Evidence map›Paper›PMID 37893000›Full record

ArticleBiomedicines2023

Predictive Value of the Münchener Funktionelle Entwicklungsdiagnostik Used to Determine Risk Factors for Motor Development in German Preterm Infants.

Anna Janning, Hanne Lademann, Dirk Olbertz

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 3 institutions in 1 country.

Anna JanningDepartment for Pediatrics, Universitätsklinikum Würzburg, 97070 Würzburg, Bavaria, Germany.
Hanne LademannDepartment of Pediatrics, University Rostock, 18057 Rostock, Mecklenburg-Vorpommern, Germany.
Dirk OlbertzDepartment for Neonatology, Klinikum Südstadt Rostock, 18059 Rostock, Mecklenburg-Vorpommern, Germany.
Klinikum Südstadt Rostock · DEUniversitätsklinikum Würzburg · DEUniversity of Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis of developmental delays is essential to providing early developmental care. The Münchener Funktionelle Entwicklungsdiagnostik (MFED) is a simple and cost-effective tool for diagnosing the development of infants and young children. Nevertheless, the MFED has not been a well-studied part of current research. This retrospective cohort study aims to detect risk factors and assess the impact of developmental care during the first twelve months of life, using the MFED. Furthermore, it determines the MFED's predictive value by comparing results with an international gold standard, the Bayley Scales of Infant Development II (BSID II). The study included 303 infants born between 2008-2013 in Rostock, Germany, with a birth weight of ≤1500 g and/or a gestational age of ≤32 weeks, who were evaluated with the MFED at twelve months of age. To ascertain the predictive value, 213 infants underwent BSID II assessment at 24 months of age. Intraventricular hemorrhage (IVH), necrotizing enterocolitis (NEC), and periventricular leukomalacia (PVL) were significantly associated with a higher risk of developmental delay across various domains. Post-discharge developmental care therapies did not indicate any clear beneficial effect on the infant's development. Nevertheless, some domains of MFED demonstrate predictive value, warranting increased attention for this diagnostic.

Indexed as

bayley scales of infant developmentdevelopmental careMünchener Funktionelle Entwicklungsdiagnostikneonatology

Identifiers

PMID37893000
PMCPMC10604727
OpenAlexW4387019371

What OpenQuestion holds

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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.