Abstract C003: Sociodemographic and clinical characteristics associated with worst pain intensity among cancer patients

Author(s):  
Verlin Joseph ◽  
Keesha Roach ◽  
Staja Booker ◽  
Jinhai Huo ◽  
Yingwei Yao ◽  
...  
Author(s):  
Junnan Liang ◽  
Guannan Jin ◽  
Tongtong Liu ◽  
Jingyuan Wen ◽  
Ganxun Li ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. e033461
Author(s):  
Kyeore Bae ◽  
Si Yeon Song

IntroductionAromatase inhibitor-induced arthralgia (AIA) is a major adverse event of aromatase inhibitors (AIs) and leads to premature discontinuation of AI therapy in breast cancer patients. The objective of this protocol for a systematic review and network meta-analysis (NMA) is to provide the methodology to compare the change in pain intensity between different AIA treatments and demonstrate the rank probabilities for different treatments by combining all available direct and indirect evidence.Methods and analysisPubMed, the Cochrane Controlled Register of Trials (CENTRAL), EMBASE, Web of Science and ClinicalTrials.gov will be searched to identify publications in English from inception to November 2019. We will include randomised controlled trials (RCTs) assessing the effects of different treatments for AIA in postmenopausal women with stage 0–III hormone receptor-positive breast cancer. The primary endpoints will be the change in patient-reported pain intensity from baseline to post-treatment. The number of adverse events will be presented as a secondary outcome.Both pairwise meta-analysis and NMA with the Frequentist approach will be conducted. We will demonstrate summary estimates with forest plots in meta-analysis and direct and mixed evidence with a ranking of the treatments as the P-score in NMA. The revised Cochrane risk-of-bias tool for randomised trials will be used to assess the methodological quality within individual RCTs. The quality of evidence will be assessed.Ethics and disseminationAs this review does not involve individual patients, ethical approval is not required. The results of this systematic review and NMA will be published in a peer-reviewed journal. This review will provide valuable information on AIA therapeutic options for clinicians, health practitioners and breast cancer survivors.PROSPERO registration numberCRD42019136967.


2012 ◽  
Vol 29 (1) ◽  
pp. 93-97 ◽  
Author(s):  
Sebastiano Mercadante ◽  
Claudio Adile ◽  
Riccardo Torta ◽  
Antonella Varetto ◽  
Fabio Fulfaro ◽  
...  

2015 ◽  
Vol 20 (6) ◽  
pp. 293-299 ◽  
Author(s):  
Eun-Kee Song ◽  
Hyunjeong Shim ◽  
Hye-Suk Han ◽  
DerSheng Sun ◽  
Soon-Il Lee ◽  
...  

BACKGROUND: Osmotic release oral system (OROS®) hydromorphone is a potent, long-acting opioid analgesic, effective and safe for controlling cancer pain in patients who have received other strong opioids. To date, few studies have examined the efficacy of hydromorphone for pain relief in opioid-naive cancer patients.OBJECTIVES: A prospective, open-label, multicentre trial was conducted to determine the efficacy and tolerability of OROS hydromorphone as a single and front-line opioid therapy for patients experiencing moderate to severe cancer pain.METHODS: OROS hydromorphone was administered to patients who had not previously received strong, long-acting opioids. The baseline evaluation (visit 1) was followed by two evaluations (visits 2 and 3) performed two and 14 weeks later, respectively. The starting dose of OROS hydromorphone was 4 mg/day and was increased every two days when pain control was insufficient. Immediate-release hydromorphone was the only accepted alternative strong opioid for relief of breakthrough pain. The efficacy, safety and tolerability of OROS hydromorphone, including the effects on quality of life, and patients’ and investigators’ global impressions on pain relief were evaluated. The primary end point was pain intensity difference (PID) at visit 2 relative to visit 1 (expressed as %PID).RESULTS: A total of 107 patients were enrolled in the present study. An improvement in pain intensity of >50% (≥50% PID) was observed in 51.0% of the full analysis set and 58.6% of the per-protocol set. The mean pain score, measured using a numerical rating scale, was significantly reduced after two weeks of treatment, and most adverse events were manageable. Quality of life also improved, and >70% of patients and investigators were satisfied with the treatment.CONCLUSIONS: OROS hydromorphone provided effective pain relief and improved quality of life in opioid-naive cancer patients. As a single and front-line treatment, OROS hydromorphone delivered rapid pain control.


2007 ◽  
Vol 10 (4) ◽  
pp. 263 ◽  
Author(s):  
Sang Hee Jung ◽  
Seung Soo Kwak ◽  
Seong Chul Kim ◽  
Moon Ki Park ◽  
Gun Seok Lee ◽  
...  

Author(s):  
Ru-ru Zheng ◽  
Meng-ting Cai ◽  
Li Lan ◽  
Xiao Wan Huang ◽  
Yun Jun Yang ◽  
...  

Objectives: To investigate the prognostic role of Magnetic Resonance Imaging (MRI) based radiomics signature and clinical characteristics for overall survival (OS) and disease-free survival (DFS) in the early-stage cervical cancer. Methods: A total of 207 cervical cancer patients (training cohort: n = 144; validation cohort: n = 63) were enrolled. 792 radiomics features were extracted from T2-weighted (T2W) and diffusion weighted imaging (DWI). 19 clinicopathological parameters were collected from the electronic medical record system. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to select significant features to construct prognostic model for OS and DFS. Kaplan-Meier (KM) analysis and log-rank test were applied to identify the association between the radiomics score (Rad-score) and survival time. Nomogram discrimination and calibration were evaluated as well. Associations between radiomics features and clinical parameters were investigated by heatmaps. Results: A radiomics signature derived from joint T2W and DWI images showed better prognostic performance than that from either T2W or DWI image alone. Higher Rad-score was associated with worse OS (p < 0.05) and DFS (p < 0.05) in the training and validation set. The joint models outperformed both radiomics model and clinicopathological model alone for 3 year OS and DFS estimation. The calibration curves reached an agreement. Heatmap analysis demonstrated significant associations between radiomics features and clinical characteristics. Conclusions: The MRI-based radiomics nomogram showed a good performance on survival prediction for the OS and DFS in the early-stage cervical cancer. The prediction of the prognostic models could be improved by combining with clinical characteristics, suggesting its potential for clinical application. Advances in knowledge: This is the first study to build the radiomics-derived models based on T2W and DWI images for the prediction of survival outcomes on the early stage cervical cancer patients, and further construct a combined risk scoring system incorporating the clinical features.


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