Evidence map›Paper›PMID 39138350›Full record

SynthesisJournal of human hypertension2024

Effectiveness of biofeedback on blood pressure in patients with hypertension: systematic review and meta-analysis.

Sian Jenkins, Ainslea Cross, Hanad Osman, Farah Salim, Dan Lane, Dennis Bernieh, Kamlesh Khunti, Pankaj Gupta

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of human hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
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

8 authors.

Sian JenkinsDepartment of Population Health Sciences, University of Leicester, Leicester, UK.ORCID 0000-0003-1963-4495
Ainslea CrossSchool of Psychology and Vision Sciences, University of Leicester, Leicester, UK.
Hanad OsmanDepartment of Population Health Sciences, University of Leicester, Leicester, UK.ORCID 0000-0001-7404-1276
Farah SalimDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Dan LaneDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Dennis BerniehDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Kamlesh KhuntiDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK.
Pankaj GuptaDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK. Pankaj.gupta@uhl-tr.nhs.uk.ORCID 0000-0001-9481-6067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is the leading modifiable risk factor for cardiovascular disease, but less than 50% have their blood pressure controlled. A possible avenue to support hypertension management is a holistic approach, using non-pharmacological interventions. Since hypertension is mediated in part by dysregulation of the autonomic nervous system (ANS), biofeedback may help improve hypertension management by targeted self-regulation and self-awareness of parameters that regulate the ANS. This systematic review aimed to assess the effectiveness of biofeedback on blood pressure in hypertensive patients. The review was pre-registered on PROSPERO and followed the PICO strategy. A total of 1782 articles were retrieved, 20 met the inclusion criteria. Sample sizes ranged from 15 to 301 participants; with a median age of 49.3 (43.3-55.0) years and 45% were female. There was a significant effect of biofeedback on systolic (-4.52, Z = 2.31, P = 0.02, CI [-8.35, -0.69]) and diastolic blood pressure (-5.19, Z = 3.54, P = 0.0004, CI [-8.07, -2.32]). Six different biofeedback modalities were used, with biofeedback delivered by psychologists, trained therapists and research assistants. There was no publication bias, heterogeneity was rated as substantial and data quality was rated to be poor. This review demonstrated that biofeedback had a significant effect on blood pressure. However, this should be viewed in the context of included studies being limited by heterogeneity and dated literature, meaning the research does not reflect the current biofeedback technology such as wearable devices. Future research should incorporate these technologies with robust methodology to fully understand the effect of biofeedback on hypertension.

Indexed as

Biofeedback, PsychologyBlood PressureHypertensionAdultFemaleHumansMaleMiddle AgedTreatment Outcome

Identifiers

PMID39138350
PMCPMC11458477

What Socratic holds

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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.