Evidence map›Paper›PMID 33724494›Full record

SynthesisClinical cardiology2021

The efficacy of mobile health in alleviating risk factors related to the occurrence and development of coronary heart disease: A systematic review and meta-analysis.

Yue Xu, Hui Ye, Yuan Zhu, Shizheng Du, Guihua Xu, Qing Wang

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Clinical cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 8 pooled it
3.5field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 8 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Digital versus nondigital behavioral interventions on cardiovascular risk reduction: systematic review and meta-analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Trial
  11. Trial
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. 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

6 authors at 1 institution in 1 country.

Yue XuSchool of Nursing, Nanjing university of Chinese Medicine, Nanjing, Jiangsu Province, China.ORCID https://orcid.org/0000-0002-8574-1742
Hui YeSchool of Nursing, Nanjing university of Chinese Medicine, Nanjing, Jiangsu Province, China.
Yuan ZhuSchool of Nursing, Nanjing university of Chinese Medicine, Nanjing, Jiangsu Province, China.
Shizheng DuSchool of Nursing, Nanjing university of Chinese Medicine, Nanjing, Jiangsu Province, China.
Guihua XuSchool of Nursing, Nanjing university of Chinese Medicine, Nanjing, Jiangsu Province, China.ORCID https://orcid.org/0000-0003-3357-7714
Qing WangSchool of Nursing, Nanjing university of Chinese Medicine, Nanjing, Jiangsu Province, China.
Nanjing University of Chinese Medicine · CN

Funding

Nursing Advantageous Discipline Construction Project in Jiangsu Universities of Nanjing University of Chinese medicine 2019YSHL017
6 · The paper itself

Abstract

The association between the efficacy of mobile health and the occurrence and development of coronary heart disease (CHD) is still unclear. Mobile health can alleviate the risk factors for CHD. PubMed, EMbase, Web of Science, The Cochrane Library, CNKI, WanFang, and VIP databases were searched from inception through May 28, 2020. Randomized controlled trials of the effect of mobile health in alleviating the risk factors of CHD's occurrence and development were included. Risks of bias were assessed by two independent reviewers by using the RevMan 5.3, GRADEpro, and RoB2.0 to generate findings. Meta-analyses were performed to investigate the effects of mobile health on risk factors for CHD. Subgroup analyses were conducted. Sixteen randomized controlled trials, including 3898 patients with CHD, were included. Meta-analysis results showed that mobile health can reduce BMI (mean difference [MD] = - 1.24, 95% CI = - 2.02 to - 0.45, p < .05), waist circumference (MD = - 4.40, 95% CI = - 4.72 to - 4.08, p < .00001), total cholesterol (TC) level (MD = - 0.43, 95% CI = - 0.64 to - 0.22, p < 0.00001), low-density lipoprotein cholesterol (LDL-C) level (MD = - 0.31, 95% CI = - 0.48 to - 0.15, p < .05), diastolic blood pressure (MD = - 2.01, 95% CI = - 3.40 to - 0.623, p < .05), and depression (MD = - 8.32, 95% CI = - 12.83 to - 3.81, p < .05) and increase high-density lipoprotein cholesterol level (MD = 0.16, 95% CI = 0.01 to 0.32, p < .05) with statistically significant differences. The results of subgroup analyses indicated that the simple mobile health intervention has more remarkable advantages in reducing BMI, TC, LDL-C, and systolic blood pressure than the complex mobile health intervention. Mobile health can alleviate the risk factors for CHD and has a certain effect on the prevention and recovery of CHD. Simple mobile health has a remarkable advantage. Limited by the quantity and quality of included studies, future research enrolling high-quality studies should be taken to verify the above conclusions.

Indexed as

Coronary DiseaseTelemedicineBlood PressureCholesterol, LDLHumansRisk FactorsCholesterol, LDLcoronary heart diseasemeta-analysismhealthmobile healthrandomized controlled trialssystematic review

Identifiers

PMID33724494
PMCPMC8119799
OpenAlexW3138661888

What Socratic 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 Socratic graph.