Acute Care Surgery, Department of Surgery (K.M.S.), Yale School of Medicine, New Haven, Connecticut; UCSF Department of Surgery at Zuckerberg San Francisco General Hospital (R.T.), University of California, San Francisco, San Francisco, California; Division of Acute Care Surgery, Department of Surgery (J.A.W.), St. Joseph's Hospital and Medical Center, Phoenix, Arizona; and Program in Trauma (D.M.S.), University of Maryland School of Medicine, Baltimore, Maryland.
Purpose: This study explores uses of artificial intelligence (AI) in health professions education for non-psychomotor skills training at undergraduate, postgraduate, and continuing health professions education levels for education program development, delivery, and evaluation.
Method: This scoping review was conducted in 5 stages: (1) planning and research, (2) search strategy, (3) screening and selection, (4) review and recording data, and (5) synthesis. Seven bibliographic databases were searched using the main search terms artificial intelligence and continuing health professional education for articles that used AI for the purposes of non-psychomotor skills training for health professions education and involved health care professionals and/or trainees.
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