Evidence map›Paper›PMID 34707566›Full record

ArticleFrontiers in endocrinology2021

Su-Qin Shi, Shan-Shan Li, Xiao-Ya Zhang, Zhe Wei, Wen-Zhen Fu, Jin-Wei He, Yun-Qiu Hu, Miao Li, Li-Li Zheng, Zhen-Lin Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Novel SNP Combination for Predictive Osteoporotic Diagnosis.International journal of molecular sciences · 2025
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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

10 authors at 3 institutions in 1 country.

Su-Qin ShiDepartment of Endocrinology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Shan-Shan LiMetabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Xiao-Ya ZhangMetabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Zhe WeiMetabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Wen-Zhen FuMetabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Jin-Wei HeMetabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Yun-Qiu HuMetabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Miao LiMetabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Li-Li ZhengDepartment of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhen-Lin ZhangMetabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Shanghai Sixth People's Hospital · CNShanghai Jiao Tong University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The current study was conducted to determine whether peak bone mineral density (BMD) and obesity phenotypes are associated with certain Methods: A total of 22 single nucleotide polymorphisms (SNPs) located in and around the Results: Here, rs7936621 was significantly associated with the BMD values for the total hip and lumbar spine, while rs10835171 and rs6484295 were associated with the trunk fat mass and BMI, respectively. Regarding the haplotypes, we found significant associations between GAA in block 2 and trunk fat mass and BMI, between AGCGT in block 3 and total hip BMD, between TGCTCC in block 5 and femoral neck BMD, and between TACTTC in block 5 and both lumbar spine and femoral neck BMD (all Conclusion: Genetic variations of the

Indexed as

Body Mass IndexHaplotypesPhenotypePolymorphism, Single NucleotideAdultBiomarkersBone DensityChinaFemaleFollow-Up StudiesGenetic Association StudiesHumansLinkage DisequilibriumMaleMiddle AgedNuclear FamilyBiomarkersLGR4 protein, humanReceptors, G-Protein-Coupledfat massLGR4obesityosteoporosispeak bone mineral densityQTDTSNP

Identifiers

PMID34707566
PMCPMC8544421
OpenAlexW3205010419

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.