Evidence map›Paper›PMID 23388217›Full record

ArticleInternational journal of pediatric endocrinology2013

Factors associated with low bone density in patients referred for assessment of bone health.

Lisa Swartz Topor, Patrice Melvin, Courtney Giancaterino, Catherine M Gordon

Abstract read
In one paragraph

Article in International journal of pediatric endocrinology, 2013. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

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4 · The record

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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

4 authors.

Lisa Swartz ToporDivision of Endocrinology, Boston, MA, USA. lisa.topor@childrens.harvard.edu.
Patrice Melvin
Courtney Giancaterino
Catherine M Gordon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo identify factors that predict low bone mineral density (BMD) in pediatric patients referred for dual-energy x-ray absorptiometry assessments.

methodsThis is a retrospective cohort study of 304 children and adolescents referred for dual-energy x-ray absorptiometry assessments at a tertiary care center. Outcomes included risk factors which predicted a significant low bone density for age, defined as BMD Z-score ≤ -2.0 SD. A univariate analysis involved Chi-square, Fisher's Exact test, and analysis of variance, and multivariate logistic regression models were constructed to determine predictors of low bone mineral density.

resultsIn the multivariate logistic regression model, predictors of low bone mineral density included low body mass index Z-score (odds ratio 0.52, 95% confidence interval 0.39 - 0.69), low height Z-score (OR 0.71, 95% CI 0.57 - 0.88), vitamin D insufficiency (OR 3.97, 95% CI 2.08 - 7.59), and history of bone marrow transplant (OR 5.78, 95% CI 1.00 - 33.45).

conclusionsUnderlying health problems and associated treatments can impair bone mineral accrual. We identified risk factors most predictive of low bone mineral density in subjects referred for bone density measurement. Recognition of these factors may allow for earlier assessment to maximize bone mass in at-risk children.

Identifiers

PMID23388217
PMCPMC3616976

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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.