Evidence map›Paper›PMID 29747606›Full record

SynthesisBMC musculoskeletal disorders2018

Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis.

Shu-Tao Gao, Zheng-Tao Lv, Chuan-Kun Zhou, Chao Mao, Wei-Bin Sheng

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC musculoskeletal disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.5field-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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Genetics and Epigenetics of Bone Remodeling and Metabolic Bone Diseases.International journal of molecular sciences · 2022
    Review
  9. Sarcopenia and bone health: new acquisitions for a firm liaison.Therapeutic advances in musculoskeletal disease · 2022
    Review
  10. Article
  11. [Liver cirrhosis and secondary osteoporosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    Review
  12. Article
  13. 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 4 institutions in 1 country.

Shu-Tao GaoDepartment of Spine Surgery, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, 830054, China.
Zheng-Tao LvDepartment of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Chuan-Kun ZhouDepartment of Orthopedics, General Hospital of the Yangtze River Shipping, Wuhan, 430010, China.
Chao MaoDepartment of Spine Surgery, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, 830054, China.
Wei-Bin ShengDepartment of Spine Surgery, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, 830054, China. wbsheng@vip.sina.com.
Xinjiang Medical University · CNChina Ocean Shipping (China) · CNFirst Affiliated Hospital of Xinjiang Medical University · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies looking into the association between insulin-like growth factor-1 (IGF-1) gene polymorphisms and osteoporosis predisposition have been conducted among Chinese population with conflicting outcomes. The present systematic review and meta-analysis was performed to appraise and synthesize the existing evidence, so as to provide a more precise and reliable association between polymorphisms in IGF-1 gene and osteoporosis.

methodsFive electronic databases including PubMed, EMBASE, ISI Web of Science, CNKI and Wanfang were systematically searched for potential studies. Summary odds ratio (OR) and corresponding 95% confidence interval (95% CI) were calculated to evaluate the association. The best-matching genetic model of inheritance was determined using a genetic-model free approach.

resultsSix case-control studies comprising 2068 osteoporosis patients and 2071 healthy controls were obtained for the meta-analysis. Dominant model was confirmed to be the best-matching genetic model (TT + TC versus CC). The overall data suggested that rs35767 polymorphism was significantly associated with osteoporosis vulnerability (OR 1.21, 95% CI 1.07, 1.37; P = 0.002). When stratifying the participants and performing subgroup-analysis according to source of patients, the result suggested that rs35767 was significantly correlated to osteoporosis in post-menopausal women subgroup (OR 1.29, 95% CI 1.08, 1.54; P = 0.005), but the correlation was not established in the subgroup of both gender (OR 1.14, 95% CI 0.96, 1.35; P = 0.12).

conclusionTaken together, the findings of our current study suggested a significant association between rs35767 polymorphism and risk of osteoporosis in Chinese post-menopausal women.

Indexed as

Asian PeopleCase-Control StudiesFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansInsulin-Like Growth Factor IOsteoporosisOsteoporosis, PostmenopausalPolymorphism, Single NucleotideRisk FactorsIGF1 protein, humanInsulin-Like Growth Factor IIGF-1Meta-analysisOsteoporosisSingle nucleotide polymorphism

Identifiers

PMID29747606
PMCPMC5944070
OpenAlexW2800448657

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.