Evidence map›Paper›PMID 21464050›Full record

SynthesisCirculation2011

Meta-analysis: impact of drug class on adherence to antihypertensives.

Ian M Kronish, Mark Woodward, Ziad Sergie, Gbenga Ogedegbe, Louise Falzon, Devin M Mann

Abstract readMeta-Analysis
In one paragraph

Synthesis in Circulation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 5 pooled it
–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

70 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  4. Cumulative childhood adversity and adult cardiometabolic disease: A meta-analysis.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2018
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ian M KronishDivision of General Internal Medicine, Mount Sinai School of Medicine, New York, NY, USA. ian.kronish@mssm.edu
Mark Woodward
Ziad Sergie
Gbenga Ogedegbe
Louise Falzon
Devin M Mann

Funding

Diabetes Risk Communication Tool to Improve Lifestyle BehaviorsK23DK081665 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MANN, DEVIN M · 2009 to 2013
$875k
Uncontrolled hypertension - the role of medication adherence and clinical inertiaK23HL098359 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KRONISH, IAN MATTHEW · 2010 to 2014
$688k
Controlled Randomized Anger Reduction in HypertensivesK23HL004458 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI DAVIDSON, KARINA W. · 2001 to 2005
$644k
NHLBI NIH HHS 1K23HL098359NHLBI NIH HHS HL04458-05NHLBI NIH HHS K23 HL004458NHLBI NIH HHS K23 HL098359NIDDK NIH HHS 1K23DK081665NIDDK NIH HHS K23 DK081665
6 · The paper itself

Abstract

backgroundObservational studies suggest that there are differences in adherence to antihypertensive medications in different classes. Our objective was to quantify the association between antihypertensive drug class and adherence in clinical settings. METHODS AND

resultsStudies were identified through a systematic search of English-language articles published from the inception of computerized databases until February 1, 2009. Studies were included if they measured adherence to antihypertensives using medication refill data and contained sufficient data to calculate a measure of relative risk of adherence and its variance. An inverse-variance-weighted random-effects model was used to pool results. Hazard ratios (HRs) and odds ratios were pooled separately, and HRs were selected as the primary outcome. Seventeen studies met inclusion criteria. The pooled mean adherence by drug class ranged from 28% for β-blockers to 65% for angiotensin II receptor blockers. There was better adherence to angiotensin II receptor blockers compared with angiotensin-converting enzyme inhibitors (HR, 1.33; 95% confidence interval, 1.13 to 1.57), calcium channel blockers (HR, 1.57; 95% confidence interval, 1.38 to 1.79), diuretics (HR, 1.95; 95% confidence interval, 1.73 to 2.20), and β-blockers (HR, 2.09; 95% confidence interval, 1.14 to 3.85). Conversely, there was lower adherence to diuretics compared with the other drug classes. The same pattern was present when studies that used odds ratios were pooled. After publication bias was accounted for, there were no longer significant differences in adherence between angiotensin II receptor blockers and angiotensin-converting enzyme inhibitors or between diuretics and β-blockers.

conclusionIn clinical settings, there are important differences in adherence to antihypertensives in separate classes, with lowest adherence to diuretics and β-blockers and highest adherence to angiotensin II receptor blockers and angiotensin-converting enzyme inhibitors. However, adherence was suboptimal regardless of drug class.

Indexed as

Medication AdherenceAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAntihypertensive AgentsCalcium Channel BlockersDiureticsHumansHypertensionAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAntihypertensive AgentsCalcium Channel BlockersDiuretics

Identifiers

PMID21464050
PMCPMC3084582

What OpenQuestion holds

Textmetadata
LicenceTDM
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.