Evidence map›Paper›PMID 31966727›Full record

ArticleInternational journal of clinical and experimental pathology2017

Association between vitamin D receptor genetic polymorphisms and haplotypes and risk of lumbar degenerative disc disease in a Chinese population.

Yu Fang, Bin Yu, Yong Yang, Gang Liu, Su Yi La Tu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 1 country.

Yu FangDepartment of Orthopedics and Traumatology, Nanfang Hospital, Southern Medical University Guangzhou, China.
Bin YuDepartment of Orthopedics and Traumatology, Nanfang Hospital, Southern Medical University Guangzhou, China.
Yong YangDepartment of Orthopedics, Affiliated Hospital of Inner Mongolia Medical University Hohhot, China.
Gang LiuDepartment of Orthopedics, Affiliated Hospital of Inner Mongolia Medical University Hohhot, China.
Su Yi La TuDepartment of Orthopedics, Affiliated Hospital of Inner Mongolia Medical University Hohhot, China.
Inner Mongolia Medical University · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Degenerative disc disease is a continuous degeneration process of intervertebral discs. We performed a case-control study to investigate the association between 16 common SNPs of VDR and degenerative disc disease risk in a Chinese population. A total of 482 pairs of patients with degenerative disc disease and controls were collected between May 2014 and May 2016. The genotyping of VDR rs1544410, rs2239181, rs2107301, rs2239179, rs2189480, rs3819545, rs2239186, rs2254210, rs2238136, rs4760648, rs11168287, rS4328262, rS4334089, rs3890733, rs10783219 and rS7299460 was done in a 384-well plate format on the sequenom MassARRAY platform (Sequenom, San Diego, USA). We observed that the TC (OR=2.13, 95% CI=1.34-3.40) and CC (OR=2.73, 95% CI=1.75-4.28) genotypes of rs2239179 were associated with an increased risk of degenerative disc disease when compared with the TT genotype. However, there was no significant correlation between other fifth SNPs of VDR and degenerative disc disease risk. The haplotype analysis revealed that the rs2239179 had linkage disequilibrium with rs2107301 (D'=0.97, r

Indexed as

degenerative disc diseasehaplotypepolymorphismVDR

Identifiers

PMID31966727
PMCPMC6965387
OpenAlexW3026833420

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.