Trial reportJournal of the American Heart Association2022
Impact of an Automated Best Practice Alert on Sex and Race Disparities in Implantable Cardioverter-Defibrillator Therapy.
Trial report in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Evaluation of Provider Clinical Decision Support System Adoption Rates by Patient Race and Sex.medRxiv : the preprint server for health sciences · 2026Article
- Bridging the Gap: Multidisciplinary Decision Making to Address Systemic Barriers in Cardiovascular Care.Current cardiology reports · 2026Review
- A Research Agenda to Mitigate Racial and Ethnic Disparities in U.S. Critical Care Medicine: An Official American Thoracic Society Research Statement.American journal of respiratory and critical care medicine · 2025Article
- Sex-related similarities and differences in responses to heart failure therapies.Nature reviews. Cardiology · 2024Review
- Racial and Ethnic Disparities in Implantable Cardioverter-Defibrillator Utilization: A Contemporary Review.Current treatment options in cardiovascular medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Implantable cardioverter-defibrillators (ICDs) are indicated in patients with severe left ventricular dysfunction, but many eligible patients do not receive them, especially women and Black patients. Our group had previously demonstrated that a best practice alert (BPA) improves overall rates of electrophysiology referrals and ICD implantations. This study examined the impact of a BPA by sex and race. Methods and Results This is a cluster randomized trial of cardiology (n=106) and primary care (n=89) providers who were randomized to receive (BPA, n=93) or not receive (No BPA, n=102) the alert and managed 1856 patients meeting primary prevention criteria for ICD implantation (965 BPA and 891 No BPA). After a median follow up of 34 months, 630 (34%) patients were referred to electrophysiology, and 522 (28%) patients received an ICD. Compared with the No BPA arm, patients in the BPA arm saw a modest differential increase in the rate of electrophysiology referrals at 18 months in men (+4%) compared with women (+7%) but a profound increase in Black patients (+16%) compared with White patients (+2%), thus closing the sex and race gaps. Similar trends were noted for rates of ICD implantation. Conclusions Use of a BPA improves rates of electrophysiology referrals and ICD implantations in all comers with severe cardiomyopathy and no prior ventricular arrhythmias but has a more pronounced impact in women and Black patients. The use of a BPA at the point of care is an effective tool in the fight against sex and race inequities in health care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.