Pathophysiological Mechanisms and Therapeutic Drug Targets for Complex Regional Pain Syndrome – Type I
Bibliographic record
Abstract
Reflex sympathetic dystrophy (RSD), also known as complex regional pain syndrome type I (CRPS-I), is a disabling neuropathic pain syndrome. It is characterized by regional disabling pain, increased sensitivity to tactile stimuli, swelling, vasomotor and sudomotor abnormalities, and impairment of motor function. The disorder usually develops after minor trauma (contusions, sprains, and fractures) or surgery. Pathophysiologically, there is evidence for functional changes within the central nervous system and for involvement of peripheral inflammatory processes, the signs of which are very much evident at the early stage of the disorder. The sympathetic nervous system plays a key role in maintaining pain and autonomic dysfunction in the affected extremity. Accordingly, in the chronic stages of the disease, patients present with a cold-affected extremity and atrophy of skin, muscles, and bones. Increased vasoconstriction, tissue hypoxia, and consequently metabolic tissue acidosis have all been demonstrated in the affected extremity. As for therapeutic drug targets, various modalities of drug action have been extensively studied, which include targeting regional inflammation, ion channels, spinal pain pathways, sympathetic nervous system and the NMDA receptor. Hence, the aim of the present article is to comprehensively review the multifarious pathophysiological mechanisms underlying pain in CRPS-I and the molecular drug targets that are studied to develop newer drug molecules for the effective treatment of this pain condition.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".