Evidence map›Paper›PMID 28121920›Full record

SynthesisMedicine2017

Nonadherence to antihypertensive drugs: A systematic review and meta-analysis.

Tadesse Melaku Abegaz, Abdulla Shehab, Eyob Alemayehu Gebreyohannes, Akshaya Srikanth Bhagavathula, Asim Ahmed Elnour

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

Synthesis in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05179343 (Sham Controlled RCT Evaluating the Safety, Acceptability and Efficacy of Autonomic Neuromodulation Using Trans-cutaneous Vagal Stimulation in Uncontrolled Hypertensive Patients), which is not on this map. Cited by 258 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
258citing papers in PubMed, 18 pooled it
32.8field-weighted citation impact, top 1% 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.

NCT05179343 nacompletednot on this mapstarted 2022, after this paper: background citation

Sham Controlled RCT Evaluating the Safety, Acceptability and Efficacy of Autonomic Neuromodulation Using Trans-cutaneous Vagal Stimulation in Uncontrolled Hypertensive Patients: a Pilot Study

TypeinterventionalSponsorQueen Mary University of LondonRan2022 to 2025Enrolled63ConditionsUncontrolled Hypertension, High Blood PressureArmsActive AffeX-CT device, Sham AffeX-CT device
3 · Its place in the literature

Who cites it

258 citing papers in PubMed, 18 syntheses or guidelines pooled it, 489 citations in OpenAlex.

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  13. Roselle for hypertension in adults.The Cochrane database of systematic reviews · 2021
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  20. Improvement of non-adherence and reduction of BP values in patients with difficult-to-treat hypertension: the ATHAN clinical trial.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
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198 more citing papers are in PubMed but not listed here.

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 4 countries.

Tadesse Melaku AbegazDepartment of Clinical Pharmacy, College of Medicine and Health Sciences, School of Pharmacy, University of Gondar, Gondar, Ethiopia Department of Internal Medicine, College of Medicine and Health Sciences, UAE University Department of Clinical Pharmacy, Faculty of Pharmacy, Fathima College of Health Sciences, Al Ain, UAE.
Abdulla Shehab
Eyob Alemayehu Gebreyohannes
Akshaya Srikanth Bhagavathula
Asim Ahmed Elnour
Apple (Israel) · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension drives the global burden of cardiovascular disease and its prevalence is estimated to increase by 30% by the year 2025. Nonadherence to chronic medication regimens is common; approximately 43% to 65.5% of patients who fail to adhere to prescribed regimens are hypertensive patients. Nonadherence to medications is a potential contributing factor to the occurrence of concomitant diseases.

objectiveThis systematic review applied a meta-analytic procedure to investigate the medication nonadherence in adult hypertensive patients.

methodsOriginal research studies, conducted on adult hypertensive patients, using the 8-item Morisky medication adherence scale (MMAS-8) to assess the medication adherence between January 2009 and March 2016 were included. Comprehensive search strategies of 3 databases and MeSH keywords were used to locate eligible literature. Study characteristics, participant demographics, and medication adherence outcomes were recorded. Effect sizes for outcomes were calculated as standardized mean differences using random-effect model to estimate overall mean effects.

resultsA total of 28 studies from 15 countries were identified, in total comprising of 13,688 hypertensive patients, were reviewed. Of 25 studies included in the meta-analysis involving 12,603 subjects, a significant number (45.2%) of the hypertensive patients and one-third (31.2%) of the hypertensive patients with comorbidities were nonadherent to medications. However, a higher proportion (83.7%) of medication nonadherence was noticed in uncontrolled blood pressure (BP) patients. Although a higher percentage (54%) of nonadherence to antihypertensive medications was noticed in females (P < 0.001), the risk of nonadherence was 1.3 times higher in males, with a relative risk of 0.883. Overall, nearly two-thirds (62.5%) of the medication nonadherence was noticed in Africans and Asians (43.5%).

conclusionNonadherence to antihypertensive medications was noticed in 45% of the subjects studied and a higher proportion of uncontrolled BP (83.7%) was nonadherent to medication. Intervention models aiming to improve adherence should be emphasized.

Indexed as

Drug MonitoringAdultAgedAntihypertensive AgentsFemaleHumansHypertensionMaleMiddle AgedSex FactorsAntihypertensive Agents

Identifiers

PMID28121920
PMCPMC5287944
OpenAlexW2582461952

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.