The connection between lymph node (LN) metastases in papillary thyroid carcinoma (PTC) and chronic lymphocytic thyroiditis (CLT) has been examined in a number of prior investigations. However, there is ongoing debate over the effect of CLT on LN metastasis in PTC. In order to explain the relationship between CLT and LN metastasis more convincingly, we aimed to retrospectively review clinical data to investigate the correlation between CLT and LN metastasis in PTC using propensity score matching (PSM). Data on PTC patients at Wenzhou Central Hospital were collected retrospectively between 1 January 2018, and 31 March 2022. The patients were split into two groups based on whether they had CLT or not. The clinicopathological characteristics of the two groups were compared using a PSM analysis. The relationship between CLT and LN metastases was analyzed using logistic regression analysis. Among the 773 PTC patients collected and examined, 213 showed simultaneous CLT. Prior to PSM, patients with CLT displayed a significantly lower incidence of LN metastasis (34.3% VS 44.8%, = 0.008), a lower metastatic LN ratio (0 (0, 0.17) VS 0 (0, 0.38), = 0.011), and a greater number of LNs dissected (7 (5, 11) VS 5 (3, 7), < 0.001). These differences persisted after the PSM of 208 pairs. After PSM, patients with CLT displayed a significantly lower incidence of LN metastasis (35.0% VS 44.7%, = 0.045), a lower metastatic LN ratio (0 (0, 0.17) VS 0 (0, 0.33), = 0.038), and a higher number of dissected LNs (7 (5, 11) VS 5 (3, 7), ≤ 0.001). Additionally, the multivariate logistic regression analysis indicated that CLT had a protective role against LN metastasis in both the matched group (odds ratio (OR), 0.62; 95% confidence interval (CI): 0.39-0.96; = 0.032) and the unmatched group (OR, 0.63; 95% CI: 0.44-0.91; = 0.014). Our data indicate that CLT may protect against LN metastases in patients with PTC. Patients having PTC with coexisting CLT have fewer LN metastases, a greater number of LNs dissected, and a lower metastatic LN ratio.
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http://dx.doi.org/10.12968/hmed.2024.0235 | DOI Listing |
IEEE Trans Inf Theory
December 2024
Department of CISE, University of Florida, Gainesville, FL 32611 USA.
Distributional approximation is a fundamental problem in machine learning with numerous applications across all fields of science and engineering and beyond. The key challenge in most approximation methods is the need to tackle the intractable normalization constant present in the candidate distributions used to model the data. This intractability is especially common for distributions of manifold-valued random variables such as rotation matrices, orthogonal matrices etc.
View Article and Find Full Text PDFACS Pharmacol Transl Sci
December 2024
Research and Development and Technology Transfer, Eurofins DiscoverX, LLC, 11180 Roselle Street Suite D, San Diego, California 92121, United States.
KRAS is an important oncogenic driver which is mutated in numerous cancers. Recent advances in the selective targeting of KRAS mutants via small molecule inhibitors and targeted protein degraders have generated an increase in research activity in this area in recent years. As such, there is a need for new assay platforms to profile next generation inhibitors which improve on the potency and selectivity of existing drug candidates, while evading the emergence of resistance.
View Article and Find Full Text PDFGen Thorac Cardiovasc Surg
December 2024
Department of Thoracic Surgery, Kyoto University, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Objectives: Generally, HLA matching between donors and recipients is not performed in lung transplantation (LTx). Therefore, whether HLA mismatch between donors and recipients (D/R mismatch) influences postoperative outcomes after LTx remains uncertain. In this study, we investigated the influence of D/R mismatch on postoperative outcomes after cadaveric LTx (CLT).
View Article and Find Full Text PDFQ J Exp Psychol (Hove)
December 2024
School of Psychology, University of Kent, Canterbury, UK.
There is evidence to suggest that variations in difficulty during learning can moderate long-term retention. However, the direction of this effect is under contention throughout the literature. According to both the Desirable Difficulties Framework (DDF) and the Retrieval Effort Hypothesis (REH), difficulty (thus relative effort) during retrieval-based learning can help achieve superior long-term retention.
View Article and Find Full Text PDFJ Exp Psychol Gen
December 2024
School of Psychology, UNSW Sydney.
Do people change their preferences when they are offered the same risky lotteries at different times (now vs. the future)? Construal level theory (CLT) suggests that people do because our mental representation of events is moderated by how near or distant such events are in time. According to CLT, in the domain of risk preferences, psychological distance causes payoffs and probabilities to be differentially weighted or attended between present and future timepoints: Temporal distance increases the influence of payoffs and decreases the influence of probabilities.
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