ReviewJournal of perinatology : official journal of the California Perinatal Association2022
Body composition measurement for the preterm neonate: using a clinical utility framework to translate research tools into clinical care.
Review in Journal of perinatology : official journal of the California Perinatal Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Bedside ultrasound imaging to measure muscle cross-sectional area in preterm and term infants: a feasibility study.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Neonatal steroid exposure and body composition in preterm infants at discharge.Pediatric research · 2026Article
- Standardizing Neonatal Body Composition Assessment Using Air Displacement Plethysmography: Insights from the Bavarian Experience.Children (Basel, Switzerland) · 2025Article
- Recent advances in understanding pathophysiology of non-nutritional stunting in very preterm infants.Clinical and experimental pediatrics · 2025Article
- Body Composition in Preterm Infants: Current Insights and Emerging Perspectives.Children (Basel, Switzerland) · 2025Review
- Establishing feasibility and reliability of subcutaneous fat measurements by ultrasound in very preterm infants.Pediatric research · 2024Article
- Article
- Predicting body fat percentage at 36 weeks of postmenstrual age in infants born preterm: A diagnostic accuracy study.JPEN. Journal of parenteral and enteral nutrition · 2023Article
- Dilemmas in establishing preterm enteral feeding: where do we start and how fast do we go?Journal of perinatology : official journal of the California Perinatal Association · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
Body composition analysis to distinguish between fat mass and fat-free mass is an established research approach to assess nutritional status. Within neonatal medicine, preterm infant body composition is linked with later health outcomes including neurodevelopment and cardiometabolic health. Mounting evidence establishing fat-free mass as an indicator of nutritional status, coupled with the availability of testing approaches that are feasible to use in preterm infants, have enhanced interest in measuring body composition in the neonatal intensive care unit (NICU) setting. In this paper, we use the concept of clinical utility-the added value of a new methodology over current standard care-as a framework for assessing several existing body composition methodologies with potential for clinical application to preterm neonates. We also use this framework to identify remaining knowledge gaps and prioritize efforts to advance our understanding of clinically-oriented body composition testing in the NICU.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.