Evidence map›Paper›PMID 39347528›Full record

ArticlePediatric investigation2024

Nutritional status and neurodevelopmental levels in infants at high risk of cerebral palsy.

Hongyu Zhou, Huiying Qiu, Xiaoyue Wang, Jingyi Zhao, Jingbo Zhang, Yuan Zhang, Tingting Peng, Xubo Yang, Yahui Cheng, Qingfen Hou and 8 more

Abstract read
In one paragraph

Article in Pediatric investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

18 authors.

Hongyu ZhouDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Huiying QiuDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Xiaoyue WangDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.ORCID https://orcid.org/0009-0006-7701-4306
Jingyi ZhaoDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Jingbo ZhangDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Yuan ZhangDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Tingting PengDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Xubo YangDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Yahui ChengDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Qingfen HouDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Wen YangDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Xiaoyin HuangDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Shaihong QiuDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Liying MaDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Yuai ZhengDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Hongmei TangDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Lu HeDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.
Kaishou XuDepartment of Rehabilitation, Guangzhou Women and Children Medical Center Guangzhou Medical University Guangdong China.ORCID https://orcid.org/0000-0002-0639-3488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Nutrition is associated with neurodevelopment. Infants at high risk of cerebral palsy (CP) usually suffer from undernutrition, yet the relationship between nutritional status and neurodevelopmental levels is unclear. Objective: To describe the nutritional status characteristics of infants at high risk of CP, and to explore the relationship between neurodevelopmental levels and nutritional status. Methods: This single-center cross-sectional study enrolled infants at high risk of CP, with corrected age from 0 days to 12 months. Weight and height were measured and calculated into z-scores, which were used to classify the nutritional status based on the World Health Organization growth charts and American Society for Parenteral and Enteral Nutrition standards. The Bayley Scales of Infant and Toddler Development were used to evaluate the developmental levels of gross motor, fine motor, cognition, receptive communication, and expressive communication. Results: A total of 479 infants at high risk of CP were recruited, with 43.4% classified as undernutrition. Compared to those with normal neurodevelopment, the odds of moderate and severe undernutrition were about 1.8 and 3.9 times higher in gross motor delay, 2.2 and 3.1 times higher in fine motor delay, 2.5 and 9.4 times higher in cognition delay, 2.2 and 3.9 times higher in receptive communication delay, and 3.0 and 5.6 times higher in expressive communication delay. There were significant positive correlations between nutritional status and neurodevelopmental levels ( Interpretation: Undernutrition and neurodevelopmental delays are prevalent among infants at high risk of CP. Worse nutritional status was correlated with lower neurodevelopmental levels.

Indexed as

Cerebral palsyHigh riskInfantNeurodevelopmentNutrition

Identifiers

PMID39347528
PMCPMC11428172

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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.