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749
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Dataset results
749 results for “cancer pain”
STAMP+CBT mHealth for Cancer Pain
ClinicalTrials.gov study NCT05403801. IPD Sharing: YES. Countries: 1. Publications: 1.
Evaluation of Medical Cannabis and Prescription Opioid Taper Support for Reduction of Pain and Opioid Dose in Patients With Chronic Non-Cancer Pain
ClinicalTrials.gov study NCT04827992. IPD Sharing: YES. Countries: 1. Publications: 1.
Self-Management Interventions for Chronic Pain Relief With Cancer Survivors
ClinicalTrials.gov study NCT03867760. IPD Sharing: YES. Countries: 1. Publications: 1.
Satisfaction with Telemedicine for Cancer Pain Management: A Model of Care and Cross-Sectional Patient Satisfaction Study
<p>Background: Since cancer pain requires complex modalities of care, the proper strategy for addressing its telemedicine-based management should be better defined. This study aimed to trace a pathway for a progressive implementation of the telemedicine process for the treatment of pain in the setting of cancer patients. Methods: The features of the model were investigated to dissect the dropout from the telemedicine pathway. A cross-sectional patient satisfaction study was conducted. The degree of satisfaction was evaluated through a developed 22-item questionnaire (Likert scale 0–7). Results: A total of 375 video consultations for 164 patients (mean age 62.9 years) were performed through remote consultations for cancer pain management between March 2021 and February 2022. After the exclusion of 72 patients, 92 (56.1%) were included in the analysis. The dropout ratio was 8.7%. The number of visits and pharmacological therapies for neuropathic pain correlated with the risk for readmission (p < 0.05). Overall, the satisfaction was very high (mean > 5.5 for all items). Conclusion: Feedback from patients reflected high satisfaction rates with the care provided. A methodological approach based on the degree of satisfaction combined with the analysis of the pathways can help to implement the quality of a service provided through telemedicine. While not without limitations, our hybrid protocol can be useful for addressing cancer pain through a patient-centered approach.</p>
Multidimensional Statistical Technique for Interpreting the Spontaneous Breakthrough Cancer Pain Phenomenon. A Secondary Analysis from the IOPS-MS Study
<p>Simple Summary: Pain is one of the most common and debilitating symptoms in cancer patients. A clinical peculiarity of cancer pain is the breakthrough cancer pain (BTcP), which is defined as a temporary exacerbation of pain that “breaks through” a phase of adequate pain control by an opioid-based therapy. The NP-BTcP occurs in the absence of any specific activity. In this paper, we addressed the topic through a mathematical approach to provide many indications for identifying the diagnostic and therapeutic gaps in NP-BTcP management. Abstract: Breakthrough cancer pain (BTcP) is a temporary exacerbation of pain that “breaks through” a phase of adequate pain control by an opioid-based therapy. The non-predictable BTcP (NP-BTcP) is a subtype of BTcP that occurs in the absence of any specific activity. Since NP-BTcP has an important clinical impact, this analysis is aimed at characterizing the NP-BTcP phenomenon through a multidimensional statistical technique. This is a secondary analysis based on the Italian Oncologic Pain multiSetting—Multicentric Survey (IOPS-MS). A correlation analysis was performed to characterize the NP-BTcP profile about its intensity, number of episodes per day, and type. The multiple correspondence analysis (MCA) determined the identification of four groups (phenotypes). A univariate analysis was performed to assess differences between the four phenotypes and selected covariates. The four phenotypes represent the hierarchical classification according to the status of NP-BTcP: from the best (phenotype 1) to the worst (phenotype 4). The univariate analysis found a significant association between the onset time >10 min in the phenotype 1 (37.3%)’ vs. the onset > 10 min in phenotype 4 (25.8%) (p < 0.001). Phenotype 1 was characterized by the gastrointestinal type of cancer (26.4%) with respect to phenotype 4, where the most frequent cancer affected the lung (28.8%) (p < 0.001). Phenotype 4 was mainly managed with rapid-onset opioids, while in phenotype 1, many patients were treated with oral, subcutaneous, or intravenous morphine (56.4% and 44.4%, respectively; p = 0.008). The ability to characterize NP-BTcP can offer enormous benefits for the management of this serious aspect of cancer pain. Although requiring validation, this strategy can provide many indications for identifying the diagnostic and therapeutic gaps in NP-BTcP management.</p> <p> </p>
Dexamethasone in Reducing Oral Pain and Dry Mouth After Surgery in Patients With Oropharyngeal Cancer
ClinicalTrials.gov study NCT01748942. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Chronic Insomnia in Non-Cancer Pain Patients
ClinicalTrials.gov study NCT07057232. IPD Sharing: YES. Countries: 1. Publications: 2.
Effectiveness of Coping Strategies on the Control of Chronic Non-Cancer Pain and Quality of Life (CNCP_CopQol)
ClinicalTrials.gov study NCT04696107. IPD Sharing: YES. Countries: 1. Publications: 23.
Mindfulness-oriented Recovery Enhancement (MORE) for Cancer Pain Relief
ClinicalTrials.gov study NCT05877521. IPD Sharing: YES. Countries: 1. Publications: 1.
Assessment of Efficacy and Safety in Patients With Non-cancer-related Pain and Opioid-induced Constipation
ClinicalTrials.gov study NCT01309841. IPD Sharing: Not stated. Countries: 4. Publications: 4.
Treatment of Cancer-Related Bone Pain by Using Bone-Targeted Radiation-Based Therapy (Sn-117m-DTPA) in Patients With Prostate Cancer That Has Spread to Bones
ClinicalTrials.gov study NCT04616547. IPD Sharing: YES. Countries: 1. Publications: 1.
A Two-Part Study of Sativex® Oromucosal Spray for Relieving Uncontrolled Persistent Pain in Patients With Advanced Cancer
ClinicalTrials.gov study NCT01424566. IPD Sharing: Not stated. Countries: 13. Publications: 1.
A Clinical Trial With Intranasal Fentanyl in Cancer Patients With Breakthrough Pain
ClinicalTrials.gov study NCT01429051. IPD Sharing: Not stated. Countries: 3. Publications: 1.
Study to Compare the Safety and Tolerability of Sativex® in Patients With Cancer Related Pain
ClinicalTrials.gov study NCT00675948. IPD Sharing: Not stated. Countries: 1. Publications: 1.
CORAL - Cebranopadol Versus Morphine Prolonged-release in Patients With Chronic Moderate to Severe Pain Related to Cancer
ClinicalTrials.gov study NCT01964378. IPD Sharing: NO. Countries: 14. Publications: 1.
Usefulness of Acetaminophen Associated With Strong Opioids for Acute Pain in Cancer Patients
ClinicalTrials.gov study NCT04779567. IPD Sharing: YES. Countries: 1. Publications: 36.
A Study To Evaluate Pregabalin In The Treatment Of Moderate To Severe Chronic Bone Pain Related To Metastatic Cancer
ClinicalTrials.gov study NCT00381095. IPD Sharing: Not stated. Countries: 19. Publications: 1.
Breathing Exercise for Chronic Pain Management in Breast Cancer Survivors
ClinicalTrials.gov study NCT05257876. IPD Sharing: NO. Countries: 1. Publications: 1.
S1202: Duloxetine Hydrochloride for Muscle/Joint Pain in Early-Stage Breast Cancer Receiving Hormone Therapy
ClinicalTrials.gov study NCT01598298. IPD Sharing: YES. Countries: 1. Publications: 1.
Intranasal (NAS) Ketamine for Cancer Pain
ClinicalTrials.gov study NCT03146806. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.