Publications by authors named "M K Erman"
The association between HALP score and survival in patients treated with immune checkpoint inhibitors.
Expert Rev Anticancer Ther
January 2025
Background: The hemoglobin, albumin, lymphocyte, and platelet (HALP) score could be a prognostic biomarker in patients with cancer as a reflector of nutritional and inflammatory status, although the data is limited in patients treated with immune-checkpoint inhibitors (ICIs). Therefore, we sought to investigate the relationship between HALP score and survival in ICI-treated patients.
Methods: We included adult patients with advanced cancer treated with ICIs between June 2016 and January 2024.
: A high baseline neutrophil-to-lymphocyte ratio (NLR) is a poor prognostic factor in various cancers. However, its predictive role in metastatic bladder cancer (mBC) treated with immunotherapy is unclear. In this study, we aimed to investigate the relationship between the baseline and change in NLR and overall survival in mBC patients treated with immunotherapy, with the potential to significantly impact patient care.
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- The study examined the impact of immunotherapy in renal patients with urothelial carcinoma, categorizing them based on their glomerular filtration rate (GFR).
- Results showed that patients with normal GFR had a higher overall response rate and longer duration of response compared to those with low and very low GFRs.
- The findings indicated that while normal GFR patients had better outcomes, immunotherapy still proved effective for patients with impaired renal function who lacked other treatment options.
Background: Despite initial dramatic responses, metastatic small cell lung cancer (SCLC) invariably recurs. Irinotecan is one of the active agents for patients with recurrent SCLC. In the second line, weekly or three-weekly irinotecan regimens have been adopted, however, the optimal dose and schedule is not defined.
View Article and Find Full Text PDFPandemics like COVID-19 have illuminated the significant disparities in the performance of national healthcare systems (NHCSs) during rapidly evolving crises. The challenge of comparing NHCS performance has been a difficult topic in the literature. To address this gap, our study introduces a bi-criteria longitudinal algorithm that merges fuzzy clustering with Data Envelopment Analysis (DEA).
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