Evidence map›Paper›PMID 33364935›Full record

ReviewFrontiers in pharmacology2020

Tailored Interventions to Improve Medication Adherence for Cardiovascular Diseases.

Hai-Yan Xu, Yong-Ju Yu, Qian-Hui Zhang, Hou-Yuan Hu, Min Li

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  10. Improving medication adherence in cardiovascular disease.The British journal of cardiology · 2026
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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 2 institutions in 1 country.

Hai-Yan XuDepartment of Military Psychology, School of Psychology, Army Medical University, Chongqing, China.
Yong-Ju YuDepartment of Social Work, School of Sociology and Law, Sichuan International Studies University, Chongqing, China.
Qian-Hui ZhangDepartment of Foreign Languages, School of Basic Medicine, Army Medical University, Chongqing, China.
Hou-Yuan HuDepartment of Cardiology, Southwest Hospital, Army Medical University, Chongqing, China.
Min LiDepartment of Military Psychology, School of Psychology, Army Medical University, Chongqing, China.
Army Medical University · CNSichuan International Studies University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past half-century, medical research on cardiovascular disease (CVD) has achieved a great deal; however, medication adherence is unsatisfactory. Nearly 50% of patients do not follow prescriptions when taking medications, which limits the ability to maximize their therapeutic effects and results in adverse clinical outcomes and high healthcare costs. Furthermore, the effects of medication adherence interventions are disappointing, and tailored interventions have been proposed as an appropriate way to improve medication adherence. To rethink and reconstruct methods of improving medication adherence for CVD, the literature on tailored interventions for medication adherence focusing on CVD within the last 5 years is retrieved and reviewed. Focusing on identifying nonadherent patients, detecting barriers to medication adherence, delivering clinical interventions, and constructing theories, this article reviews the present state of tailored interventions for medication adherence in CVD and also rethinks the present difficulties and suggests avenues for future development.

Indexed as

barriers to medication adherencecardiovascular diseasemedication adherencemedication adherence interventionstailored interventions

Identifiers

PMID33364935
PMCPMC7751638
OpenAlexW3101184550

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.