Word Choices of Advanced Cancer Patients: Frequency of Nociceptive and Neuropathic Pain
Bibliographic record
Abstract
The purpose of this study was to determine if nociceptive and/or neuropathic pain in advanced cancer patients could be identified by word selections made on the McGill Melzack Pain Questionnaire. Theoretical definitions for nociceptive and neuropathic pain provided a framework for categorizing the word descriptors in the McGill Melzack Pain Questionnaire's sensory and miscellaneous dimensions. A description study design was used to group word frequencies by primary site and pain type. The participants were 76 advanced cancer patients who received home-based hospice services. A wide range of word choices for lung cancer patients supported both nociceptive and neuropathic pain. Individuals with colon and liver cancer selected words that described 2 types of nociceptive (visceral, somatic) pain, while those with prostate cancer noted somatic pain. A set frequency was not reached by individuals with breast, pancreatic, gastric, and other advanced cancers. This study provided evidence that advanced cancer patients select words that describe nociceptive and neuropathic pain types.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".