Evidence map›Paper›PMID 31435242›Full record

ArticleJournal of Taibah University Medical Sciences2017

The association between interleukin 6 -174 G/C gene polymorphism and the risk of osteoporosis: A meta-analysis.

Jonny K Fajar, Azharuddin Azharuddin

Open access · goldAbstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Cytokines in Inflammatory Disease.International journal of molecular sciences · 2019
    Review
  7. Hip geometry and femoral neck fractures: A meta-analysis.Journal of orthopaedic translation · 2018
    Review
  8. 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

2 authors at 2 institutions in 1 country.

Jonny K FajarMedical Research Unit, School of Medicine, University of Syiah Kuala, Banda Aceh, Indonesia.
Azharuddin AzharuddinOrthopedic and Traumatology Department, Dr. Zainoel Abidin Teaching Hospital, Banda Aceh, Indonesia.
Syiah Kuala University · IDUniversitas Muhammadiyah Aceh · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the association between the IL6 -174 G/C gene polymorphism and the risk of osteoporosis by performing a meta-analysis.

methodsPublished literature from PubMed and Embase databases was searched for eligible publications. The following information was extracted from each study: Name of first author, year of publication, country of origin, sample size of cases and controls, and size of each allele. The combined odds ratio (ORs) and 95% confidence intervals (95%CIs) for the association between the IL6 -174 G/C gene polymorphism and the risk of osteoporosis were assessed using a random or fixed effects model. A comprehensive meta-analysis (CMA) 2.0 was used to analyse the data.

resultsTwelve studies (4923 cases/3431 controls) were included in this meta-analysis. The results indicated that IL6 -174 G/C gene polymorphism was associated with an increased (G vs C, OR 95%CI = 1.29 [1.03-1.62], p = 0.029) and decreased risk of osteoporosis (C vs G, OR 95%CI = 0.77 [0.62-0.97], p = 0.029; CC vs GG + GC, OR 95%CI = 0.58 [0.39-0.88], p = 0.010).

conclusionThe IL6 -174 G/C gene polymorphism was shown to be positively correlated with osteoporosis risk.

Indexed as

Genetic polymorphismIL6 −174 G/C gene polymorphismOsteoporosis

Identifiers

PMID31435242
PMCPMC6694931
OpenAlexW2529669444

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.