Evidence map›Paper›PMID 32078105›Full record

ArticleInternational journal of clinical pharmacy2020

Trends of antihypertensive agents in patients with hypertension and coronary artery disease in a tertiary hospital of China.

Yingming Zheng, Dandan Li, Na Zeng, Heng Guo, Hongwei Li, Su Shen

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in International journal of clinical pharmacy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06326996 (Thiamine Intervention and Cognition in Older Adults Undergoing Coronary Artery Bypass Grafting - A Randomized Clinical Trial.), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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.

NCT06326996 early_phase1recruitingnot on this mapstarted 2024, after this paper: background citation

Thiamine Intervention and Cognition in Older Adults Undergoing Coronary Artery Bypass Grafting - A Randomized Clinical Trial.

TypeinterventionalSponsorUniversity of California, Los AngelesRan2024 to 2026Enrolled52ConditionsCoronary Heart Disease, Coronary Artery Bypass GraftingArmsThiamine, Placebo
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Management of Hypertension in the Asia-Pacific Region: A Structured Review.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2024
    Review
  3. 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

6 authors at 1 institution in 1 country.

Yingming Zheng *Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, China.
Dandan Li *Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, China.
Na ZengClinical Epidemiology and EBM Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Heng GuoDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, China.
Hongwei LiCardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Su ShenDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, China. shensu11022000@163.com.ORCID http://orcid.org/0000-0002-3140-7028
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Except for hypertension control, antihypertensive agents play an essential role in the secondary prevention of coronary artery disease. Objective This study aimed to describe the use of antihypertensive agents in patients with hypertension and coronary artery disease by assessing the compliance to the updated European and Chinese hypertension guidelines through analyzing the frequencies, monthly trends and the influencing factors of antihypertensive agents. Setting Beijing Friendship Hospital, Capital Medical University, a 2000-bed tertiary Chinese university teaching hospital. Method Prescriptions of patients diagnosed with hypertension and coronary artery disease were extracted from medical records of this tertiary hospital from 2013 to 2016. Frequencies, trends, co-existing prescription patterns of five classes of antihypertensive agents were analyzed. Influencing factors of prescription patterns were evaluated by logistic regression. Main outcome measure The frequencies and monthly trends of different antihypertensive agents within four years. Result In total, 286,155 prescriptions met the inclusion criteria. β-blockers (64,0%) were the most widely used antihypertensive agents, followed by calcium channel blockers (53.57%), angiotensin receptor blockers (42.6%), angiotensin-converting-enzyme inhibitors (23.7%) and diuretics (16.4%). During the 4 years, frequencies of β-blockers, angiotensin receptor blockers, calcium channel blockers and diuretics increased over time, while that of angiotensin-converting-enzyme inhibitors declined. Multivariate logistic regression indicated that gender, age and comorbidities including stroke, diabetes, heart failure and arrhythmia could affect antihypertensive selections to varying degrees. Conclusion The compliance to guidelines is overall well for patients with hypertension and coronary artery disease, but improvements is needed for patients with type 2 diabetes. Multi-center studies with large-scale data are required to further assess the usage of antihypertensive agents in patients.

Indexed as

AgedAntihypertensive AgentsChinaCoronary Artery DiseaseCross-Sectional StudiesDrug Therapy, CombinationElectronic Health RecordsFemaleHumansHypertensionMaleMiddle AgedRetrospective StudiesTertiary Care CentersAntihypertensive AgentsChinaCoronary artery diseaseElectronic medical recordGuidelinesHypertensionPrescription trends

Identifiers

PMID32078105
OpenAlexW3006911636

What OpenQuestion holds

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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.