Evidence map›Paper›PMID 34604759›Full record

ReviewEuropean heart journal. Digital health2021

Ambulatory monitoring promises equitable personalized healthcare delivery in underrepresented patients.

Kanchan Kulkarni, Rahul Kumar Sevakula, Mohamad B Kassab, John Nichols, Jesse D Roberts, Eric M Isselbacher, Antonis A Armoundas

Open access · goldAbstract readReview
In one paragraph

Review in European heart journal. Digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Adherence Monitoring Using Telemonitoring Techniques.Advances in experimental medicine and biology · 2022
    Article
  10. Article
  11. Review
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

7 authors at 1 institution in 1 country.

Kanchan KulkarniCardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Boston, MA 02129, USA.
Rahul Kumar SevakulaCardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Boston, MA 02129, USA.
Mohamad B KassabCardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Boston, MA 02129, USA.
John NicholsAnesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.
Jesse D RobertsCardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Boston, MA 02129, USA.
Eric M IsselbacherHealthcare Transformation Lab, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0003-0393-168X
Antonis A ArmoundasCardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Boston, MA 02129, USA.
Massachusetts General Hospital · US

Funding

Harvard Clinical and Translational Science Center (UL1)UL1TR000170 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2012 to 2013
$31.4M
Prevention and Treatment of Ventricular TachyarrhythmiasR01HL135335 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ARMOUNDAS, ANTONIS A · 2017 to 2020
$2.1M
A Medical-Grade Smart-Phone Based Monitoring System (Supplement)R21EB026164 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ARMOUNDAS, ANTONIS A · 2018 to 2020
$668k
Utility of Vagal Stimulation to Prevent the Onset of Ventricular ArrhythmiasR21HL137870 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ARMOUNDAS, ANTONIS A · 2017 to 2018
$468k
NCATS NIH HHS UL1 TR000170NHLBI NIH HHS R01 HL135335NHLBI NIH HHS R21 HL137870NIBIB NIH HHS R21 EB026164
6 · The paper itself

Abstract

The pandemic has brought to everybody's attention the apparent need of remote monitoring, highlighting hitherto unseen challenges in healthcare. Today, mobile monitoring and real-time data collection, processing and decision-making, can drastically improve the cardiorespiratory-haemodynamic health diagnosis and care, not only in the rural communities, but urban ones with limited healthcare access as well. Disparities in socioeconomic status and geographic variances resulting in regional inequity in access to healthcare delivery, and significant differences in mortality rates between rural and urban communities have been a growing concern. Evolution of wireless devices and smartphones has initiated a new era in medicine. Mobile health technologies have a promising role in equitable delivery of personalized medicine and are becoming essential components in the delivery of healthcare to patients with limited access to in-hospital services. Yet, the utility of portable health monitoring devices has been suboptimal due to the lack of user-friendly and computationally efficient physiological data collection and analysis platforms. We present a comprehensive review of the current cardiac, pulmonary, and haemodynamic telemonitoring technologies. We also propose a novel low-cost smartphone-based system capable of providing complete cardiorespiratory assessment using a single platform for arrhythmia prediction along with detection of underlying ischaemia and sleep apnoea; we believe this system holds significant potential in aiding the diagnosis and treatment of cardiorespiratory diseases, particularly in underserved populations.

Indexed as

CardiorespiratoryHaemodynamicMonitoringPersonalized medicineSmartphoneTelehealth

Identifiers

PMID34604759
PMCPMC8482046
OpenAlexW3198472645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.