Evidence map›Paper›PMID 27026024›Full record

ArticlePediatric radiology2016

Automated radiogrammetry is a feasible method for measuring bone quality and bone maturation in severely disabled children.

Sandra Mergler, Stella A de Man, Annemieke M Boot, Karen G C B Bindels-de Heus, Wim A R Huijbers, Rick R van Rijn, Corine Penning, Heleen M Evenhuis

Abstract readMulticenter Study
In one paragraph

Article in Pediatric radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Bone Health, Fragility Fractures, and the Hand Surgeon.Journal of hand surgery global online · 2025
    Review
  4. Article
  5. Review
  6. Traditional and New Methods of Bone Age Assessment-An OverviewJournal of clinical research in pediatric endocrinology · 2021
    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

8 authors.

Sandra MerglerDepartment of General Practice and Intellectual Disability Medicine, University Medical Centre, Erasmus MC, Rotterdam, The Netherlands. s.mergler@erasmusmc.nl.
Stella A de ManDepartment of Paediatrics, Amphia Hospital, Breda, The Netherlands.
Annemieke M BootDepartment of Paediatric Endocrinology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
Karen G C B Bindels-de HeusDepartment of General Paediatrics, Sophia Children's Hospital, University Medical Centre, Erasmus MC, Rotterdam, The Netherlands.
Wim A R HuijbersDepartment of Paediatrics, Beatrix Hospital, Gorinchem, The Netherlands.
Rick R van RijnDepartment of Radiology, Emma Children's Hospital/Academic Medical Centre, Amsterdam, The Netherlands.
Corine PenningDepartment of General Practice and Intellectual Disability Medicine, University Medical Centre, Erasmus MC, Rotterdam, The Netherlands.
Heleen M EvenhuisDepartment of General Practice and Intellectual Disability Medicine, University Medical Centre, Erasmus MC, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren with severe neurological impairment and intellectual disability are prone to low bone quality and fractures.

objectiveWe studied the feasibility of automated radiogrammetry in assessing bone quality in this specific group of children. We measured outcome of bone quality and, because these children tend to have altered skeletal maturation, we also studied bone age. MATERIALS AND

methodsWe used hand radiographs obtained in 95 children (mean age 11.4 years) presenting at outpatient paediatric clinics. We used BoneXpert software to determine bone quality, expressed as paediatric bone index and bone age.

resultsRegarding feasibility, we successfully obtained a paediatric bone index in 60 children (63.2%). The results on bone quality showed a mean paediatric bone index standard deviation score of -1.85, significantly lower than that of healthy peers (P < 0.0001). Almost 50% of the children had severely diminished bone quality. In 64% of the children bone age diverged more than 1 year from chronological age. This mostly concerned delayed bone maturation.

conclusionAutomated radiogrammetry is feasible for evaluating bone quality in children who have disabilities but not severe contractures. Bone quality in these children is severely diminished. Because bone maturation frequently deviated from chronological age, we recommend comparison to bone-age-related reference values.

Indexed as

Children with DisabilitiesAge Determination by SkeletonBone DensityBone DevelopmentChildCross-Sectional StudiesFeasibility StudiesFemaleHand BonesHumansMaleNetherlandsRadiographic Image Interpretation, Computer-AssistedSoftwareAutomated radiogrammetryBone ageBone maturationBone qualityChildrenDisabilityRadiography

Identifiers

PMID27026024
PMCPMC4883271

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.