Evidence map›Paper›PMID 38074865›Full record

ReviewHeliyon2023

Systematic review of Internet of medical things for cardiovascular disease prevention among Australian first nations.

Khondker Mohammad Zobair, Luke Houghton, Dian Tjondronegoro, Louis Sanzogni, Md Zahidul Islam, Tapan Sarker, Md Jahirul Islam

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
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 3 institutions in 2 countries.

Khondker Mohammad ZobairDepartment of Business Strategy and Innovation, Griffith Business School, Griffith University, Nathan, QLD, 4100, Australia.
Luke HoughtonDepartment of Business Strategy and Innovation, Griffith Business School, Griffith University, Nathan, QLD, 4100, Australia.
Dian TjondronegoroDepartment of Business Strategy and Innovation, Griffith Business School, Griffith University, Nathan, QLD, 4100, Australia.
Louis SanzogniDepartment of Business Strategy and Innovation, Griffith Business School, Griffith University, Nathan, QLD, 4100, Australia.
Md Zahidul IslamComputer Science and Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh.
Tapan SarkerUniversity of Southern Queensland, Brisbane, QLD, 4300, Australia.
Md Jahirul IslamGriffith Criminology Institute, Griffith University, Mt Gravatt, QLD, 4122, Australia.
Griffith University · AUKhulna University · BDUniversity of Southern Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic diseases within Indigenous communities constitute the most compelling ill-health burdens and treatment inequalities, particularly in rural and remote Australia. In response to these vital issues, a systematic literature review of the adoption of wearable, Artificial Intelligence-driven, electrocardiogram sensors, in a telehealth Internet of Medical Things (IoMT) context was conducted to scale up rural Indigenous health. To this end, four preselected scientific databases were chosen for data extraction to align with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) technique. From the initially collected (

Indexed as

Artificial intelligenceCardiovascular diseaseIndigenous populationInternet of medical thingsInternet of thingsMachine learningTelehealthWearable ECG sensors

Identifiers

PMID38074865
PMCPMC10700651
OpenAlexW4388776346

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.