MOESM5 of Hsa-miR-34a mediated repression of corticotrophin releasing hormone receptor 1 regulates pro-opiomelanocortin expression in patients with complex regional pain syndrome
Bibliographic record
Abstract
Additional file 5: Table S1. Patient demographics and correlation studies. Sheets 1 and 2. Control and patient information including clinical parameters; Sheet 3. Key; Sheet 4. Pain relief determined using McGill and NRS scores of CRPS patients and their average percent change after receiving ketamine therapy; Sheet 5. Correlation analysis for relative expression of miR-34a, POMC mRNA levels, pain relief, BMI and body weight; Sheets 6 and 7. We analyzed the body weight and BMI reported for two independent cohorts of CRPS patients from previous studies [20, 21]. Sheet 6. Patient information from Goldberg et al. 2010. The treatment regimen in this study was identical to ours; Sheet 7. Patient information from Schwartzman et al. 2009. Treatment regimen differed from our study in that the patients received a lower dose (25 mg/h daily) of ketamine in an outpatient setting for 10 days. In our study ketamine was infused to patients with refractory CRPS over 5.5 days as described [6]. The infusion rate began at 10 mg/h and was increased by 10 mg/h every 2 h until a maximum rate of 40 mg/h was reached. This rate was continued for 120 h and was then tapered off by 10 mg/h every 2 h; Sheet 8. Combining data from all patients including this study show that poor responders to ketamine therapy have significantly lower body weight relative to responders.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.392 | 0.023 |
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".