Evidence map›Paper›PMID 34583801›Full record

ReviewPrimary health care research & development2021

Telemedicine maybe an effective solution for management of chronic disease during the COVID-19 epidemic.

Huan Wang, Xiaojie Yuan, Jiping Wang, Chenglin Sun, Guixia Wang

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Primary health care research & development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06957093 (Evaluation of the Therapeutic Efficacy and Safety of Artificial Intelligence-based Decision-making Technology in the Integrated Management of Diabetes Mellitus), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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.

NCT06957093 narecruitingnot on this mapstarted 2025, after this paper: background citation

Evaluation of the Therapeutic Efficacy and Safety of Artificial Intelligence-based Decision-making Technology in the Integrated Management of Diabetes Mellitus: a Longitudinal, Open-labeled, Randomized Controlled Trial

TypeinterventionalSponsorThe First Hospital of Jilin UniversityRan2025 to 2026Enrolled400ConditionsDiabetes Mellitus Type 2 (T2DM), Artificial Intelligence (AI)Armsartificial intelligence, Routine diagnosis and treatment group for diabetes
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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  16. COVID-19 pandemic and hypertension: an updated report from the Japanese Society of Hypertension project team on COVID-19.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review
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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

5 authors at 1 institution in 1 country.

Huan WangDepartment of Endocrinology and Metabolism, First Hospital of Jilin University, ChangchunJilin, China.ORCID 0000-0003-4683-963X
Xiaojie YuanDepartment of Clinical Nutrition, First Hospital of Jilin University, ChangchunJilin, China.ORCID 0000-0003-2690-422X
Jiping WangDepartment of Clinical Nutrition, First Hospital of Jilin University, ChangchunJilin, China.ORCID 0000-0003-2489-1074
Chenglin Sun *Department of Endocrinology and Metabolism, First Hospital of Jilin University, ChangchunJilin, China.ORCID 0000-0003-3570-1918
Guixia Wang *Department of Endocrinology and Metabolism, First Hospital of Jilin University, ChangchunJilin, China.ORCID 0000-0001-9885-225X
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimBased on the development of telemedicine and the experience of using it during the COVID-19 epidemic, we aimed to explore its convenience and shortcomings to provide a reference for the further improvement of telemedicine.

backgroundTraditional healthcare has been significantly affected by the outbreak of COVID-19, which has increased fear in patients with chronic diseases and increased the difficulty of obtaining hospitalized treatment.

methodsThis is a conceptual article. The literature search is based on Pubmed, including articles published between January 2015 and December 2020. The purpose was to determine whether telemedicine is effective in the management of chronic diseases in the epidemic situation and to develop telemedicine and chronic disease management for long-term epidemic situations in the future.

findingsTelemedicine has demonstrated its advantages during the COVID-19 epidemic and can provide diversified clinical care services for patients with chronic diseases; these services have played a vital role in epidemic prevention and control, greatly alleviated the shortage of medical resources, increased the utilization level of medical resources, and reduced the cross-infection risk during treatment in hospitals. Furthermore, the epidemic situation presents opportunities for the development of diagnosis and treatment methods via the internet and active health management modalities.

Indexed as

COVID-19EpidemicsTelemedicineChronic DiseaseHumansSARS-CoV-2chronic disease managementCOVID-19 epidemictelemedicine

Identifiers

PMID34583801
PMCPMC8488977
OpenAlexW3204410886

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.