Neuropathic Pain Screening: Construct Validity in Patients With Sickle Cell Disease
Bibliographic record
Abstract
Individuals with pain from sickle cell disease (SCD) are often treated for nociceptive pain, but recent findings indicate they may also have neuropathic pain. PAIN ReportIt, a computerized version of the McGill Pain Questionnaire, provides a potential subscale that is the summed number of selected neuropathic pain quality words (PR-NNP), but it lacks construct validity. The study purpose was to ascertain PR-NNP construct validity in adults with SCD and chronic pain. In an outpatient setting, 186 participants completed the PAIN ReportIt, Neuropathic Pain Symptom Inventory (NPSI), and Leeds Assessment for Neuropathic Symptoms and Signs (S-LANSS). PR-NNP was moderately correlated with NPSI ( r = .33, p < .001) and S-LANSS ( r = .40, p < .001). Regression analysis indicated that PR-NNP and pain intensity, but not a nociceptive pain subscale, were significant predictors of NPSI and S-LANSS. Findings support construct validity of PR-NNP, which may be useful as a screening tool for neuropathic pain in patients with SCD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".