Evidence map›Paper›PMID 28882953›Full record

ArticleIn vivo (Athens, Greece)

Huseyin Ayhan, Uzay Gormus, Selim Isbir, Seda Gulec Yilmaz, Turgay Isbir

Open access · diamondAbstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 34% 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, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Pharmaceutical biology · 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

5 authors at 3 institutions in 1 country.

Huseyin AyhanDepartment of Molecular Medicine, Yeditepe University, Istanbul, Turkey.
Uzay GormusDepartment of Medical Genetics, Faculty of Medicine, Istinye University, Istanbul, Turkey.
Selim IsbirDepartment of Cardiovascular Surgery, Marmara University, Istanbul, Turkey.
Seda Gulec YilmazDepartment of Molecular Medicine, Yeditepe University, Istanbul, Turkey.
Turgay IsbirDepartment of Medical Biology, Yeditepe University, Istanbul, Turkey turgay.isbir@yeditepe.edu.tr tisbir@superonline.com.
Yeditepe University · TRIstinye University · TRMarmara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimCardiovascular diseases are a leading cause of mortality and morbidity worldwide. Polymorphisms in the SCARB1 gene are known to be related to plasma lipids. PATIENTS AND

methodsReal time-polymerase chain reaction (RT-PCR) was used for identification of SCARB1 polymorphisms and the Lipoprint Quantimetrix System was employed in identification of HDL subfractions.

resultsAccording to allelic distribution, in both groups SCARB1 AA genotype led to a two-fold decrease in the risk of developing cardiovascular disease (p=0.04), while the GA genotype increased the risk two-fold (p=0.03). According to the HDL subfraction analysis results, the AA genotype had higher levels of big-sized HDL subfraction (p=0.02).

conclusionThe SCARB1AA genotype decreased cardiovascular risk and carrying GA genotype and G allele increased the risk of CAD. AA genotype carriers had higher levels of big-sized HDL subfraction.

Indexed as

Disease SusceptibilityPolymorphism, Single NucleotideAgedAllelesCase-Control StudiesComorbidityCoronary Artery DiseaseFemaleGene FrequencyGenetic Association StudiesGenotypeHumansLipoproteins, HDLMaleMiddle AgedScavenger Receptors, Class BLipoproteins, HDLSCARB1 protein, humanScavenger Receptors, Class BCoronary artery diseaseHDL subfractionspolymorphismSCARB1

Identifiers

PMID28882953
PMCPMC5656860
OpenAlexW2750857493

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.