Neuropathic pain: symptoms, models, and mechanisms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Peripheral neuropathic pain is the most debilitating of all clinical pain syndromes and affects a large and growing number of people worldwide. There are diverse causes for peripheral neuropathic pain, which may be experienced after traumatic nerve injury or from diseases that affect peripheral nerves, such as diabetes, HIV/AIDS, and cancer, and it can also result from toxic chemicals, such as cancer chemotherapy agents. Despite these varying causes, it is clear that neuropathic pain is due to persistent pathological alterations resulting in hyperexcitability in the peripheral and central nervous systems, and it is the neuropathology that must be targeted for effective therapy of which there is none presently available. Mechanistically, neuropathic pain is distinct from acute pain and inflammatory pain, for which many effective therapies are known. In this review, we describe the relationships between clinical symptoms and experimental models of peripheral neuropathic pain, and we provide a framework for understanding the potential mechanisms that involve primary neuronal dysfunction as well as pathological changes in neuron‐glial signaling. Drug Dev. Res. 67:289–301, 2006. © 2006 Wiley‐Liss, Inc.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 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) | 0.000 | 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 it