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Function: _error_handler
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Function: insertAPISummary
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To predict leukemic transformation (LT), we evaluated easily detectable diagnostic parameters in 338 patients with primary myelofibrosis (PMF) followed in the Latium region (Italy) between 1981 and 2010. Forty patients (11.8%) progressed to leukemia, with a resulting 10-year leukemia-free survival (LFS) rates of 72%. Hb (<10g/dL), and circulating blasts (≥1%) were the only two independent prognostic for LT at the multivariate analysis. Two hundred-fifty patients with both the two parameters available were grouped as follows: low risk (none or one factor)=216 patients; high risk (both factors)=31 patients. The median LFS times were 269 and 45 months for the low and high-risk groups, respectively (P<.0001). The LT predictive power of these two parameters was confirmed in an external series of 270 PMF patients from Tuscany, in whom the median LFS was not reached and 61 months for the low and high risk groups, respectively (P<.0001). These results establish anemia and circulating blasts, two easily and universally available parameters, as strong predictors of LT in PMF and may help to improve prognostic stratification of these patients particularly in countries with low resources where more sophisticated molecular testing is unavailable.
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http://dx.doi.org/10.1016/j.leukres.2015.01.001 | DOI Listing |
Ann Ital Chir
December 2024
Department of General Surgery, Izmir Katip Celebi University, Atatürk Education and Research Hospital, 35620 Izmir, Turkey.
Aim: Breast cancer is the most common cancer in women and is a leading cause of cancer-related mortality. The role of neoadjuvant therapy (NAT) in conjunction with surgical intervention is becoming increasingly prominent in the field of oncology. NAT enhance the probability of breast-conserving surgery in cases of locally advanced breast cancer and in patients with metastatic or inoperable disease.
View Article and Find Full Text PDFAnn Ital Chir
December 2024
Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225002 Yangzhou, Jiangsu, China.
Aim: Intraoperative lung-protective ventilation strategies (LPVS) have been shown to improve lung oxygenation and prevent postoperative pulmonary problems in surgical patients. However, the application of positive end-expiratory pressure (PEEP)-based LPVS in emergency traumatic brain injury (TBI) has not been thoroughly explored. The purpose of this study is to evaluate the effects of drive pressure-guided individualized PEEP on perioperative pulmonary oxygenation, postoperative pulmonary complications, and recovery from neurological injury in patients with TBI.
View Article and Find Full Text PDFAnn Ital Chir
December 2024
Endocrine Tumor Intervention Department, Jinan Central Hospital, Central Hospital Affiliated to Shandong First Medical University, 250013 Jinan, Shandong, China.
Aim: Prostate cancer (PCa) is a common malignant tumor in men. This study aimed to explore the predictive value of serum biomarkers combined with ultrasound parameters for postoperative Gleason grading in PCa.
Methods: This study included 65 PCa patients who underwent transurethral resection of the prostate in our hospital from January 2021 to December 2023.
Ann Ital Chir
December 2024
Department of Anesthesiology & Key Laboratory of Clinical Science and Research, Zhongda Hospital, Southeast University, 210009 Nanjing, Jiangsu, China.
Aim: Postoperative delirium (POD) is a common complication with significant adverse effects in elderly patients. Electroencephalography (EEG) provides a promising approach for predicting the risk of POD. This study aims to elucidate the correlation between intraoperative EEG spectrum and the incidence of POD in elderly patients undergoing orthopedic surgery.
View Article and Find Full Text PDFJ Biopharm Stat
December 2024
Department of Biostatistics, University of Veterinary Medicine Budapest, Budapest, Hungary.
In recent years, an increasing number of publications on the analysis of binary data have applied methods that take misclassification into account. However, potential misclassification is often ignored in study design due to the lack of sample size formulas or software. This may lead to a considerable loss of power in studies that only account for misclassification at the analysis stage.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!