Evidence map›Paper›PMID 38160745›Full record

ArticleOsteoarthritis and cartilage2024

Causal relationships between anthropometric traits, bone mineral density, osteoarthritis and spinal stenosis: A Mendelian randomisation investigation.

Maria K Sobczyk, Benjamin G Faber, Lorraine Southam, Monika Frysz, April Hartley, Eleftheria Zeggini, Genetics of Osteoarthritis Consortium, Haotian Tang, Tom R Gaunt

Open access · hybridAbstract read
In one paragraph

Article in Osteoarthritis and cartilage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.6field-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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

9 authors at 3 institutions in 2 countries.

Maria K SobczykMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, United Kingdom. Electronic address: maria.sobczyk@bristol.ac.uk.
Benjamin G FaberMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, United Kingdom; Musculoskeletal Research Unit, University of Bristol, Bristol, UK. Electronic address: ben.faber@bristol.ac.uk.
Lorraine SouthamInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany. Electronic address: lorraine.southam@helmholtz-muenchen.de.
Monika FryszMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, United Kingdom; Musculoskeletal Research Unit, University of Bristol, Bristol, UK. Electronic address: monika.frysz@bristol.ac.uk.
April HartleyMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, United Kingdom. Electronic address: april.hartley@bristol.ac.uk.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, 81675 Munich, Germany. Electronic address: eleftheria.zeggini@helmholtz-muenchen.de.
Genetics of Osteoarthritis Consortium
Haotian TangMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, United Kingdom. Electronic address: haotian.tang@bristol.ac.uk.
Tom R GauntMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, United Kingdom. Electronic address: tom.gaunt@bristol.ac.uk.
University of Bristol · GBHelmholtz Zentrum München · DEKlinikum rechts der Isar · DE

Funding

Medical Research Council
6 · The paper itself

Abstract

objectiveSpinal stenosis is a common condition among older individuals, with significant morbidity attached. Little is known about its risk factors but degenerative conditions, such as osteoarthritis (OA) have been identified for their mechanistic role. This study aims to explore causal relationships between anthropometric risk factors, OA, and spinal stenosis using Mendelian randomisation (MR) techniques.

designWe applied two-sample MR to investigate the causal relationships between genetic liability for select risk factors and spinal stenosis. Next, we examined the genetic relationship between OA and spinal stenosis with linkage disequilibrium score regression and Causal Analysis Using Summary Effect estimates MR method. Finally, we used multivariable MR (MVMR) to explore whether OA and body mass index (BMI) mediate the causal pathways identified.

resultsOur analysis revealed strong evidence for the effect of higher BMI (odds ratio [OR] = 1.54, 95%CI: 1.41-1.69, p-value = 2.7 × 10

conclusionsGenetic susceptibility to anthropometric risk factors, particularly higher BMI and BMD can increase the risk of spinal stenosis, independent of OA status. These results may inform preventative strategies and treatments.

Indexed as

Body Mass IndexBone DensityMendelian Randomization AnalysisOsteoarthritisSpinal StenosisAnthropometryCausalityGenetic Predisposition to DiseaseHumansLinkage DisequilibriumOsteoarthritis, HipPolymorphism, Single NucleotideRisk FactorsBody mass indexBone mineral densityLumbar stenosisMendelian randomisationOsteoarthritisSpinal stenosis

Identifiers

PMID38160745
PMCPMC11954849
OpenAlexW4390431367

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.