Evidence map›Paper›PMID 37594650›Full record

Observational studyCardiovascular drugs and therapy2024

Effect of Beta-Blocker on Long-Term Major Cardiovascular Events in High Atherosclerotic Risk Population.

Nichanan Osataphan, Kamol Udol, Khanchai Siriwattana, Bancha Sukanandachai, Siriluck Gunaparn, Wachiranun Sirikul, Arintaya Phrommintikul, Wanwarang Wongcharoen

Abstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Cardiovascular drugs and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. 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

8 authors at 4 institutions in 1 country.

Nichanan OsataphanDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Kamol UdolDivision of Cardiovascular and Metabolic Disease Prevention, Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Khanchai SiriwattanaDepartment of Medicine, Nakornping Hospital, Chiang Mai, Thailand.
Bancha SukanandachaiDepartment of Internal Medicine, Maharat Nakhon Ratchasima Hospital, Nakhon Ratchasima, Thailand.
Siriluck GunaparnDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Wachiranun SirikulDepartment of Community Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Arintaya PhrommintikulDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand. arintayap@yahoo.com.ORCID 0000-0003-3986-1951
Wanwarang WongcharoenDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand. bwanwarang@yahoo.com.ORCID 0000-0002-2418-329X
Chiang Mai University · THMaharat Nakhon Ratchasima Hospital · THNakornping Hospital · THSiriraj Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBeta-blocker is a frequently used medication in cardiovascular diseases. However, long-term benefit of beta-blocker in patients with preserved left ventricular ejection function (LVEF) on major adverse cardiovascular events (MACEs) is uncertain.

methodsThe Cohort Of patients with high Risk for cardiovascular Events (CORE-Thailand) was a prospective study that enrolled Thai patients with high atherosclerotic risk including multiple atherosclerotic risk factors and established atherosclerotic cardiovascular diseases. Baseline demographic data, co-morbidities and medication were recorded. Patients were followed for 5 years. Patients with LVEF<50% were excluded. Primary outcome was the effect of beta-blocker on the occurrence of MACEs including all-cause death, non-fatal myocardial infarction and non-fatal stroke (3P-MACEs). Propensity score matching was used to control confounding factors.

resultsThere was a total of 8513 patients in the pre-matched cohort, 4418 were taking beta-blocker and 4095 were not. After adjustment of confounders, beta-blocker was an independent predictor of 3P-MACEs (adjusted HR 1.29;95% CI 1.12-1.49;p<0.001). After propensity score matching, 4686 patients remained in the post-matched cohort. Propensity score analysis showed consistent results in which patient taking beta-blocker had higher risk of 3P-MACEs (adjusted HR 1.29;95% CI 1.10-1.53;p=0.002). Subgroup analysis in patients with coronary artery disease (CAD) indicated that taking beta-blocker did not increase the incidence of 3P-MACEs (adjusted HR 0.99;95% CI 0.76-1.29) while those without CAD did (adjusted HR 1.51; 95% CI, 1.22-1.86;p-interaction=0.015).

conclusionIn patients with high atherosclerotic cardiovascular risk, taking beta-blockers had a higher risk of 3P-MACEs. Care should be taken when prescribing beta-blockers to patients without a clear indication.

trial registrationTCTR20130520001 registered in Thai Clinical Trials Registry (TCTR) https://www.thaiclinicaltrials.org/ , date of registration 20 May 2013.

Indexed as

Adrenergic beta-AntagonistsAtherosclerosisAgedFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedMyocardial InfarctionProspective StudiesRisk AssessmentRisk FactorsStrokeStroke VolumeThailandTime FactorsAdrenergic beta-AntagonistsAtherosclerosisBeta-blockerCardiovascular risk factorsCoronary artery diseasePeripheral artery diseaseStroke

Identifiers

PMID37594650
OpenAlexW4385969467

What OpenQuestion holds

Textmetadata
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.