Sex, Race, and Age Differences of Cardiovascular Outcomes in Cardiac Resynchronization Therapy RCTs: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Background Cardiac resynchronization therapy (CRT) is beneficial in patients who have heart failure with reduced ejection fraction or arrhythmic events. However, most randomized controlled trials (RCTs) showing survival benefits primarily enrolled older white men. This study aims to evaluate CRT efficacy by sex, race, and age in RCTs. Methods Five electronic databases (CINAHL, Embase, Emcare, Medline, and PubMed) were searched from inception to July 12, 2021 for RCTs with CRT in adult patients. Data were analyzed for clinical outcomes including all-cause or cardiovascular (CV) death, worsening heart failure (HF), and HF hospitalization (HFH) according to sex, race, and age. Results Among six RCTs with up to moderate risk of bias, 54% (n = 3,630 of 6,682; mean age 64 years, 22% female, 8% black patients) had CRT device implantation. All-cause death (odds ratio [OR], 0.51; P = 0.053) was reduced in female versus male CRT patients, whereas CV death, HFH, or all-cause death with worsening HF or HFH did not differ significantly. No difference was seen in CRT patients for all-cause death and worsening HF (OR, 1.32; P = 0.46) among white vs black patients or for all-cause death and HFH (OR, 1.19; P = 0.55) among ≥ 65 versus < 65 years. Conclusions Whereas all-cause death was lower in female CRT patients, other reported outcomes did not significantly differ by sex, race, or age. Only 6 studies partially reported outcomes. Thus, enhanced reporting and analyses are required to overcome such paucity of data to evaluate the impact of these factors on clinical outcomes in distinct patient cohorts with CRT indication.
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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 | 0.019 | 0.052 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.025 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 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".