ArticleJournal of clinical lipidology
Impact of telehealth on the current and future practice of lipidology: a scoping review.
Article in Journal of clinical lipidology. 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, 12 citations in OpenAlex.
- Digital health interventions for lipid management in atherosclerotic cardiovascular disease: a systematic review and meta-analysis of randomised controlled trials.EClinicalMedicine · 2026Article
- Reimagining Arterial Hypertension and Dyslipidemia Care: Telemedicine's Promise and Pitfalls from the Slovak Patient Viewpoint.Clinics and practice · 2025Article
- Learnings from Implementation Strategies to Improve Lipid Management.Current cardiology reports · 2025Review
- The Hurdle of Access to Emerging Therapies and Potential Solutions in the Management of Dyslipidemias.Journal of clinical medicine · 2024Review
- Closing the Gaps in Care of Dyslipidemia: Revolutionizing Management with Digital Health and Innovative Care Models.Reviews in cardiovascular medicine · 2023Review
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 8 institutions in 1 country.
Funding
Abstract
Telehealth services have been implemented to deliver care for patients living with many chronic conditions and have expanded greatly during the COVID-19 pandemic. Little is known about the current or future impacts of telehealth on lipid management practices. The PubMed database was searched from inception to June 25, 2021, with the keywords "lipids or cholesterol" and "telehealth," which yielded 376 published articles. Telehealth was defined as a synchronous visit between a patient and clinician that replaced an in-office appointment. Studies that solely used remote monitoring, mobile health technologies, or callbacks of results, were excluded. Articles must have measured lipid values. Review articles and protocol papers were not included. After evaluation, 128 abstracts were included for full text evaluation, with 55 full-text articles eventually included. Of the articles, 29 were randomized clinical trials, 15 were pre-post evaluations, and 11 were other study designs. Telehealth had positive to neutral impacts on lipid management. Reported facilitators include easier implementation of multidisciplinary approaches to care, and utilization of patient-centered programs. Reported barriers to telehealth services include technological barriers, such as various skill levels with technology; systems barriers, such as cost and reimbursement; patient-related barriers, including patient non-adherence; and clinician-related barriers, such as difficulty standardizing care. Clinicians reported improved satisfaction among patients but had mixed feelings regarding their ability to deliver quality care. Telemedicine use to provide care for individuals with lipid conditions has expanded during the COVID-19 pandemic, but more research is needed to determine its potential as a sustainable tool for lipid management.
Indexed as
Identifiers
What OpenQuestion holds
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.