Evidence map›Paper›PMID 38151932›Full record

ReviewSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2023

[Application of photoplethysmography for atrial fibrillation in early warning, diagnosis and integrated management].

Meihui Tai, Zhigeng Jin, Hao Wang, Yutao Guo

Open access · greenAbstract readReviewEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Review in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 66% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Meihui TaiDepartment of Cardiopulmonary vascular and Thrombotic Diseases, Sixth Medical Department, Chinese PLA General Hospital, Beijing 100048, P. R. China.
Zhigeng JinDepartment of Cardiopulmonary vascular and Thrombotic Diseases, Sixth Medical Department, Chinese PLA General Hospital, Beijing 100048, P. R. China.
Hao WangDepartment of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing 100853, P. R. China.
Yutao GuoDepartment of Cardiopulmonary vascular and Thrombotic Diseases, Sixth Medical Department, Chinese PLA General Hospital, Beijing 100048, P. R. China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. Early diagnosis and effective management are important to reduce atrial fibrillation-related adverse events. Photoplethysmography (PPG) is often used to assist wearables for continuous electrocardiograph monitoring, which shows its unique value. The development of PPG has provided an innovative solution to AF management. Serial studies of mobile health technology for improving screening and optimized integrated care in atrial fibrillation have explored the application of PPG in screening, diagnosing, early warning, and integrated management in patients with AF. This review summarizes the latest progress of PPG analysis based on artificial intelligence technology and mobile health in AF field in recent years, as well as the limitations of current research and the focus of future research.

Indexed as

Atrial FibrillationArtificial IntelligenceBiomedical TechnologyElectrocardiographyHumansPhotoplethysmographyArtificial intelligenceAtrial fibrillationMobile health technologyPhotoplethysmographyWearables

Identifiers

PMID38151932
PMCPMC10753309
OpenAlexW4390348194

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.