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Identification of the immune-related diagnostic biomarkers between Graves' disease and thyroid carcinoma based on comprehensive bioinformatics analysis and machine learning.
Increasing evidence suggests that Graves' disease (GD) may increase the risk of thyroid cancer (THCA), but diagnostic biomarkers associated with it remain underexplored. To address this issue, we analyzed the Gene Expression Omnibus (GEO) a…
FULLTEXT: machine parameter optimization randomized -
Genetic relationships between the gut microbiota and prostate cancer: Mendelian randomization combined with bioinformatics analysis.
[BACKGROUND] Prostate cancer (PCa) is a leading cause of male cancer-related death globally. While the gut microbiota is linked to PCa, its genetic association remains unclear. [METHODS] We screened genetic instruments related to the gut m…
FULLTEXT: machine parameter optimization randomized -
Development and validation of machine learning prognostic models for overall survival in non-surgical prostate cancer patients with bone metastases.
[OBJECTIVE] To construct and interpret a machine learning model for predicting overall survival in nonsurgical prostate cancer with bone metastases (PCBM). [METHODS] Data from 3,378 SEER database patients were utilized to develop machine l…
FULLTEXT: machine parameter optimization randomized -
Trial Watch - bispecific T cell engagers and higher-order multispecific immunotherapeutics.
Over the past decades, cancer immunotherapy has evolved into clinical practice, with bispecific T cell engagers (TCEs) and other higher-order multispecific immunotherapeutics emerging as approaches for precision immune modulation. These eng…
FULLTEXT: machine parameter optimization randomized -
Advances in natural killer cell immunotherapy for hematologic malignancies.
Natural killer (NK) cells are a unique subset of cytotoxic lymphocytes within the innate immune system. They play a pivotal role in antiviral and antitumor immunity. NK cell-based adoptive immunotherapy has advanced rapidly in recent years.…
FULLTEXT: machine parameter optimization randomized -
Prolonged progression-free survival with zanubrutinib in relapsed/refractory CLL: an indirect treatment comparison versus other BTK inhibitors using multilevel network meta-regression.
[BACKGROUND] Bruton tyrosine kinase inhibitors (BTKis) are therapeutic agents for relapsed/refractory chronic lymphocytic leukemia (R/R CLL). Previous indirect treatment comparisons are limited in simultaneously comparing multiple intervent…
FULLTEXT: machine parameter optimization randomized -
The surgery for the patients with intestinal non‑Hodgkin lymphomas: a nationwide study.
[BACKGROUND] The treatment strategy for intestinal non-Hodgkin lymphoma (NHL) and the role of surgery warrant reevaluation. [METHODS] This study analyzed clinical data from a cohort of 12,047 patients diagnosed with intestinal NHL, extract…
FULLTEXT: machine parameter optimization randomized -
Neutrophil extracellular trap-related genes in PTCL: identification, prognosis and drug interaction prediction via bioinformatics-machine learning.
[OBJECTIVE] This study aimed to identify neutrophil extracellular trap-related genes (NET-RGs), explore their prognostic significance, and predict drug interactions in peripheral T-cell lymphoma (PTCL). [METHODS] Differentially expressed N…
FULLTEXT: machine parameter optimization randomized -
A Randomized Trial Evaluating Intraoperative Ischemic Preconditioning of Parathyroid Glands During Total Thyroidectomy: A Signal for Earlier Parathyroid Function Recovery.
[BACKGROUND] Ischemic preconditioning of parathyroid glands (IPCP) is biologically plausible but clinical evidence is limited. In this single-center randomized trial (ChiCTR2000039788), we compared IPCP versus control during total thyroidec…
FULLTEXT: machine parameter optimization randomized -
Comparison of the effects of exercise-based interventions on cardiometabolic health and fatigue in men with prostate cancer receiving androgen deprivation therapy: A network meta-analysis.
[OBJECTIVE] To compare the effects of exercise-based interventions on cardiometabolic health and fatigue in men with prostate cancer receiving androgen deprivation therapy (ADT). [METHODS] A comprehensive search for Randomized controlled s…
FULLTEXT: machine parameter optimization randomized -
Cost-effectiveness analysis of atezolizumab and bevacizumab as first-line systemic therapy in unresectable hepatocellular carcinoma in Malaysia.
[AIM] This study aims to evaluate the cost-effectiveness of atezolizumab plus bevacizumab as first-line systemic therapy for unresectable hepatocellular carcinoma (uHCC) in Malaysia, compared with the current standard treatments in the Mala…
FULLTEXT: machine parameter optimization randomized -
Impact of offering blood-based testing alongside existing modalities for colorectal cancer screening among those who previously declined screening: an economic evaluation.
[AIM] Inadequate adherence to colorectal cancer screening reduces individual and population level health benefits. Blood-based tests offer a new modality that may help patients overcome barriers, but there are concerns about the impact of p…
FULLTEXT: machine parameter optimization randomized -
DA-LUNGNET: a multi-stage deep framework with adaptive attention for early detection of subcentimeter pulmonary nodules.
Early and reliable detection of subcentimeter pulmonary nodules remains a major bottleneck in low-dose CT-based lung cancer screening due to high miss rates, vascular-adhesion-induced false positives, and insufficient multi-scale feature fu…
FULLTEXT: machine parameter optimization randomized -
Patient-reported outcomes with a personalized follow-up program after lung cancer resection: A single-center randomized controlled trial.
[OBJECTIVE] This study aims to determine the impact of PROM with a personalized follow-up program on the evaluation of quality of life and self-management for patients after lung cancer resection. [METHODS] Given a formal power calculation…
FULLTEXT: machine parameter optimization randomized -
Integrated machine learning risk model for predicting radiation pneumonitis in lung cancer patients with interstitial lung disease.
[BACKGROUND] Radiation pneumonitis (RP) is a serious complication in lung cancer patients with pre-existing interstitial lung disease (ILD) undergoing radiotherapy. Accurate risk stratification is crucial for individualized management. But …
FULLTEXT: machine parameter optimization randomized -
Cost-effectiveness of pembrolizumab plus chemotherapy for metastatic non-small cell lung cancer: a head-to-head trial vs. real-world comparison.
[OBJECTIVES] Real-world evidence (RWE) is increasingly used in health technology assessment (HTA) to address uncertainties surrounding the generalizability of randomized clinical trial (RCT) data. Pembrolizumab plus platinum-based chemother…
FULLTEXT: machine parameter optimization randomized -
Reforming the delivery of smoking cessation: a distributional cost-effectiveness analysis of providing smoking cessation as part of targeted lung cancer screening.
[BACKGROUND] Lung cancer is a leading cause of cancer death, and smoking-related disease is a major cause of health inequality in England, driven by increased prevalence of smoking in deprived areas. Integrating smoking cessation support in…
FULLTEXT: machine parameter optimization randomized -
Managing psychological distress in women with breast cancer: A systematic review of intervention trends in the past decade.
[OBJECTIVE] The rising incidence and survival rates of breast cancer have increased the number of breast cancer survivors (BCSs) experiencing psychological distress that often overlaps with anxiety, depression, and fear of recurrence. Many …
FULLTEXT: machine parameter optimization randomized -
A data fusion deep learning approach for accurate organelle-based classification of cancer cells.
[PURPOSE] Microscopy-based cancer cell classification traditionally relies on cell-based morphological features, while subcellular organelle organization remains underutilized. Existing machine learning methods often require manual preproce…
FULLTEXT: machine parameter optimization randomized -
A system dynamics modelling protocol to evaluate the impact of a health financing mechanism for breast cancer pharmacotherapies in Malaysia.
[INTRODUCTION] The rising cost of targeted breast cancer therapies challenges financial sustainability and equitable access in dual-tier health systems. In Malaysia, public cancer care is highly subsidized but budget constrained, shifting p…
FULLTEXT: machine parameter optimization randomized