Evidence map›Paper›PMID 23335067›Full record

ArticleMedical oncology (Northwood, London, England)2013

Association analyses of osteoprotegerin gene polymorphisms with bone mineral density in Chinese postmenopausal women.

Feng Zhang, Chunlei He, Gang Chen, Fangcai Li, Hui Gao

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Feng ZhangOrthopedics Department, The Second Affiliated Hospital Zhejiang University College of Medicine, No. 88 Jiefang Road, Hangzhou 310009, People's Republic of China.
Chunlei He
Gang Chen
Fangcai Li
Hui Gao
Second Affiliated Hospital of Zhejiang University · CNFirst Affiliated Hospital of Gannan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoprotegerin gene (OPG) is an important candidate gene of osteoporosis. The objective of this study was to evaluate the association between OPG gene polymorphisms and bone mineral density (BMD). A total of 336 Chinese postmenopausal women were included in this study. OPG gene polymorphisms were detected by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), created restriction site-PCR (CRS-PCR) and DNA sequencing methods. BMD was evaluated at the lumbar spine (L(2-4)), total hip and femoral neck. Two single-nucleotide polymorphisms (SNPs) (g.21775C>T and g.23367T>C) were identified and the association analysis showed significant difference of spine BMD among different g.23367T>C genotype, subjects with the genotype TT was significantly higher than those of genotype TC and CC. Such a significant difference was not observed at the neck hip BMD and total hip BMD. The g.21775C>T polymorphism was not significantly associated with spine BMD, total hip BMD and neck hip BMD in the studied subjects. These findings suggested that OPG gene polymorphisms were associated with BMD in Chinese postmenopausal women. Results from this study will be helpful in further studies to determine the role of OPG gene in osteoporosis.

Indexed as

Polymorphism, Single NucleotideAbsorptiometry, PhotonAgedAsian PeopleBone DensityFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMiddle AgedOsteoporosis, PostmenopausalOsteoprotegerinPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthPostmenopauseOsteoprotegerinTNFRSF11B protein, human

Identifiers

PMID23335067
OpenAlexW2059061150

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.