Aim: To establish a novel systemic inflammatory score (SIS) combined with neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein/albumin ratio (CAR) and to validate its prognostic value and relation with serum cytokine levels in patients who underwent esophagectomy for esophageal cancer (EC).
Patients And Methods: Preoperative NLR, PLR, and CAR were evaluated in 102 patients undergoing esophageal resection for EC from 2009 to 2014. Receiver operating characteristic (ROC) curves censored for 5-year survival were plotted to determine the cutoff values of each measure. Each measure was scored 1 if it was above the cutoff value (NLR >3.12, PLR >230, and CAR >0.085) and scored 0 if it was below that. The SIS was defined as the sum of these values and was divided into the two groups: High SIS (SIS=2-3) and low SIS (SIS=0-1). Univariate and multivariate analyses were used to determine the prognostic significance. The area under the ROCs (AUROC) was compared to verify the discriminative power of survival prediction. In addition, we analyzed the relationship between SIS and perioperative serum interleukin (IL)-6 and IL-10 levels.
Results: In the clinicopathological findings, only tumor depth was significantly related to SIS (p=0.004). At 0.732, the AUROC of SIS was the highest (NLR=0.618, PLR=0.545), and CAR=0.712). The high-SIS group had a significantly poorer prognosis than the low-SIS group (p=0.011). SIS was identified as an independent prognostic factor in the multivariate analysis (hazard ratio=1.96, 95% confidence intervaI=1.11-3.41, p=0.020). The preoperative serum interleukin-6 level was significantly low (p=0.046) and postoperative serum interleukin-10 level was significantly high in the high-SIS group (p=0.047).
Conclusion: SIS was a superior predictor of prognosis compared with existing immunoinflammatory markers and closely reflected the fluctuation of peripheral inflammatory cytokines in patients with EC.
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http://dx.doi.org/10.21873/invivo.12218 | DOI Listing |
Mol Biomed
January 2025
Department of Artificial Intelligence and Machine Learning, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research (Deemed to Be University), Wardha, Maharashtra, 442001, India.
Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide landscape of pandemic response. This review investigates the multidimensional role of AI in the pandemic, which arises as a global health crisis, and its role in preparedness and responses, ranging from enhanced epidemiological modelling to the acceleration of vaccine development. The confluence of AI technologies has guided us in a new era of data-driven decision-making, revolutionizing our ability to anticipate, mitigate, and treat infectious illnesses.
View Article and Find Full Text PDFBMC Oral Health
December 2024
Department of Stomatology, General Hospital of Northern Theater Command, Shenyang City, 110016, Liaoning, People's Republic of China.
Objective: Based on the critical role of implant length and placement timing in treatment success, this study aimed to compare clinical outcomes (implant failure, marginal bone loss, biological and mechanical complications) between short implants (4-8 mm) versus long implants (≥ 8 mm) with sinus floor elevation, and between delayed versus immediate placement of long implants in the posterior maxilla.
Methods: This network meta-analysis was prospectively registered in the PROSPERO database (CRD42023495027). Adhering to PRISMA-NMA guidelines, we systematically reviewed eligible studies from January 2014 to November 2024 was conducted across major databases, such as the Cochrane Library, PubMed, Embase, Scopus and Web of Science.
Br J Oral Maxillofac Surg
November 2024
Center for Craniofacial Regeneration, Department of Oral and Craniofacial Sciences, University of Pittsburgh School of Dental Medicine, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address:
A state-of-the-art scaffold capable of efficiently reconstructing the temporomandibular joint (TMJ) disc after discectomy remains elusive. The major challenge has been to identify a degradable scaffold that remodels into TMJ disc-like tissue, and prevents increased joint pathology, among other significant complications. Tissue engineering research provides a foundation for promising approaches towards the creation of successful implants/scaffolds that aim to restore the disc.
View Article and Find Full Text PDFAm J Orthod Dentofacial Orthop
December 2024
Discipline of Orthodontics, School of Dentistry, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Department of Orthodontics, Sydney Dental Hospital, Sydney Local Health District, Sydney, Australia; Division of Orthodontics, University Clinics of Dental Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland. Electronic address:
Introduction: The dentoskeletal effects of clear aligner treatment (CAT) with Invisalign vs temporary skeletal anchorage device-anchored Sydney intrusion spring (SIS) were compared in consecutively treated growing patients with anterior open bite using cone-beam computed tomography scans.
Methods: Fifteen adolescents treated exclusively with Invisalign, and 14 with SIS (first-phase treatment) were assessed retrospectively. Rigid-wise, voxel-based registration of pretreatment and posttreatment cone-beam computed tomography scans were performed using the anterior cranial base, maxillary plane, and mandibular body as reference regions.
Theor Popul Biol
December 2024
Cornell University, Department of Computational Biology, 102 Tower Rd, Ithaca, 14850, NY, USA.
Ordinary differential equation models such as the classical SIR model are widely used in epidemiology to study and predict infectious disease dynamics. However, these models typically assume that populations are homogeneously mixed, ignoring possible variations in disease prevalence due to spatial heterogeneity. To address this issue, reaction-diffusion models have been proposed as an alternative approach to modeling spatially continuous populations in which individuals move in a diffusive manner.
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