Evidence map›Paper›PMID 31450875›Full record

ReviewNutrients2019

Nutritional Assessment in Preterm Infants: A Practical Approach in the NICU.

Luis Pereira-da-Silva, Daniel Virella, Christoph Fusch

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.

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  7. 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 · 2026
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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

3 authors at 3 institutions in 2 countries.

Luis Pereira-da-SilvaMedicine of Woman, Childhood and Adolescence, Faculdade de Ciências Médicas|NOVA Medical School, Unversidade Nova de Lisboa, 1169-056 Lisbon, Portugal. l.pereira.silva@nms.unl.pt.
Daniel VirellaNICU, Hospital Dona Estefânia, Centro Hospitalar Universitário de Lisboa Central, 1169-045 Lisbon, Portugal.ORCID 0000-0002-5952-5632
Christoph FuschNuremberg General Hospital, Department of Pediatrics, Paracelsus Medical University, Prof.-Ernst-Nathan-Straße 1, 90419 Nürnberg, Germany.
Hospital de Dona Estefânia · PTInstituto Politécnico de Lisboa · PTNuremberg Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A practical approach for nutritional assessment in preterm infants under intensive care, based on anthropometric measurements and commonly used biochemical markers, is suggested. The choice of anthropometric charts depends on the purpose: Fenton 2013 charts to assess intrauterine growth, an online growth calculator to monitor intra-hospital weight gain, and Intergrowth-21st standards to monitor growth after discharge. Body weight, though largely used, does not inform on body compartment sizes. Mid-upper arm circumference estimates body adiposity and is easy to measure. Body length reflects skeletal growth and fat-free mass, provided it is accurately measured. Head circumference indicates brain growth. Skinfolds estimate reasonably body fat. Weight-to-length ratio, body mass index, and ponderal index can assess body proportionality at birth. These and other derived indices, such as the mid-upper arm circumference to head circumference ratio, could be proxies of body composition but need validation. Low blood urea nitrogen may indicate insufficient protein intake. Prealbumin and retinol binding protein are good markers of current protein status, but they may be affected by non-nutritional factors. The combination of a high serum alkaline phosphatase level and a low serum phosphate level is the best biochemical marker for the early detection of metabolic bone disease.

Indexed as

AnthropometryBirth WeightInfant Nutritional Physiological PhenomenaIntensive Care Units, NeonatalNutritional StatusNutrition AssessmentAge FactorsBiomarkersBody CompositionChild DevelopmentGestational AgeHumansInfant, NewbornInfant, PrematurePredictive Value of TestsReproducibility of ResultsBiomarkersanthropometrybiochemical markersbody compositiongrowth chartsnutritional assessmentpreterm infant

Identifiers

PMID31450875
PMCPMC6770216
OpenAlexW2969653101

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.