Purpose: Clinical registries are used for quality management and clinical research. Due to the importance and implications of both aims, completeness and high quality of data are of paramount importance. However, this remains uncertain, as none of these registries have implemented independent monitoring. The aim of this study was to determine the accuracy and completeness of registry data o the example of the German Spine Society (DWG) registry.
Methods: In a prospective study, audits by a board-certified neurosurgeon were conducted at certified spine centers with mandatory registry input, a setting comparable to most existing registries worldwide. A 2-week period was analyzed, and any discrepancy between patients' charts and the registry entry was evaluated. A median of 31 items per patient was evaluated including completeness and accuracy of data.
Results: Out of 17 centers willing to participate, 4 were still lacking any data entries. Even in the remaining 13 centers eligible for audits, 28.50% (95%-CI = [22.46-34.55]) of entries were finalized only after the audits were announced. Only 82.55% (95%-CI = [79.12-85.98]) of surgeries were documented, and on average 14.95% (95%-CI = [10.93-19.00]) of entries were not accurate with a wide variation (range; 6.21-27.44%) between centers. Aspects for improvement of the situation were identified.
Conclusion: Due to the high inaccuracy, the high number of centers lacking mandatory entries at all and the number of false entries, these data alert us to advocate unannounced audits and further measures to improve the situation. Data should not be used for the time being, since wrong conclusion will be drawn. These slides can be retrieved under Electronic Supplementary Material.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00586-020-06342-6 | DOI Listing |
Eur J Nucl Med Mol Imaging
January 2025
Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, Otfried-Mueller-Str. 14, 72076, Tuebingen, Germany.
Purpose: Somatostatin receptor (SSTR)-PET is crucial for effective treatment stratification of neuroendocrine neoplasms (NENs). In highly proliferating or poorly differentiated NENs, dual-tracer approaches using additional [F]FDG PET can effectively identify SSTR-negative disease, usually requiring separate imaging sessions. We evaluated the feasibility of a one-day dual-tracer imaging protocol with a low activity [F]FDG PET followed by an SSTR-PET using the recently introduced [F]SiFAlin-TATE tracer in a long axial field-of-view (LAFOV) PET/CT scanner and its implications in patient management.
View Article and Find Full Text PDFJ Insect Sci
January 2025
ZooLab, Department of Biodiversity and Ecology, Plant Science and Biodiversity Centre, Slovak Academy of Sciences, Bratislava, Slovakia.
Mitochondrial genomes are a rich source of data for various downstream analyses such as population genetics, phylogeny, and systematics. Today it is possible to assemble rapidly large numbers of mitogenomes, mainly employing next-generation sequencing and third-generation sequencing. However, verification of the correctness of the generated sequences is often lacking, especially for noncoding, length-variable parts.
View Article and Find Full Text PDFAnal Chem
January 2025
Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China.
Field analysis of heavy metals in biological samples is essential for assessing their potential threats to human health. The development of portable pretreatment and detection devices is crucial to address this challenge. Herein, a magnetic field-accelerated nonthermal plasma digestion device using dielectric barrier discharge (DBD) is designed for the rapid and environmentally friendly pretreatment of biological samples and subsequently combined with point discharge-optical emission spectrometry (PD-OES) for sensitive determination of heavy metals.
View Article and Find Full Text PDFFront Oncol
December 2024
Gynecologic Oncology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Background: Ovarian cancer (OC) represents a common neoplasm within the female reproductive tract. The prognosis for patients diagnosed at advanced stages is unfavorable, primarily attributable to the absence of reliable screening markers for early detection. An elevated neutrophil-to-lymphocyte ratio (NLR) serves as an indicator of host inflammatory response and has been linked to poorer overall survival (OS) across various cancer types; however, its examination in OC remains limited.
View Article and Find Full Text PDFFront Neurol
January 2025
Department of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Objective: To develop and validate an explainable machine learning (ML) model predicting the risk of hemorrhagic transformation (HT) after intravenous thrombolysis.
Methods: We retrospectively enrolled patients who received intravenous tissue plasminogen activator (IV-tPA) thrombolysis within 4.5 h after symptom onset to form the original modeling cohort.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!