Evidence map›Paper›PMID 37935324›Full record

ArticleOsteoarthritis and cartilage2025

Comparison between UK Biobank and Shanghai Changfeng suggests distinct hip morphology may contribute to ethnic differences in the prevalence of hip osteoarthritis.

Jiayi Zheng, Monika Frysz, Benjamin G Faber, Huandong Lin, Raja Ebsim, Jieyu Ge, Yanling Yong, Fiona R Saunders, Jennifer S Gregory, Richard M Aspden and 7 more

Open access · hybridAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Osteoarthritis and cartilage, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. DXA-derived hip shape is associated with hip fracture: a longitudinal study of 38 123 UK Biobank participants.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  4. Article
  5. Review
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

17 authors at 8 institutions in 2 countries.

Jiayi ZhengCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Monika FryszMusculoskeletal Research Unit, University of Bristol, Bristol, UK; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Benjamin G FaberMusculoskeletal Research Unit, University of Bristol, Bristol, UK; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Huandong LinDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China; Fudan Institute for Metabolic Diseases, Shanghai, China.
Raja EbsimDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.
Jieyu GeCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Yanling YongAcademy of Medical Science, Zhengzhou University, Zhengzhou, China.
Fiona R SaundersCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen, UK.
Jennifer S GregoryCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen, UK.
Richard M AspdenCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen, UK.
Nicholas C HarveyMedical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Bing-Hua JiangAcademy of Medical Science, Zhengzhou University, Zhengzhou, China.
Timothy CootesDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.
Claudia LindnerDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.
Xin GaoDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China; Fudan Institute for Metabolic Diseases, Shanghai, China. Electronic address: happy20061208@126.com.
Sijia WangCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China. Electronic address: wangsijia@picb.ac.cn.
Jonathan H TobiasMusculoskeletal Research Unit, University of Bristol, Bristol, UK; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK. Electronic address: jon.tobias@bristol.ac.uk.
Shanghai Institute of Nutrition and Health · CNUniversity of Aberdeen · GBUniversity of Manchester · GBBristol City Council · GBSun Yat-sen University · CNZhengzhou University · CNUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Bristol · GB

Funding

Medical Research Council MC_PC_21003Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/2Wellcome Trust 209233/Z/17/ZWellcome Trust 223267
6 · The paper itself

Abstract

objectsJoint morphology is a risk factor for hip osteoarthritis (HOA) and could explain ethnic differences in HOA prevalence. Therefore, we aimed to compare the prevalence of radiographic HOA (rHOA) and hip morphology between the predominantly White UK Biobank (UKB) and exclusively Chinese Shanghai Changfeng (SC) cohorts.

methodsLeft hip iDXA scans were used to quantify rHOA, from a combination of osteophytes (grade ≥1) and joint space narrowing (grade ≥1), and hip morphology. Using an 85-point Statistical Shape Model (SSM) we evaluated cam (alpha angle ≥60°) and pincer (lateral centre-edge angle (LCEA) ≥45°) morphology and acetabular dysplasia (LCEA <25°). Diameter of femoral head (DFH), femoral neck width (FNW), and hip axis length (HAL) were also obtained from these points. Results were adjusted for differences in age, height, and weight and stratified by sex.

resultsComplete data were available for 5924 SC and 39,020 White UKB participants with mean ages of 63.4 and 63.7 years old. rHOA prevalence was considerably lower in female (2.2% versus 13.1%) and male (12.0% and 25.1%) SC compared to UKB participants. Cam morphology, rarely seen in females, was less common in SC compared with UKB males (6.3% versus 16.5%). Composite SSM modes, scaled to the same overall size, revealed SC participants to have a wider femoral head compared to UKB participants. FNW and HAL were smaller in SC compared to UKB, whereas DFH/FNW ratio was higher in SC.

conclusionsrHOA prevalence is lower in Chinese compared with White individuals. Several differences in hip shape were observed, including frequency of cam morphology, FNW, and DFH/FNW ratio. These characteristics have previously been identified as risk factors for HOA and may contribute to observed ethnic differences in HOA prevalence.

Indexed as

Hip JointOsteoarthritis, HipAgedAsian PeopleBiological Specimen BanksChinaFemaleFemur HeadFemur NeckHumansMaleMiddle AgedPrevalenceRadiographyUK BiobankUnited KingdomDXAEthnic differencesHip morphologyRadiographic hip osteoarthritis

Identifiers

PMID37935324
PMCPMC7618574
OpenAlexW4388378697

What Socratic 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 Socratic graph.