Trial reportPloS one2021
Three year clinical outcomes in a nationwide, observational, siteless clinical trial of atrial fibrillation screening-mHealth Screening to Prevent Strokes (mSToPS).
Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02506244 (mHealth Screening to Prevent Strokes), which is not on this map. Cited by 15 papers.
What it found
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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.
mHealth Screening to Prevent Strokes (mSToPS)
Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
- The global burden of atrial fibrillation and atrial flutter in older adults (≥ 65 years): trends, disparities, and drivers (1990-2021).BMC cardiovascular disorders · 2025Article
- Foundation models for cardiovascular disease detection via biosignals from digital stethoscopes.NPJ cardiovascular health · 2024Article
- The NORwegian atrial fibrillation self-SCREENing (NORSCREEN) trial: rationale and design of a randomized controlled trial.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Article
- Global implementation and evaluation of atrial fibrillation screening in the past two decades - a narrative review.NPJ cardiovascular health · 2024Review
- Screening and detection of atrial fibrillation in primary care: current practice and future perspectives.European heart journal supplements : journal of the European Society of Cardiology · 2024Article
- Screening for atrial fibrillation: the role of CHAEuropean heart journal supplements : journal of the European Society of Cardiology · 2024Article
- Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias.NPJ digital medicine · 2023Article
- Cost-Effectiveness of AF Screening With 2-Week Patch Monitors: The mSToPS Study.Circulation. Cardiovascular quality and outcomes · 2023Article
- Review
- Wearable Devices in Cardiovascular Medicine.Circulation research · 2023Review
- Yield of diagnosis and risk of stroke with screening strategies for atrial fibrillation: a comprehensive review of current evidence.European heart journal open · 2023Review
- Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study.Frontiers in public health · 2023Article
- In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome.NPJ digital medicine · 2022Article
- Article
- Advances in Clinical Cardiology 2020: A Summary of Key Clinical Trials.Advances in therapy · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAtrial fibrillation (AF) is common, often without symptoms, and is an independent risk factor for mortality, stroke and heart failure. It is unknown if screening asymptomatic individuals for AF can improve clinical outcomes.
methodsmSToPS was a pragmatic, direct-to-participant trial that randomized individuals from a single US-wide health plan to either immediate or delayed screening using a continuous-recording ECG patch to be worn for two weeks and 2 occasions, ~3 months apart, to potentially detect undiagnosed AF. The 3-year outcomes component of the trial was designed to compare clinical outcomes in the combined cohort of 1718 individuals who underwent monitoring and 3371 matched observational controls. The prespecified primary outcome was the time to first event of the combined endpoint of death, stroke, systemic embolism, or myocardial infarction among individuals with a new AF diagnosis, which was hypothesized to be the same in the two cohorts but was not realized.
resultsOver the 3 years following the initiation of screening (mean follow-up 29 months), AF was newly diagnosed in 11.4% (n = 196) of screened participants versus 7.7% (n = 261) of observational controls (p<0.01). Among the screened cohort with incident AF, one-third were diagnosed through screening. For all individuals whose AF was first diagnosed clinically, a clinical event was common in the 4 weeks surrounding that diagnosis: 6.6% experienced a stroke,10.2% were newly diagnosed with heart failure, 9.2% had a myocardial infarction, and 1.5% systemic emboli. Cumulatively, 42.9% were hospitalized. For those diagnosed via screening, none experienced a stroke, myocardial infarction or systemic emboli in the period surrounding their AF diagnosis, and only 1 person (2.3%) had a new diagnosis of heart failure. Incidence rate of the prespecified combined primary endpoint was 3.6 per 100 person-years among the actively monitored cohort and 4.5 per 100 person-years in the observational controls.
conclusionsAt 3 years, screening for AF was associated with a lower rate of clinical events and improved outcomes relative to a matched cohort, although the influence of earlier diagnosis of AF via screening on this finding is unclear. These observational data, including the high event rate surrounding a new clinical diagnosis of AF, support the need for randomized trials to determine whether screening for AF will yield a meaningful protection from strokes and other clinical events. TRAIL REGISTRATION: The mHealth Screening To Prevent Strokes (mSToPS) Trial is registered on ClinicalTrials.gov with the identifier NCT02506244.
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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.