Evidence map›Paper›PMID 38549661›Full record

ArticleJournal of education and health promotion2024

Developmental delay in preterm infants during the first twelve months after birth and its risk factors.

Lida Saboktakin

Open access · goldAbstract read
In one paragraph

Article in Journal of education and health promotion, 2024. 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
2.2field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Lida SaboktakinDepartment of Pediatric Endocrinology and Metabolism, Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Tabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDevelopmental delay in preterm infants in different geographical areas has different risk factors. The present research was a large study aiming to assess developmental delay in preterm infants during the first 12 months after birth and its risk factors in northwest Iran (with multiethnic texture). MATERIALS AND

methodsEight hundred and seventy preterm infants (25 to 36 weeks; up to 12 months) were included in this descriptive-analytical study from the beginning of 2019 to the end of 2021 in northwest Iran by the convenient sampling method. Patients' basic and medical information was recorded in the data collection form, and the Ages and Stages Questionnaire (ASQ) was used to assess children's developmental status.

resultsThe prevalence of developmental delay in this study was 26.4%. Regarding demographic characteristics such as age, height (at birth and one year of age), weight (at birth and one year of age), Apgar score (first and twentieth minutes), duration of ventilator connection, comorbidities and complications after birth, and breastfeeding during the first year of life, there was a statistically significant difference between the two groups of infants with and without developmental delay. Breastfeeding during the first 12 months after birth alone could have the power to predict developmental delay in preterm infants.

conclusionBreastfeeding in the first year of life is considered one of the most important predictors of normal development in preterm infants. Therefore, encouraging the parents of these infants to breastfeed their infants at birth can be a positive step in improving the quality of life of these infants in the future.

Indexed as

Developmental delayIranpretermrisk factor

Identifiers

PMID38549661
PMCPMC10977638
OpenAlexW4392154151

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.