The efficacy of immune checkpoint inhibitors on low PD-L1 cervical cancer: A meta-analysis.

Background And Aims: The effectiveness of immune checkpoint inhibitors (ICIs) in low programmed death ligand 1 (PD-L1) expression in cervical cancer (CC) patients remains unknown. We aimed to evaluate the efficacy of ICIs in low PD-L1 expression CC patients.

Methods: The study is an individual patient data (IPD)-based meta-analysis.

The Construction and Validation of Nomogram to Predict the Prognosis with Small-Cell Lung Cancer Followed Surgery.

This study constructed and validated a prognostic model to evaluate the survival of small-cell lung cancer (SCLC) patients following surgery, and shed light on the strategy of postoperative radiotherapy. A total of 882 patients from Shanghai Pulmonary Hospital and the Surveillance, Epidemiology and End Results database after lung resection were selected. Multivariable Cox analysis was used to identify the indicators affecting long-term survival in patients.

A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIB.

In this study, we aim to establish a nomogram to predict the prognosis of non-small cell lung cancer (NSCLC) patients with stage I-IIIB disease after pneumonectomy. Patients selected from the Surveillance, Epidemiology, and End Results (SEER, = 2,373) database were divided into two cohorts, namely a training cohort (SEER-T, = 1,196) and an internal validation cohort (SEER-V, = 1,177). Two cohorts were dichotomized into low- and high-risk subgroups by the optimal risk prognostic score (PS).

Clinical and Pathologic Feature of Patients With Early Versus Late Active Antibody-Mediated Rejection After Kidney Transplantation: A Single-Center Experience.

Objective: Active antibody-mediated rejection (aABMR), particularly late aABMR, remains a major challenge for long-term renal allograft survival. This single-center retrospective study aimed to compare clinical features between early vs late aABMR and to identify risk factors for allograft failure among patients with aABMR.

Method: Forty-one patients diagnosed with aABMR at our hospital were included and were divided into 2 groups: early aABMR (≤6 months; n = 10) vs late aABMR (>6 months; n = 31) based on the time from transplant to diagnosis.