Abstract 14732: The Prognostic Implications of Right Bundle Branch Block in Healthy Population: a Systematic Review and Meta-analysis
Bibliographic record
Abstract
Objective: Multiple large population based observational studies have evaluated the association of various ECG changes with long term adverse outcomes demonstrating conflicting results regarding the significance of right bundle branch block (RBBB). Therefore, we conducted a systematic review and meta-analysis to determine the prognostic significance of RBBB in healthy population. Methods: This systematic review follows an a priori established protocol and is reported following the PRISMA statement (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). We systematically searched EMBASE, Web of Science and Scopus through January 2014. We also consulted with content experts to recommend studies for screening. Reviewers working independently and in duplicate screened all eligible abstracts, selecting randomized trials and prospective cohort studies that described all cause mortality or cardiovascular death in patients with RBBB. We excluded studies that reported unadjusted outcome or unadjusted event rates. For statistical analysis, hazard ratios were considered to approximate risk ratios. The main outcomes of the study are all-cause mortality and cardiovascular mortality. Results: Based on the eligibility, four large cohorts, with total patient count > 100,000 were included in the meta-analysis. Risk of bias was assessed using the Newcastle-Ottawa scale and included studies were deemed to be of high quality. As demonstrated in Figure 1, RBBB was not associated increase in all-cause mortality (RR 1.05; 95% CI 0.89-1.25) or cardiovascular mortality (RR 1.09; 95% CI 0.70-1.69). Conclusion: In asymptomatic healthy patients, RBBB is not associated with poor outcome.
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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 | 0.018 | 0.040 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.042 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".