Evidence map›Paper›PMID 40270717›Full record

ArticleFrontiers in endocrinology2025

Pediatric densitometry: is the Z score adjustment necessary in all cases?

Berta Magallares, Jorge Malouf, Helena Codes-Méndez, Hye Sang Park, Jocelyn Betancourt, Gloria Fraga, Estefanía Quesada-Masachs, Mireia López-Corbeto, Montserrat Torrent, Ana Marín and 6 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

16 authors.

Berta MagallaresDepartment of Rheumatology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Jorge MaloufDepartment of Mineral Metabolism Unit - Internal Medicine, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Helena Codes-MéndezDepartment of Rheumatology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Hye Sang ParkDepartment of Rheumatology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Jocelyn BetancourtInstitut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, Barcelona, Spain.
Gloria FragaInstitut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, Barcelona, Spain.
Estefanía Quesada-MasachsDepartment of Rheumatology, Universitari Dexeus-Grupo Quirón Salud Hospital, Barcelona, Spain.
Mireia López-CorbetoDepartment of Pediatric Rheumatology, Vall d'Hebrón Barcelona Hospital, Barcelona, Spain.
Montserrat TorrentDepartment of Pediatrics, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Ana MarínDepartment of Mineral Metabolism Unit - Internal Medicine, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Silvia HerreraInstitut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, Barcelona, Spain.
Ignasi GichInstitut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, Barcelona, Spain.
Susana BoronatInstitut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, Barcelona, Spain.
Jordi CasademontInstitut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, Barcelona, Spain.
Hector CorominasDepartment of Rheumatology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Dacia CerdáDepartment of Rheumatology, Hospital Sant Joan Despí Moisès Broggi, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The International Society for Clinical Densitometry recommends adjusting the bone mineral density (BMD) Z-score in children with short stature or growth delay. However, it is not clear whether height-for-age Z-score (HAZ) adjustment is required in all children. The aim of this study was to determine whether HAZ adjustment is necessary by examining variability in unadjusted and adjusted Z-scores for the main regions of interest in a large pediatric cohort. Methods: We evaluated 103 patients ≤ 20 years of age who underwent lumbar spine and whole-body dual-energy x-ray absorptiometry (DXA) at our tertiary care hospital from 2016 to 2018. The formula proposed by Zemel was used to calculate the HAZ. Results: A total of 103 participants were included (54 females; 52.4%). The mean age was 9.8 years. Height percentiles were ≤ 3 or ≥ 97 in seven (6.8%) and five (4.9%) patients. Diagnostic criteria for low bone mineral density (LBMD; BMD Z-score ≤ -2) were met in 8 lumbar spine scans and 10 whole-body scans. After HAZ adjustment, the prevalence of LBMD decreased from 8.2% (n=8) to 6.4% (n=6) in the lumbar spine scans and from 10.5% (n=10) to 7.2% (n=8) in the whole-body scans. Agreement between the adjusted and non-adjusted HAZ data was 0.498 for the lumbar spine and 0.557 for the whole body. The diagnostic discrepancy rate for LBMD diagnosis was 7%. After HAZ adjustment, 5% patients no longer met LBMD criteria while conversely 2% met LBMD criteria only after adjustment. Conclusions: The high diagnostic discrepancy rate (7%) for LBMN in this unselected pediatric cohort underscores the value of performing HAZ adjustment of Z-scores to improve diagnostic accuracy. This divergence between adjusted and unadjusted Z-scores suggests that all pediatric patients, not only those with short stature or growth retardation, may benefit from densitometric size adjustment. This is especially true in individuals whose stature is at the upper end of the range, where size may obscure a diagnosis of LBMD.

Indexed as

Absorptiometry, PhotonBody HeightBone DensityGrowth DisordersAdolescentChildChild, PreschoolFemaleHumansLumbar VertebraeMaleRetrospective StudiesYoung Adultbone mineral densityDXA (dual-energy x-ray absorptiometry)height-for-age z-scorelow bone mineral masspediatric densitometry

Identifiers

PMID40270717
PMCPMC12014424

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.