Evidence map›Paper›PMID 33766802›Full record

ArticleBone2021

Level and change in bone microarchitectural parameters and their relationship with previous fracture and established bone mineral density loci.

Nicholas R Fuggle, Leo D Westbury, Gregorio Bevilacqua, Philip Titcombe, Mícheál Ó Breasail, Nicholas C Harvey, Elaine M Dennison, Cyrus Cooper, Kate A Ward

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bone, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 28% 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, 6 citations in OpenAlex.

  1. Trial
  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 7 institutions in 2 countries.

Nicholas R FuggleMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; The Alan Turing Institute, London, UK. Electronic address: nrf@mrc.soton.ac.uk.
Leo D WestburyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. Electronic address: lw@mrc.soton.ac.uk.
Gregorio BevilacquaMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. Electronic address: gb@mrc.soton.ac.uk.
Philip TitcombeMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. Electronic address: pt@mrc.soton.ac.uk.
Mícheál Ó BreasailMRC Nutrition and Bone Health Research Group, Cambridge, UK. Electronic address: michealo@mrc-lmb.cam.ac.uk.
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK. Electronic address: nch@mrc.soton.ac.uk.
Elaine M DennisonMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Victoria University of Wellington, Wellington, New Zealand. Electronic address: emd@mrc.soton.ac.uk.
Cyrus CooperMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK. Electronic address: cc@mrc.soton.ac.uk.
Kate A WardMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. Electronic address: kw@mrc.soton.ac.uk.
MRC Lifecourse Epidemiology Unit · GBUniversity of Southampton · GBMRC Human Nutrition Research · GBThe Alan Turing Institute · GBUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Oxford · GBVictoria University of Wellington · NZ

Funding

Department of HealthMedical Research Council G0400491Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_ST_U13058Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/1
6 · The paper itself

Abstract

backgroundOsteoporosis is characterised by a reduction of bone mineral density (BMD) and predisposition to fracture. Bone microarchitecture, measured by high resolution peripheral quantitative computed tomography (HR-pQCT), has been related to fragility fractures and BMD and has been the subject of large-scale genome-wide analysis. We investigated whether fracture was related to baseline values and longitudinal changes in bone microarchitecture and whether bone microarchitecture was associated with established BMD loci.

methods115 males and 99 females (aged 72-81 at baseline) from the Hertfordshire Cohort Study (HCS) were analysed. Fracture history was determined in 2011-2012 by self-report and vertebral fracture assessment. Participants underwent HR-pQCT scans of the distal radius and tibia in 2011-2012 and 2017. Previous fracture in relation to baseline values and changes in tibial HR-pQCT parameters was examined using sex-adjusted logistic regression with and without adjustment for age, sociodemographic, lifestyle and clinical characteristics; baseline values and changes in parameters associated with previous fracture were then examined in relation to four established BMD loci after adjustment for sex and age.

resultsPrevious fracture was related to: higher trabecular area (fully-adjusted odds ratio [95% CI] per SD greater baseline value: 2.18 [1.27,3.73], p = 0.005); lower total volumetric BMD (0.53 [0.34,0.84], p = 0.007), cortical area (0.53 [0.30,0.95], p = 0.032), cortical BMD (0.56 [0.36,0.88], p = 0.011) and cortical thickness (0.45 [0.27,0.77], p = 0.004); and greater declines in trabecular BMD (p = 0.001). Associations were robust in sex- and fully-adjusted analysis. Relationships between BMD loci and these HR-pQCT parameters were weak: rs3801387 (WNT16) was related to decline in trabecular BMD (p = 0.011) but no other associations were significant (p > 0.05).

conclusionBaseline values of HR-pQCT parameters and greater decline in trabecular BMD were associated with fracture. Change in trabecular BMD was associated with WNT16 which has been demonstrated to influence bone health in murine models and human genome-wide association studies (GWAS).

Indexed as

Fractures, BoneOsteoporosisAnimalsBone DensityCohort StudiesFemaleGenome-Wide Association StudyHumansMaleMiceRadiusTibiaEpidemiologyFractureLociOsteoporosisQuantitative computed tomography

Identifiers

PMID33766802
PMCPMC7611749
OpenAlexW3138257842

What Socratic holds

Textmetadata
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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.