Hospitalize or discharge the emergency department patient with syncope? A systematic review and meta‐analysis of direct evidence for <scp>SAEM GRACE</scp>
Bibliographic record
Abstract
BACKGROUND: Syncope is a frequent reason for hospitalization from the emergency department (ED), but the benefit of hospitalization is unclear. This systematic review and meta-analysis (SRMA) aims to cohere and synthesize the best current evidence regarding the potential benefit of hospitalization for ED syncope patients for developing an evidence-based ED syncope management guideline. METHODS: We conducted a SRMA according to the patient-intervention-control-outcome (PICO) framework: In patients 16 years of age or older who present to the ED with syncope (population), does hospitalization (intervention) or direct ED discharge (comparison) improve short-term outcomes (outcome)? The primary outcome was a composite of all adverse events as defined by individual studies, up to 30 days. Two reviewers independently assessed articles for inclusion and methodological quality. We measured heterogeneity among included studies with I-squared statistic and used GRADE criteria to assess the quality of evidence. RESULTS: Our search strategy identified 2140 publications and included 18 publications (510,545 participants) in the analysis. All studies reported higher rates of adverse events in hospitalized patients (0.7%-43.8%) compared to discharged patients (0%-3.7%). Our meta-analysis detected considerable statistical heterogeneity. The GRADE assessment for all adverse events and all-cause mortality revealed risk ratios of >5 favoring ED discharge for both outcomes at a median follow-up of 30 days. However, point estimates are limited by serious risk of bias, inconsistency, imprecision, indirectness, and publication bias. CONCLUSIONS: Due to the uncertainty of the available evidence, this SRMA's findings do not support a recommendation for or against hospitalizing patients presenting to ED with syncope. However, discharging low-risk patients with syncope from the ED is associated with a low risk of short-term adverse 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 | 0.041 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.036 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".