Accordingly with the new tendency of employing Rast Units (RU) instead of Rast Classes (RC) in the specific-IgE testing field, is necessary that internal Quality Control (QC) and external Quality Assessment (QA) programmes take account of these RU. So far only few experiences of controlling and assessing the quality concerned with RU, have been carried out. In Italy, a National QA-scheme organised by the National Health Institute (ISS) and the National Research Council (CNR), which involves about 90 laboratories, is starting just now, and a commercial QA programme (Galileo), started in 1989, by now is the only one which helped valuate each laboratory's performance for specific-IgE assays. The results collected in a 12 months period were elaborated in different ways as they were expressed in RC or in RU and the trial confirms that the specific-IgE testing field is still far from reaching the reliability already established for other assays. So we hope the National and the Galileo schemes will help stimulate major improvements in internal precision and in between-laboratories agreement.
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Langenbecks Arch Surg
January 2025
Department of General Surgery, Gansu Provincial Hospital, Lanzhou, 730000, China.
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January 2025
Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
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BMC Musculoskelet Disord
January 2025
Department of Acupuncture and Moxibustion, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Background: Patients with vertebral compression fractures may experience unpredictable residual pain following vertebral augmentation. Clinical prediction models have shown potential for early prevention and intervention of such residual pain. However, studies focusing on the quality and accuracy of these prediction models are lacking.
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January 2025
Department of Oncology, McGill University, Montreal, QC, H3A 0G4, Canada.
Objectives: The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of great importance for more effective treatment. Encouraged by the key role of imaging in the management of RCC, we conducted a systematic review and meta-analysis of the studies that made use of artificial intelligence (AI) for the detection of RCC to quantitatively determine the performance of AI for distinguishing related renal lesions.
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BMC Cancer
January 2025
Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands.
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