Evidence map›Paper›PMID 28561274›Full record

ArticleJournal of anatomy2017

Statistical shape modelling of hip and lumbar spine morphology and their relationship in the MRC National Survey of Health and Development.

Anastasia V Pavlova, Fiona R Saunders, Stella G Muthuri, Jennifer S Gregory, Rebecca J Barr, Kathryn R Martin, Rebecca J Hardy, Rachel Cooper, Judith E Adams, Diana Kuh and 1 more

Abstract read
In one paragraph

Article in Journal of anatomy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Age at Onset of Walking in Infancy Is Associated With Hip Shape in Early Old Age.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2019
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  11. Motor development in infancy and spine shape in early old age: Findings from a British birth cohort study.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020
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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.

Anastasia V PavlovaAberdeen Centre for Arthritis and Musculoskeletal Health, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Fiona R SaundersAberdeen Centre for Arthritis and Musculoskeletal Health, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Stella G MuthuriMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Jennifer S GregoryAberdeen Centre for Arthritis and Musculoskeletal Health, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Rebecca J BarrAberdeen Centre for Arthritis and Musculoskeletal Health, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Kathryn R MartinAberdeen Centre for Arthritis and Musculoskeletal Health, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Rebecca J HardyMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Rachel CooperMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Judith E AdamsManchester Academic Health Science Centre, Manchester Royal Infirmary, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Diana KuhMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Richard M AspdenAberdeen Centre for Arthritis and Musculoskeletal Health, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.ORCID http://orcid.org/0000-0002-0693-1194

Funding

Medical Research Council MC_UU_12019/1Medical Research Council MC_UU_12019/2Medical Research Council MC_UU_12019/4Medical Research Council MR/L010399/1Wellcome Trust
6 · The paper itself

Abstract

The anatomical shape of bones and joints is important for their proper function but quantifying this, and detecting pathological variations, is difficult to do. Numerical descriptions would also enable correlations between joint shapes to be explored. Statistical shape modelling (SSM) is a method of image analysis employing pattern recognition statistics to describe and quantify such shapes from images; it uses principal components analysis to generate modes of variation describing each image in terms of a set of numerical scores after removing global size variation. We used SSM to quantify the shapes of the hip and the lumbar spine in dual-energy x-ray absorptiometry (DXA) images from 1511 individuals in the MRC National Survey of Health and Development at ages 60-64 years. We compared shapes of both joints in men and women and hypothesised that hip and spine shape would be strongly correlated. We also investigated associations with height, weight, body mass index (BMI) and local (hip or lumber spine) bone mineral density. In the hip, all except one of the first 10 modes differed between men and women. Men had a wider femoral neck, smaller neck-shaft angle, increased presence of osteophytes and a loss of the femoral head/neck curvature compared with women. Women presented with a flattening of the femoral head and greater acetabular coverage of the femoral head. Greater weight was associated with a shorter, wider femoral neck and larger greater and lesser trochanters. Taller height was accompanied by a flattening of the curve between superior head and neck and a larger lesser trochanter. Four of the first eight modes describing lumbar spine shape differed between men and women. Women tended to have a more lordotic spine than men with relatively smaller but caudally increasing anterior-posterior (a-p) vertebral diameters. Men were more likely to have a straighter spine with larger vertebral a-p diameters relative to vertebral height than women, increasing cranially. A weak correlation was found between body weight and a-p vertebral diameter. No correlations were found between shape modes and height in men, whereas in women there was a weak positive correlation between height and evenness of spinal curvature. Linear relationships between hip and spine shapes were weak and inconsistent in both sexes, thereby offering little support for our hypothesis. In conclusion, men and women entering their seventh decade have small but statistically significant differences in the shapes of their hips and their spines. Associations with height, weight, BMI and BMD are small and correspond to subtle variations whose anatomical significance is not yet clear. Correlations between hip and spine shapes are small.

Indexed as

Absorptiometry, PhotonBone DensityCohort StudiesFemaleHip JointHumansImage Processing, Computer-AssistedLumbar VertebraeMaleMiddle AgedSex CharacteristicsSurveys and Questionnairesageinghiplumbar spinemorphologystatistical shape modelling

Identifiers

PMID28561274
PMCPMC5522893

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.