The role of calcitonin gene‐related peptide and substance P in the pathogenesis of dialysis headache
Bibliographic record
Abstract
AIM: The present study aims to establish the role of serum CGRP and SP levels in the disease pathophysiology in patients with dialysis headache not accompanied by primary or secondary headaches, and also whether there is a correlation between these vasoactive peptides and the severity of headache. METHOD: This study was designed as prospective and multicenter. A total of 30 dialysis headache patients and 30 patients without headache as the control group in the Nephrology outpatient clinics which implement similar dialysis procedures were included in the study. Blood samples were taken from all the patients before hemodialysis, and post-hemodialysis samples were collected. CGRP and SP contents in serum samples were measured using the ELISA method with detection kits. RESULTS: A total of 60 patients were included in the study with 17 female and 13 male patients in the dialysis headache group and 18 female and 12 male patients in the control group, and there were no significant differences in sex and age between the groups. CGRP levels in the headache group were found to be significantly higher compared with the control group both before and after hemodialysis. Furthermore, pre-hemodialysis CGRP levels were significantly higher than post-hemodialysis CGRP levels in both the headache and control groups. Serum SP levels in the headache group were found to be higher compared with the control group both before and after hemodialysis, there was no significant difference between the groups. Even though SP levels in both groups decreased after hemodialysis, there was again no significant difference between the groups. No correlation was found between the patients' severity of headache and serum CGRP and SP levels. CONCLUSION: This study concludes that CGRP and SP, even though the latter is not statistically significant, play a role in the pathophysiology of the dialysis headache, and further studies with a larger and more specific patient population may reveal the relationship between the neuropeptides and dialysis headache more clearly.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".