Evidence map›Paper›PMID 37817264›Full record

SynthesisJournal of orthopaedic surgery and research2023

The association of growth differentiation factor 5 rs143383 gene polymorphism with osteoarthritis: a systematic review and meta-analysis.

Yue-Peng Wang, Wen-Jia Di, Su Yang, Shi-Lei Qin, Yun-Feng Xu, Peng-Fei Han, Ke-Dong Hou

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

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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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. TheGenes · 2025
    Observational
  3. Review
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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

7 authors at 3 institutions in 1 country.

Yue-Peng WangDepartment of Orthopaedics, Beijing Friendship Hospital Pinggu Campus, Capital Medical University, Beijing, 101200, China.
Wen-Jia DiDepartment of Graduate School, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, 014040, China.
Su YangDepartment of Orthopaedics, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, 046000, China.
Shi-Lei QinDepartment of Orthopaedics, Changzhi Yunfeng Hospital, Changzhi, 046000, China.
Yun-Feng XuDepartment of Orthopaedics, Changzhi Yunfeng Hospital, Changzhi, 046000, China.
Peng-Fei HanDepartment of Orthopaedics, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, 046000, China. 18003551149@163.com.
Ke-Dong HouDepartment of Orthopaedics, Beijing Friendship Hospital Pinggu Campus, Capital Medical University, Beijing, 101200, China. houkedong@hotmail.com.
Changzhi Medical College · CNCapital Medical University · CNInner Mongolia University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is caused by a complex set of pathophysiological factors. The genetic factors involved in the occurrence and progress of the disease have been widely discussed by scholars. It was found that growth differentiation factor 5 (GDF5) gene polymorphisms may be linked to OA susceptibility, which has been controversial and needs to be further confirmed by an updated meta-analysis.

objectivesWe examined the association between GDF5 rs143383 single nucleotide polymorphism (SNP) and OA susceptibility.

methodsAll relevant articles that met the criteria are retrieved and included, and the search deadline is June 2022. The allele frequencies and different genotype frequencies of GDF5 rs143383 loci in each study were extracted and statistically analyzed by R4.1.3 software, and the different genetic models were analyzed based on their odds ratio (OR) and 95% confidence interval (CI).

resultsThe meta-analysis explained that GDF5 rs143383 SNP was crucial correlated with OA in all patients with OA of knee, hip and hand. The codominant gene model in the whole crowd (OR = 1.17, 95% CI 1.07-1.27, P < 0.01) enlightened that OA was vitally associated with GDF5 gene polymorphism. At the same time, we did a subgroup analysis based on ethnicity. The codominant gene model (OR = 1.31, 95% CI 1.12-1.53, P < 0.01) in Asian population, the codominant homozygote model (OR = 1.28, 95% CI 1.14-1.43), codominant heterozygote gene model (OR = 1.12, 95% CI 1.01-1.23, P = 0.02), and dominant gene model (OR = 1.19, 95% CI 1.09-1.31, P < 0.01) in Caucasian are analyzed by subgroup analysis. It means that there is a momentous relationship between the GDF5rs143383 gene polymorphism and OA, especially among Caucasians. In addition, we also discussed different types of OA separately and discover that the GDF5rs143383 gene polymorphism was relevant for knee osteoarthritis (KOA) and hand osteoarthritis, and it was more significant in the Caucasian population. But due to the high heterogeneity in hip osteoarthritis, it could not be accurately concluded. Furthermore, we also analyzed the osteoarthritis of different genders and found that the GDF5 rs143383 SNP was associated with both men and women and was still significant in the Caucasian population.

conclusionWe found a close association between osteoarthritis and GDF5rs143383SNP in this study. From the analysis of each group, we got the same conclusion in KOA and hand OA, but which need further verification in hip OA. Considering gender, we found a close relationship between GDF5 rs143383 SNP and OA of the knee, hip and hand, both for men and women. This conclusion is more obvious in Caucasian people.

Indexed as

Osteoarthritis, HipOsteoarthritis, KneeCase-Control StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGrowth Differentiation Factor 5HumansMalePolymorphism, Single NucleotideGDF5 protein, humanGrowth Differentiation Factor 5GDF5Meta-analysisOsteoarthritisrs143383Single nucleotide polymorphism

Identifiers

PMID37817264
PMCPMC10563324
OpenAlexW4387500608

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.