Evidence map›Paper›PMID 38388501›Full record

ArticleBMJ open2024

Telemedicine interventions in type 2 diabetes management: a protocol for systematic review and network meta-analysis.

Wasan Maaitah, Osama Abdelhay, Ayla Tourkmani, Mohammad Azzeh, Mohammad S Abu-Soud, Serin Atiani

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 12% 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, 3 citations in OpenAlex.

  1. Review
  2. Observational
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

6 authors at 2 institutions in 2 countries.

Wasan MaaitahDepartment of Data Science, Princess Sumaya University for Technology, Amman, Jordan.ORCID 0009-0001-1844-8001
Osama AbdelhayDepartment of Data Science, Princess Sumaya University for Technology, Amman, Jordan o.abdelhay@psut.edu.jo.
Ayla TourkmaniPrince Sultan Military Medical City, Riyadh, Saudi Arabia.
Mohammad AzzehDepartment of Data Science, Princess Sumaya University for Technology, Amman, Jordan.
Mohammad S Abu-SoudDepartment of Data Science, Princess Sumaya University for Technology, Amman, Jordan.
Serin AtianiDepartment of Data Science, Princess Sumaya University for Technology, Amman, Jordan.
Princess Sumaya University for Technology · JORiyadh Armed Forces Hospital · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe consequences of type 2 diabetes mellitus (T2DM) heavily strain individuals and healthcare systems worldwide. Interventions via telemedicine have become a potential tactic to tackle the difficulties in effectively managing T2DM. However, more research is needed to determine how telemedicine interventions affect T2DM management. This study sets out to systematically analyse and report the effects of telemedicine treatments on T2DM management to gain essential insights into the potential of telemedicine as a cutting-edge strategy to improve the outcomes and care delivery for people with T2DM. METHODS AND ANALYSIS: To uncover relevant research, we will perform a comprehensive literature search across six databases (PubMed, IEEE, EMBASE, Web of Science, Google Scholar and Cochrane Library). Each piece of data will be extracted separately, and any discrepancies will be worked out through discussion or by a third reviewer. The studies included are randomised controlled trial. We chose by predefined inclusion standards. After the telemedicine intervention, glycated haemoglobin will be the primary outcome. The Cochrane risk-of-bias approach will be used to evaluate the quality of the included studies. RevMan V.5.3.5 software and RStiduo V.4.3.1 software can be used to analyse the data, including publication bias. ETHICS AND DISSEMINATION: Since this research will employ publicly accessible documents, ethical approval is unnecessary. The review is registered prospectively on the PROSPERO database. The study's findings will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42023421719.

Indexed as

Diabetes Mellitus, Type 2Research DesignSystematic Reviews as TopicTelemedicineGlycated HemoglobinHumansNetwork Meta-Analysis as TopicGlycated Hemoglobindiabetes & endocrinologypublic healthsystematic reviewtelemedicine

Identifiers

PMID38388501
PMCPMC10884257
OpenAlexW4392787271

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.