Bibliographic record
Abstract
BETHESDA, MD—As the population ages and the number of older people living with cancer increases, so too will the number of older people living with cancer pain, necessitating new options for improved pain control. So said speakers at the Third Annual Symposium on Advances in Pain Research of the National Institutes of Health, hosted by the NIH Pain Consortium and held here on the NIH campus. “The unmet need for better pain control is substantial,” said Andreas Beutler, MD, Assistant Professor of Medicine (Oncology) at Mount Sinai School of Medicine in New York City. A recent Institute of Medicine report concluded that the entire health care workforce needs to gain greater competence in geriatrics, in order to improve the way care is delivered to older patients. In that regard, a presentation at the pain symposium focused on development of a new evidence-based tool—a “pain item bank”—to assess pain in geriatric oncology patients. The new evidence-based assessment tool is called a “pain item bank.” “Pain management in cancer among older adults is a pressing issue given societal demographics,” said Chih-Hung Chang, PhD, Associate Professor of Medicine at Northwestern University's Buehler Center on Aging, Health and Society, who is developing the tool for use in the clinic. “Quality pain assessment in gero-oncology is a challenging but necessary first step to optimize individual pain treatment and management. A plethora of pain questionnaires exists, but not for the assessment of gero-oncology pain and its specific domains.” 4 Goals Dr. Chang said that in developing his pain assessment tool he and his colleagues have four distinct goals: To identify and refine the domains of pain assessment for a geriatric oncology population, using existing theoretical frameworks in biopsychosocial medicine and palliative care as a guide. To compile the items for a multidimensional pain item bank, drawing from existing pain questionnaires and supplementing them with newly written items. To empirically develop a pain item bank applicable to a geriatric oncology population. To pilot-test a computerized adaptive testing platform to administer individualized pain assessments to geriatric oncology patients in clinical settings. As part of the process of developing the pain-assessment tool, Dr. Chang turned to 22 patients age 58 to 88, and asked them 30 open-ended questions about what should be included in such a tool. The patients mentioned exacerbation of pain, causes of pain, relief of pain, medication, characteristics of pain, impact of pain, the role of support, and the help of health care providers as important to include in the assessment. The assessment prototype will demonstrate how the system should be implemented and tested in clinical settings, taking into account different linguistic populations and cultures. Pain-Relief Gene-Delivery System In addition to assessing pain in older cancer patients more accurately, new methods of pain delivery for patients in chronic pain need to be developed, Dr. Beutler said, explaining that gene therapy offers one such option. He reported on a novel preclinical pain-relief gene delivery system he is studying in rats. The system uses intrathecal adeno-associated virus as a vector to deliver pain relief. Via lumbar puncture, the viral vector carries an endorphin gene into rodent primary sensory neurons, where it selectively activates opiate receptors. Dr. Beutler said that theoretically any secreted protein could be a drug for this kind of viral transfer. The delivery system, which he described as a candidate platform for translational research, could likely bypass the unwanted side effects of opiates such as constipation, hallucinations, and drowsiness and bring pain relief to patients in intractable pain due to advanced cancer. One clinical problem in bringing this research from bench to bedside, said Dr. Beutler, is that “vector production is still not on an industrial scale,” although it can be done in trials. Dr. Beutler published an article on the approach in the January 22 issue of Proceedings of the National Academy of Sciences. Novel Cannabinoids Also discussed at the NIH meeting were novel cannabinoids, drugs for pain relief derived from Cannabis sativa, the hemp plant from which marijuana is produced. The synthetic cannabinoid nabilone, approved for treatment of nausea and vomiting during chemotherapy, has also been shown to relieve pain. In August 2007, Canada approved the cannabinoid Sativex as adjunctive analgesic treatment in patients with advanced cancer who experience moderate to severe pain during the highest tolerated dose of strong opioid therapy for persistent background pain. Sativex, used as an oral spray, is currently in late-state clinical trials in the United States and Europe, and according to the NIH's ClinicalTrials.gov site, several cannabinoid drugs are in clinical trials. In rats, cannabinoids appear to activate different families of receptors to relieve pain, said Ken M. Hargreaves, DDS, PhD, Professor and Chair of the Department of Endodontics at the University of Texas Health Science Center. He is studying cannabinoid pain relief via desensitization of a specific neuronal channel. M & M Of marked clinical interest is the synergy of opioids and cannabinoids, said Sandra P. Welch, PhD, Professor of Pharmacology and Toxicology at Virginia Commonwealth University. She noted that in mice, tetrahydrocannabinol (THC), the active ingredient in the approved cannabinoid dronabinol (Marinol), releases natural endogenous opioids, leading to what Dr. Welch called the “M and M” hypothesis for improved pain relief: low-dose Marinol plus morphine. Because the effects of morphine are enhanced by low-dose THC, she said a possible clinical strategy to relieve pain would be to use low-dose THC and a lower than usual dose of an opioid for pain relief, in hopes of controlling persistent pain with fewer opioid side effects. “I think this is a really interesting approach; these are good models for the human condition,” commented John Kusiak, PhD, Program Director for Molecular and Cellular Neurosciences at the National Institute of Dental and Craniofacial Research (NIDCR), speaking about Dr. Welch's research. Still, while new cannabinoids are promising for pain relief, they must be viewed with some caution, said Wen G. Chen, PhD, Program Director for Sensory and Motor Disorders of Aging at the National Institute on Aging. “Cannabinoids have been hyped; they are the ‘molecule on the block’ for neuroscientists,” he said. Genetic Variations Finally, several speakers said there are genetic variations in human pain susceptibility that may eventually lead to better pain control. For example, patients with low levels of neuropeptide Y (NPY), the most abundant peptide in the brain, tend to respond more to pain, noted David Goldman, MD, Chief of the Laboratory of Neurogenetics and Senior Investigator in the Human Neurogenetics Section, National Institute on Alcohol Abuse and Alcoholism. Noting that NPY expression affects pain, stress response, and emotion, Dr. Goldman predicted that physicians will someday have in their hands a panel of genetic variances in pain susceptibility to use when prescribing pain relief to patients. Coming in Future Issues M. D. Anderson Paves Academic Route to Oncology Nursing Excellence. Testing Advised for Hepatitis B and C in Lymphoma Patients Prior to Treatment with Rituximab. Updates on DLBCL from the International Conference on Malignant Lymphoma. 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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".