Evidence map›Paper›PMID 30668166›Full record

SynthesisGenetic testing and molecular biomarkers2019

β

Yanrong Li, Huiping Yuan, Liang Sun, Qi Zhou, Fan Yang, Ze Yang, Deping Liu

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Genetic testing and molecular biomarkers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. The role of theERJ open research · 2025
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  5. Review
  6. Functional network analysis reveals potential repurposing of β-blocker atenolol for pancreatic cancer therapy.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2020
    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

7 authors at 1 institution in 1 country.

Yanrong Li1 Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.
Huiping Yuan2 The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.
Liang Sun2 The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.
Qi Zhou2 The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.
Fan Yang2 The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.
Ze Yang2 The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.
Deping Liu1 Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.
Beijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsβ-Adrenergic receptors (ADRBs) play a pivotal role in cardiovascular disease. Recently, genetic polymorphisms of ADRB1 and ADRB2 have been suggested to be associated with cardiovascular events and all-cause mortality in coronary artery disease (CAD) patients, but the results of relevant studies are inconsistent and controversial. Therefore, we performed a meta-analysis to investigate the association between ADRB1 and ADRB2 polymorphisms with cardiovascular events and all-cause mortality in CAD patients. MATERIALS AND

methodsThe PubMed, Ovid, EMBASE, Cochrane, and CINAHL databases were searched for eligible studies published before April 2018. A total of 5495 patients from eight studies were included in our meta-analysis.

resultsWe found that CAD patients harboring the ADRB2 rs1042714 Glu27 allele exhibited a positive association with cardiovascular events (risk ratio [RR] = 1.31, 95% confidence interval [CI]: 1.08-1.58, p = 0.006), but not with all-cause mortality (RR = 0.97, 95% CI: 0.70-1.35, p = 0.859), compared with patients who were Gln27 homozygotes. No other significant associations were observed between ADRB1 (rs1801252, rs1801253), ADRB2 (rs1042713, rs1800888) polymorphisms and cardiovascular events or all-cause mortality in CAD patients.

conclusionThis study suggests that the identified ADRB2 polymorphism could influence the outcomes of CAD patients, showing important clinical value.

Indexed as

AgedAged, 80 and overAllelesCardiovascular DiseasesCoronary Artery DiseaseFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideProspective StudiesReceptors, Adrenergic, beta-1Receptors, Adrenergic, beta-2ADRB1 protein, humanADRB2 protein, humanReceptors, Adrenergic, beta-1Receptors, Adrenergic, beta-2coronary artery diseasemeta-analysispolymorphismβ-adrenergic receptor

Identifiers

PMID30668166
PMCPMC6383583
OpenAlexW2913726436

What OpenQuestion holds

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LicenceCC BY
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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.