Evidence map›Paper›PMID 24093218›Full record

SynthesisBMC medical genetics2013

Effects of vitamin D receptor polymorphisms on urolithiasis risk: a meta-analysis.

Pan Zhang, Wei Nie, Hong Jiang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 5 pooled it
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 5 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Relationship Between theFrontiers in genetics · 2020
    Pooled it
  5. Pooled it
  6. Article
  7. Genetics of kidney stone disease.Nature reviews. Urology · 2020
    Review
  8. Article
  9. 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 at 3 institutions in 1 country.

Pan ZhangDepartment of Nephrology, the First People's Hospital of Jingzhou City, the First Hospital of Yangtze University, Jingzhou, Hubei Province 434000, China. drjianghong@163.com.
Wei Nie
Hong Jiang
First People's Hospital of Jingzhou · CNShanghai Changzheng Hospital · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies analyzed the associations of Vitamin D receptor (VDR) polymorphisms with urolithiasis risk in different ethnic groups. However, the results were inconclusive. To evaluate a more precise estimation of the relationship, a meta-analysis was performed.

methodsPubmed, EMBASE, Wanfang Database, China National Knowledge Infrastructure (CNKI) and Weipu Database were searched. Data were extracted independently by two investigators. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of associations.

resultsTwenty-three case-control studies were included in this meta-analysis. Significant associations between ApaI, BsmI, FokI, and TaqI polymorphisms and urolithiasis risk were observed. However, sensitivity analyses for BsmI and FokI polymorphisms indicated that the results were not reliable and credible. In addition, there was a significant association of the ApaI-TaqI haplotype with urolithiasis risk.

conclusionsThis meta-analysis suggested that ApaI and TaqI polymorphisms in VDR gene were associated with urolithiasis risk.

Indexed as

Polymorphism, GeneticCase-Control StudiesDatabases, GeneticDeoxyribonucleases, Type II Site-SpecificDisease SusceptibilityHaplotypesHumansOdds RatioReceptors, CalcitriolRisk FactorsUrolithiasisDeoxyribonucleases, Type II Site-SpecificReceptors, Calcitriol

Identifiers

PMID24093218
PMCPMC3850980
OpenAlexW2090778780

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.