Evidence map›Paper›PMID 27806112›Full record

ArticlePloS one2016

The Clinical and Biochemical Predictors of Bone Mass in Preterm Infants.

Justyna Czech-Kowalska, Edyta Czekuc-Kryskiewicz, Pawel Pludowski, Katarzyna Zaniuk, Maciej Jaworski, Anna Łuba, Karolina Grzybowska, Krystyna Piłat, Anna Dobrzanska

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Prevention and management of metabolic bone disease of prematurity: a systematic review.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Pooled it
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  6. Review
  7. Observational
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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

9 authors at 2 institutions in 2 countries.

Justyna Czech-KowalskaDepartment of Neonatology and Neonatal Intensive Care, The Children's Memorial Health Institute, Warsaw, Poland.ORCID http://orcid.org/0000-0001-7563-3951
Edyta Czekuc-KryskiewiczDepartment of Biochemistry, Radioimmunology, and Experimental Medicine, The Children's Memorial Health Institute, Warsaw, Poland.
Pawel PludowskiDepartment of Biochemistry, Radioimmunology, and Experimental Medicine, The Children's Memorial Health Institute, Warsaw, Poland.
Katarzyna ZaniukDepartment of Neonatology, The Holy Family Hospital, Warsaw, Poland.
Maciej JaworskiDepartment of Biochemistry, Radioimmunology, and Experimental Medicine, The Children's Memorial Health Institute, Warsaw, Poland.
Anna ŁubaDepartment of Neonatology and Neonatal Intensive Care, The Children's Memorial Health Institute, Warsaw, Poland.
Karolina GrzybowskaDepartment of Neonatology and Neonatal Intensive Care, The Children's Memorial Health Institute, Warsaw, Poland.
Krystyna PiłatDepartment of Neonatology and Neonatal Intensive Care, The Children's Memorial Health Institute, Warsaw, Poland.
Anna DobrzanskaDepartment of Neonatology and Neonatal Intensive Care, The Children's Memorial Health Institute, Warsaw, Poland.
Children's Memorial Health Institute · PLHoly Family Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic bone disease of prematurity still occurs in preterm infants, although a significant improvement in neonatal care has been observed in recent decades. Dual-energy X-ray absorptiometry (DXA) is the precise technique for assessing bone mineral content (BMC) in preterm infants, but is not widely available.

aimTo investigate the clinical and biochemical parameters, including bone metabolism markers as potential predictors of BMC, in preterm infants up to 3 months corrected age (CA). MATERIALS AND

methodsCa-P homeostasis, iPTH, 25-hydroxyvitamin D, osteocalcin, N-terminal propeptide, cross-linked C-telopeptide and amino-terminal pro C-type natriuretic peptide and the DXA scans were prospectively performed in 184 preterm infants (≤ 34 weeks' gestation) between term age and 3 mo CA. Lower bone mass was defined as BMC below or equal to respective median value for the whole study group, rounded to the nearest whole number.

resultsThe appropriate quality DXA scans were available for 160 infants (87%) examined at term and for 130 (71%) tested at 3 mo CA. Higher iPTH level was the only independent predictor of lower BMC at term, whereas lower BMC at 3 mo CA was associated both with lower urinary phosphate excretion and higher serum osteocalcin level. ROC analysis showed that iPTH >43.6 pg/mL provided 40% sensitivity and 88% specificity in identification of preterm infants with lower BMC at term. In turn, urinary phosphate excretion (TRP>97% or UP/Cr ≤0.74 mg/mg) and serum osteocalcin >172 ng/mL provided 40% sensitivity and 93% specificity in identification of infants with decreased BMC at 3 mo CA.

conclusionSerum iPTH might to be a simple predictor of reduced BMC in preterm infants at term age, but urinary phosphate excretion and serum osteocalcin might predict reduced BMC at 3 mo CA. These results represent a promising diagnostic tool based on simple, widely available biochemical measurements for bone mass assessment in preterm infants.

Indexed as

Bone DensityAbsorptiometry, PhotonBiomarkersFemaleHumansInfant, NewbornInfant, PrematureMaleNatriuretic Peptide, C-TypeOsteocalcinParathyroid HormonePhosphatesROC CurveSensitivity and SpecificityVitamin D25-hydroxyvitamin DBiomarkersNatriuretic Peptide, C-TypeOsteocalcinParathyroid HormonePhosphatesVitamin D

Identifiers

PMID27806112
PMCPMC5091911
OpenAlexW2548465460

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.