The effectiveness of parenteral agents to mitigate relapses after severe acute migraine headache presentations: A systematic review and network analysis
Bibliographic record
Abstract
OBJECTIVES: To compare the effectiveness of parenteral agents to reduce relapse in patients with acute migraine and identify factors that predict relapse. BACKGROUND: Following discharge from emergency settings, many patients with acute migraine will experience a relapse in pain; severe relapses may result in re-visits to emergency settings. METHODS: A comprehensive literature search, updated to 2023, was conducted to identify randomized controlled trials assessing the effectiveness of parenteral agents on relapse outcomes in patients with acute migraine discharged from emergency settings. Two independent reviewers completed study selection, quality assessment, and data extraction. A traditional meta-analysis compared parenteral corticosteroids to placebo; a frequentist network analysis assessed direct and indirect comparisons. Results are reported as risk ratios (RRs) and 95% confidence intervals (CIs). The review protocol was registered with the International Prospective Register of Systematic Reviews (identifier: CRD42018099493). RESULTS: = 0%). Patients receiving lidocaine (RR 0.10, 95% CI 0.01-0.82), sedatives/hypnotics (RR 0.33, 95% CI 0.14-0.75), ergot agents (RR 0.44, 95% CI 0.25-0.75), neuroleptics (RR 0.47, 95% CI 0.31-0.71), opioids (RR 0.58; 95% CI 0.35-0.94), or corticosteroids (RR 0.64, 95% CI 0.47-0.86) were significantly less likely to relapse. Lidocaine (RR 0.09, 95% CI 0.01-0.71), combination therapy (RR 0.12, 95% CI 0.02-0.74), or adding corticosteroids (RR 0.61, 95% CI 0.44-0.84) were more likely to reduce severe relapses. Longer duration of headache and residual pain at discharge were significantly associated with higher relapses. DISCUSSION: Corticosteroids remain the recommended first-line option to reduce relapse outcomes. Some parenteral agents typically provided for pain relief including ergot agents, neuroleptics, or combination therapy may effectively reduce relapse; however, opioids are not recommended due to safety concerns. Additional research is needed for some lesser studied, albeit promising, agents including lidocaine and propofol. Effective pain control in emergency settings prior to discharge and duration of headache may play a role in the success of such treatments and further investigations could provide further insight regarding how and why some parenteral agents are effective in mitigating relapse events.
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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 | 0.016 | 0.059 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.020 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".