Intravenous milrinone for delayed cerebral ischaemia in aneurysmal subarachnoid haemorrhage: a systematic review
Bibliographic record
Abstract
BACKGROUND: Aneurysmal subarachnoid haemorrhage (aSAH) is a major contributor to mortality worldwide, with delayed cerebral ischaemia (DCI) contributing significantly to morbidity in these patients. There are limited evidence-based therapies for DCI. A 2012 case series first recommended the use of intravenous (IV) milrinone in this patient population, stating the need for formal prospective trials. However, uptake of this therapy into clinical practice has proceeded without adequate studies for efficacy and safety. METHODS: We sought to determine the effect of IV milrinone on DCI in patients with aSAH in terms of functional outcome through a systematic review using Embase, MEDLINE, and Cochrane Library databases. Quality assessment was performed using MINORS criteria. RESULTS: A total of 2429 studies were screened, with ten studies included in the review. Of these, no randomized trials were identified. Three observational comparative studies were included, and the remaining seven studies were non-comparative in nature, and mainly retrospective. Overall, the quality of evidence for non-comparative studies was poor. CONCLUSIONS: This study reveals a paucity of evidence in the literature and highlights the need for high-quality randomized trials to investigate the safety and efficacy of IV milrinone, a commonly utilized treatment in critically ill aSAH patients with DCI. Ultimately, without evidence of efficacy and absence of harm, we caution continued use of intravenous milrinone for the treatment of DCI.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".