Evidence map›Paper›PMID 31250580›Full record

ArticleYonsei medical journal2019

Associations for

Tian Yu Zhao, Zheng Li, Song Lei, Liu Huang, Lei Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Yonsei medical journal, 2019. 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
0.7field-weighted citation impact, top 35% 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, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Mechanistic understanding of β-cryptoxanthin and lycopene in cancer prevention in animal models.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2020
    Review
  3. Review
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 2 institutions in 1 country.

Tian Yu ZhaoMedical School, Shihezi University, Shihezi, Xinjiang, China.ORCID https://orcid.org/0000-0002-4424-7959
Zheng LiMedical School, Hangzhou Normal University, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-7335-6599
Song LeiMedical School, Shihezi University, Shihezi, Xinjiang, China.ORCID https://orcid.org/0000-0001-9517-1088
Liu HuangMedical School, Hangzhou Normal University, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-0827-7210
Lei YangMedical School, Hangzhou Normal University, Hangzhou, Zhejiang, China. yanglei62@hznu.edu.cn.ORCID https://orcid.org/0000-0001-7618-9936
Hangzhou Normal University · CNShihezi University · CN

Funding

Science and Technology Innovation 2011R50021
6 · The paper itself

Abstract

purposeTo investigate associations for polymorphisms in β-carotene 9',10'-oxygenase ( MATERIALS AND

methodsThis nested case-control study included 161 patients with IS and 483 matched control individuals. We collected medical reports, lifestyle details, and blood samples from individuals and used the PCR-ligase detection reaction method to genotype single nucleotide polymorphisms (SNPs).

resultsThe GA+AA genotype of rs10431036 (

conclusionPolymorphisms in

Indexed as

Life StylePolymorphism, Single NucleotideAgedBrain IschemiaCase-Control StudiesDioxygenasesFemaleGene FrequencyGenotypeHumansIntracellular Signaling Peptides and ProteinsMiddle AgedProprotein Convertase 9Protein Serine-Threonine KinasesStrokeBCO2 protein, humanDioxygenasesIntracellular Signaling Peptides and ProteinsPCSK9 protein, humanProprotein Convertase 9Protein Serine-Threonine KinasesTRIB1 protein, humanBCO2ischemic strokePCSK9polymorphismTR1B1

Identifiers

PMID31250580
PMCPMC6597471
OpenAlexW2955681443

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.