Evidence map›Paper›PMID 36902749›Full record

ArticleJournal of clinical medicine2023

Evaluating Prescription Pattern and Effectiveness of Antihypertensive Drugs in Non-Operated Aortic Dissection Patients.

Yun-Hui Huang, Kai-Lin Chiu, Chuan-Wei Shen, Ming-Jong Bair, Chung-Yu Chen

Full text read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
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.

Yun-Hui HuangSchool of Pharmacy, Kaohsiung Medical University, Kaohsiung 80716, Taiwan.
Kai-Lin ChiuDepartment of Pharmacy, Kaohsiung Medical University Hospital, Kaohsiung 80716, Taiwan.
Chuan-Wei ShenSchool of Pharmacy, Kaohsiung Medical University, Kaohsiung 80716, Taiwan.
Ming-Jong BairMackay Medical College, New Taipei City 25245, Taiwan.
Chung-Yu ChenSchool of Pharmacy, Kaohsiung Medical University, Kaohsiung 80716, Taiwan.ORCID 0000-0001-7206-3957

Funding

Kaohsiung Medical University Chung-Ho Memorial Hospital KMUH110-M012
6 · The paper itself

Abstract

introductionAortic dissection (AD) is a life-threatening disease. However, the effectiveness of different strategies of antihypertensive therapies in non-operated AD patients is still unclear. MATERIALS AND

methodsPatients were classified into five groups (groups 0-4) based on the number of classes of antihypertensive drugs, including β-blockers, renin-angiotensin system (RAS) agents (angiotensin-converting enzyme inhibitors (ACEIs), angiotensin II receptor blockers (ARBs), and the renin-inhibitors), calcium channel blockers (CCBs), and other antihypertensive drugs, were prescribed within 90 days after discharge. The primary endpoint was a composite outcome of re-hospitalization associated with AD, referral for aortic surgery, and all-cause death.

resultsA total of 3932 non-operated AD patients were included in our study. The most prescribed antihypertensive drugs were CCBs, followed by β-blockers and ARBs. Within group 1, compared to other antihypertensive drugs, patients using RAS agents (aHR, 0.58;

conclusionFor non-operated AD patients, RAS agents, β-blockers, or CCBs should be given in a different strategy of combinations to reduce the hazard of AD-related complications compared to other agents.

Indexed as

antihypertensive drugsaortic dissectioneffectiveness

Identifiers

PMID36902749
PMCPMC10004205

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read31
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.