Intra-aortic balloon pump in patients with cardiogenic shock complicating myocardial infarction: a systematic review and meta-analysis of randomized trials (protocol)
Bibliographic record
Abstract
BACKGROUND: Cardiogenic shock is the leading cause of death in patients with acute myocardial infarction. Despite significant advancements in health technology and research, hospital mortality approaches 50%. The intra-aortic balloon pump is a mechanical hemodynamic assist device that has been used for over 40 years in the management of patients with cardiogenic shock. A recent randomized trial suggests that the use of intra-aortic balloon pumps does not reduce mortality in patients with ischemic cardiogenic shock. METHODS: We plan to search MEDLINE, EMBASE, and the Cochrane Trial Registry for potentially eligible randomized trials that compare the use of intra-aortic balloon pump with no mechanical device support in patients with cardiogenic shock. No date, language or journal limitations will be applied. Two reviewers will independently screen and identify eligible studies using predefined eligibility criteria. Data abstraction will be done independently and in duplicate. We plan to use RevMan software to generate pooled estimates across included studies, using the previously published method of DerSimonian and Laird. We will report pooled estimates as risk ratios with 95% confidence intervals for binary outcomes, and as mean differences with 95% confidence intervals for continuous outcomes. We will assess the quality of evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. DISCUSSION: The aim of this systematic review and meta-analysis is to summarize the available evidence on the efficacy of the intra-aortic balloon pump in cardiogenic shock. Systematic review registration: PROSPERO CRD42014007056.
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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 | 0.025 | 0.048 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.027 | 0.027 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".