Evidence map›Paper›PMID 31063464›Full record

Observational studyPloS one2019

Z-score differences based on cross-sectional growth charts do not reflect the growth rate of very low birth weight infants.

Niels Rochow, Erin Landau-Crangle, Hon Yiu So, Anna Pelc, Gerhard Fusch, Jan Däbritz, Wolfgang Göpel, Christoph Fusch

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Defining growth faltering and malnutrition among very preterm infants in a neonatal intensive care unit.Journal of perinatology : official journal of the California Perinatal Association · 2026
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  7. Observational
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  12. Poor postnatal weight growth is a late finding after sepsis in very preterm infants.Archives of disease in childhood. Fetal and neonatal edition · 2021
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  15. Article
  16. 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

8 authors at 6 institutions in 2 countries.

Niels RochowDepartment of Pediatrics, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0001-7990-3904
Erin Landau-CrangleSchool of Medicine, Queen's University, Kingston, Ontario, Canada.
Hon Yiu SoDepartment of Pediatrics, McMaster University, Hamilton, Ontario, Canada.
Anna PelcDepartment of Pediatrics, McMaster University, Hamilton, Ontario, Canada.
Gerhard FuschDepartment of Pediatrics, McMaster University, Hamilton, Ontario, Canada.
Jan DäbritzDepartment of Pediatrics, University Hospital Rostock, Rostock, Germany.
Wolfgang GöpelDepartment of Pediatrics, University of Lübeck, Lübeck, Germany.
Christoph FuschDepartment of Pediatrics, McMaster University, Hamilton, Ontario, Canada.
McMaster University · CAParacelsus Medizinische Privatuniversität · DEQueen's University · CAUniversity of Lübeck · DEUniversity of Rostock · DEUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test whether the assessment of growth in very low birth weight infants during the hospital stay using z-score differences (Zdiff) is confounded by gestational age (GA), birth weight percentiles (BW%ile), and length of the observation period (LOP). We hypothesize that Zdiff calculated from growth charts based on birth weight data introduces a systematic statistical error leading to falsely classified growth as restricted in infants growing similarly to the 50th percentile.

methodsThis observational study included 6,926 VLBW infants from the German Neonatal Network (2009 to 2015). Inclusion criterion was discharge between 37 and 41 weeks postmenstrual age. For each infant, Zdiff, weight gain velocity, and reference growth rate (50th percentile Fenton) from birth to discharge were calculated. To account for gestational age dependent growth rates, assessment of growth was standardized calculating the weight gain ratio (WGR) = weight gain velocity/reference growth rate. The primary outcome is the variation of the Zdiff-to-WGR relationship.

resultsZdiff and WGR showed a weak agreement with a Zdiff of -0.74 (-1.03, -0.37) at the reference growth rate of the 50th percentile (WGR = 1). A significant proportion (n = 1,585; 23%) of infants with negative Zdiff had weight gain velocity above the 50th percentile's growth rate. Zdiff to WGR relation was significantly affected by the interaction of GA x BW%ile x LOP.

conclusionThis study supports the hypothesis that Zdiff, which are calculated using birth weights, are confounded by skewed reference data and can lead to misinterpretation of growth rates. New concepts like individualized growth trajectories may have the potential to overcome this limitation.

Indexed as

Birth WeightCross-Sectional StudiesFemaleGestational AgeGrowth ChartsHumansInfant, NewbornInfant, PrematureInfant, Very Low Birth WeightMaleParturitionReference ValuesWeight Gain

Identifiers

PMID31063464
PMCPMC6504035
OpenAlexW2944351112

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.