Evidence map›Paper›PMID 36247446›Full record

ArticleFrontiers in cardiovascular medicine2022

Factors affecting the changes in antihypertensive medications in patients with hypertension.

Tae Kyu Chung, Yoomin Jeon, YeSol Hong, Suyeon Hong, Jun Sik Moon, Howard Lee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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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

6 authors at 2 institutions in 1 country.

Tae Kyu ChungDepartment of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea.
Yoomin JeonDepartment of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea.
YeSol HongCenter for Convergence Approaches in Drug Development, Seoul, South Korea.
Suyeon HongCenter for Convergence Approaches in Drug Development, Seoul, South Korea.
Jun Sik MoonCenter for Convergence Approaches in Drug Development, Seoul, South Korea.
Howard LeeDepartment of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea.
Seoul National University · KRSeoul National University of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As frequent changes in anti-hypertensive (HTN) medications may reduce adherence to the treatments, identifying modifiable factors leading to changes in anti-HTN medications can help clinicians optimize treatment strategies for individual patients. We performed this study to explore the pattern of anti-HTN medications and to identify factors that are associated with the changes in anti-HTN medications. To this end, we used a clinical database of Seoul National University Hospital, extracted, transformed, and loaded by the observational medical outcomes partnership common data model. Demographic and all recorded clinical diagnoses, medications, and procedures data of eligible subjects were collected. Of 636 subjects who were eligible for this study, 297 subjects with a record of ≥1 anti-HTN medication changes and other 297 subjects without a record of medication change were selected for the study population. High diastolic blood pressure (adjusted odds ratio [OR]: 1.02, 95% confidence interval [CI]: 1.001-1.040,

Indexed as

anti-hypertensive medicationcardiovascular diseasecommon data modelepidemiologyhypertension

Identifiers

PMID36247446
PMCPMC9561640
OpenAlexW4298146515

What OpenQuestion 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 OpenQuestion graph.