Evidence map›Paper›PMID 34114961›Full record

SynthesisJMIR mHealth and uHealth2021

Effects of Telemedicine and mHealth on Systolic Blood Pressure Management in Stroke Patients: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Meina Lv, Tingting Wu, Shaojun Jiang, Wenjun Chen, Jinhua Zhang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% 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, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  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

5 authors at 1 institution in 1 country.

Meina Lv *Department of Pharmacy, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China.ORCID 0000-0002-3900-7723
Tingting Wu *Department of Pharmacy, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China.ORCID 0000-0002-0812-2059
Shaojun JiangDepartment of Pharmacy, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China.ORCID 0000-0002-6722-0978
Wenjun ChenDepartment of Pharmacy, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China.ORCID 0000-0001-5407-5110
Jinhua ZhangDepartment of Pharmacy, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China.ORCID 0000-0002-5629-0348
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is a common, harmful disease with high recurrence and mortality rates. Uncontrolled blood pressure is an important and changeable risk factor for stroke recurrence. Telemedicine and mobile health (mHealth) interventions may have the potential to facilitate the control of blood pressure among stroke survivors, but their effect has not been established.

objectiveThis systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to estimate the effects of telemedicine and mHealth interventions on the control of systolic blood pressure among stroke survivors.

methodsThe research literature published up to June 28, 2020, and consisting of RCTs related to telemedicine and mHealth interventions was searched in PubMed, EMBASE, Web of Science, and the Cochrane Library. The Cochrane risk of bias tool (RoB 2.0) was used to evaluate the quality of the studies. The Cochran Q test and I

resultsIn total, 9 RCTs with a total sample size of 1583 stroke survivors met the inclusion criteria. Compared with the usual care, telemedicine and mHealth had a significantly greater impact on the control of systolic blood pressure (MD -5.49; 95% CI -7.87 to -3.10; P<.001; 95% PI -10.46 to -0.51). A subgroup analysis showed that the intervention mode of telephone plus SMS text messaging (MD -9.09; 95% CI -12.71 to -5.46; P<.001) or only telephone (MD -4.34; 95% CI -6.55 to -2.13; P<.001; 95% PI -7.24 to -1.45) had a greater impact on the control of systolic blood pressure than usual care. Among the stroke survivors with an intervention interval ≤1 week (MD -6.51; 95% CI -9.36 to -3.66; P<.001; 95% PI -12.91 to -0.10) or a baseline systolic blood pressure ≥140 mm Hg (MD -6.15; 95% CI -9.44 to -2.86; P<.001; 95% PI -13.55 to 1.26), the control of systolic blood pressure using telemedicine and mHealth was better than that of usual care.

conclusionsIn general, telemedicine and mHealth reduced the systolic blood pressure of stroke survivors by an average of 5.49 mm Hg compared with usual care. Telemedicine and mHealth are a relatively new intervention mode with potential applications for the control of systolic blood pressure among stroke survivors, especially those with hypertensive stroke.

Indexed as

HypertensionStrokeTelemedicineBlood PressureHumansRandomized Controlled Trials as Topicmeta-analysismHealthself-managementstrokesystolic blood pressuretelemedicine

Identifiers

PMID34114961
PMCPMC8235282
OpenAlexW3172102065

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.