Evidence map›Paper›PMID 29410832›Full record

ArticleRoyal Society open science2018

Prediction of cholesterol ratios within a Korean population.

Jin Sol Lee, Hyun Sub Cheong, Hyoung Doo Shin

Abstract read
In one paragraph

Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  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

3 authors.

Jin Sol LeeDepartment of Life Science, Sogang University, Baekbumro 35, Mapo-gu, Seoul 04107, Republic of Korea.
Hyun Sub CheongDepartment of Genetic Epidemiology, SNP Genetics, Inc., Taihard building 1007, Sogang University, Baekbumro 35, Mapo-gu, Seoul, Republic of Korea.
Hyoung Doo ShinDepartment of Life Science, Sogang University, Baekbumro 35, Mapo-gu, Seoul 04107, Republic of Korea.ORCID 0000-0003-1732-7838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholesterol ratios (total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-c) and triglyceride (TG)/HDL-c) have been suggested as better indicators to predict various clinical features such as insulin resistance and heart disease. Therefore, we aimed to build a single nucleotide polymorphism (SNP) set to predict constitutional lipid metabolism. The genotype data of 7795 samples were obtained from the Korea Association Resource. Among the total of 7795 samples, 7016 subjects were used to perform 10-fold cross-validation. We selected the SNPs that showed significance constantly throughout all 10 cross-validation sets; another 779 samples were used as the final validation set. After performing the 10-fold cross-validation, the six SNPs (

Indexed as

HDLpredictiontotal cholesteroltriglyceride

Identifiers

PMID29410832
PMCPMC5792909

What OpenQuestion holds

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Registered trials

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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.