Effect of aspirin in takotsubo syndrome: protocol of a systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: Takotsubo syndrome (TTS) is a sudden reversible weakening of the left ventricle function induced by severe stress and resembles many features as acute coronary syndrome. Even though many guidelines had been published about TTS, there is no consensus regarding the long-term treatment. Aspirin is one of the most common prescribed medicines at discharge for patients with the intention to reduce thrombus events and improve the overall prognosis. However, existing studies yielded conflicting results concerning its effects. This study aims to evaluate the impact of long-term maintenance treatment of aspirin in TTS and provides insights in clinical management. METHODS AND ANALYSIS: After searching through electronic databases (PubMed, Embase, Cochrane Library, Web of Science, National Library of Medicine Gateway, CNKI, Wanfang and VIP), grey literatures, conference abstract and trial registries for clinical studies investigating the impact of aspirin on patients with TTS, a systemic review and meta-analysis will be conducted. The search will be limited from inception of each database to 1 August 2020. The outcomes including all-cause death, TTS recurrence, stroke, transient ischaemic attack or myocardial infarction at 30-day and 5-year follow-up will be examined. Risk of bias will be assessed by Newcastle-Ottawa quality assessment scale for observational studies and Cochrane Effective Practice and Organization of Care evaluation tool for interventional studies. Grading of Recommendations Assessment, Development and Evaluations method will be applied to assess the quality of evidence. If available, the effects of aspirin on the above outcomes for patients with TTS will be evaluated using random-effect modelling with relative risk at 95% CIs. Subgroup analysis and sensitivity analysis will also be performed when possible. ETHICS AND DISSEMINATION: Ethics approval was not required due to the retrospective nature of the study. Results of the review will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42020212729.
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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 | 0.054 | 0.063 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.024 | 0.034 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.043 | 0.004 |
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".