Evidence map›Paper›PMID 29777918›Full record

ArticleBone2018

Sex differences in the spatial distribution of bone in relation to incident hip fracture: Findings from the AGES-Reykjavik study.

Elisa A Marques, Julio Carballido-Gamio, Vilmundur Gudnason, Gunnar Sigurdsson, Sigurdur Sigurdsson, Thor Aspelund, Kristin Siggeirsdottir, Lenore Launer, Gudny Eiriksdottir, Thomas Lang and 1 more

Abstract read
In one paragraph

Article in Bone, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Male-female spatio-temporal differences of age-related bone changes show faster bone deterioration in older women at femoral regions associated with incident hip fracture.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
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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

11 authors.

Elisa A MarquesNational Institute on Aging, Intramural Research Program, Laboratory of Epidemiology and Population Sciences, Bethesda, MD, USA. Electronic address: emarques@ismai.pt.
Julio Carballido-GamioDepartment of Radiology, School of Medicine, University of Colorado Denver, Denver, CO, USA.
Vilmundur GudnasonIcelandic Heart Association Research Institute, Kópavogur, Iceland; University of Iceland, Reykjavik, Iceland.
Gunnar SigurdssonIcelandic Heart Association Research Institute, Kópavogur, Iceland; University of Iceland, Reykjavik, Iceland; Landspitalinn University Hospital, Reykjavik, Iceland.
Sigurdur SigurdssonIcelandic Heart Association Research Institute, Kópavogur, Iceland.
Thor AspelundIcelandic Heart Association Research Institute, Kópavogur, Iceland; Centre of Public Health Sciences, University of Iceland, Reykjavik, Iceland.
Kristin SiggeirsdottirDepartment of Radiology, School of Medicine, University of Colorado Denver, Denver, CO, USA.
Lenore LaunerNational Institute on Aging, Intramural Research Program, Laboratory of Epidemiology and Population Sciences, Bethesda, MD, USA.
Gudny EiriksdottirIcelandic Heart Association Research Institute, Kópavogur, Iceland.
Thomas LangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Tamara B HarrisNational Institute on Aging, Intramural Research Program, Laboratory of Epidemiology and Population Sciences, Bethesda, MD, USA.

Funding

CLINICAL PROJECT: Age, Gene/Environment Susceptibility Study on the Multi-omics of Aging: A clinical epidemiologic prospective studyZIAAG007380 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2025
$6.1M
Multi-Parametric Spatial Assessment of Bone with HR-pQCTR01AR068456 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI BURGHARDT, ANDREW JOHN, CARBALLIDO-GAMIO, JULIO · 2016 to 2020
$1.4M
Intramural NIH HHS Z99 AG999999Intramural NIH HHS ZIA AG007380NIAMS NIH HHS R01 AR068456
6 · The paper itself

Abstract

In this case-cohort study, we used data-driven computational anatomy approaches to assess within and between sex spatial differences in proximal femoral bone characteristics in relation to incident hip fracture. One hundred male and 234 female incident hip fracture cases, and 1047 randomly selected noncase subcohort participants (562 female) were chosen from the population-based AGES-Reykjavik study (mean age of 77 years). The baseline -i.e. before hip fracture- hip quantitative computed tomography scans of these subjects were analyzed using voxel-based morphometry, tensor-based morphometry, and surface-based statistical parametric mapping to assess the spatial distribution of volumetric bone mineral density (vBMD), internal structure, and cortical bone properties (thickness, vBMD and trabecular vBMD adjacent to the endosteal surface) of the proximal femur, respectively, in relation to incident hip fracture. Results showed that in both men and women: 1) the superior aspect of the femoral neck and the trochanteric region (except for cortical bone thickness) were consistently identified as being associated with incident hip fracture, and 2) differences in bone properties between noncases and incident hip fracture cases followed similar trends, were located at compatible regions, and manifested heterogeneity in the spatial distribution of their magnitude with focal regions showing larger differences. With respect to sex differences, most of the regions with a significant interaction between fracture group and sex showed: 1) differences of greater magnitude in men between noncases and incident hip fracture cases with different spatial distributions for all bone properties with the exception of cortical bone thickness, and 2) that while most of these regions showed better bone quality in male cases than in female cases, female cases showed higher vBMD in the principal compressive group and higher endotrabecular vBMD at several regions including the anterior, posterior, and lateral aspects of the proximal femur. These findings indicate the value of these image analysis techniques by providing unique information about the specific patterns of bone deterioration associated with incident hip fracture and their sex differences, highlighting the importance of looking to men and women separately in the assessment of hip fracture risk.

Indexed as

Sex CharacteristicsAgedAged, 80 and overAgingBone DensityCohort StudiesFemaleFemurHip FracturesHumansIcelandMaleBoneBone mineral density (BMD)Cortical bone thicknessQuantitative computed tomography (QCT)Statistical parametric mapping (SPM)Tensor-based morphometry (TBM)Voxel-based morphometry (VBM)

Identifiers

PMID29777918
PMCPMC6137723

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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 OpenQuestion graph.