Evidence map›Paper›PMID 40431467›Full record

ArticleNutrients2025

Evaluating Prevalence of Preterm Postnatal Growth Faltering Using Fenton 2013 and INTERGROWTH-21st Growth Charts with Logistic and Machine Learning Models.

Ioanna Kakatsaki, Nicolina Hilda Anagnostatou, Theano Roumeliotaki, Eleftherios Panteris, Theodoros Liapikos, Styliani Papanikolaou, Eleftheria Hatzidaki

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Artificial intelligence-guided nutritional therapy in the ICU.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  2. Article
  3. Article
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

7 authors.

Ioanna KakatsakiDepartment of Neonatology and NICU, University General Hospital of Heraklion, School of Medicine, University of Crete, 70013 Crete, Greece.ORCID 0009-0000-5375-4197
Nicolina Hilda AnagnostatouDepartment of Neonatology and NICU, University General Hospital of Heraklion, School of Medicine, University of Crete, 70013 Crete, Greece.
Theano RoumeliotakiClinic of Preventive Medicine and Nutrition, Division of Social Medicine, School of Medicine, University of Crete, 70013 Crete, Greece.ORCID 0000-0002-5044-983X
Eleftherios PanterisDepartment of Neonatology and NICU, University General Hospital of Heraklion, School of Medicine, University of Crete, 70013 Crete, Greece.ORCID 0000-0002-5846-388X
Theodoros LiapikosDepartment of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0002-5311-5384
Styliani PapanikolaouDepartment of Neonatology and NICU, University General Hospital of Heraklion, School of Medicine, University of Crete, 70013 Crete, Greece.
Eleftheria HatzidakiDepartment of Neonatology and NICU, University General Hospital of Heraklion, School of Medicine, University of Crete, 70013 Crete, Greece.ORCID 0000-0001-6256-3309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Growth ChartsGrowth DisordersInfant, PrematureMachine LearningFemaleGestational AgeHumansInfant, NewbornInfant, Small for Gestational AgeLogistic ModelsMalePrevalenceRetrospective Studiesextremely pretermFenton 2013INTERGROWTH-21stmachine learningPGFprematurityrestricted growthSGAvery preterm

Identifiers

PMID40431467
PMCPMC12114127

What Socratic 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 Socratic graph.