Evidence map›Paper›PMID 34012825›Full record

ArticleTranslational pediatrics2021

Neonatal outcome of small for gestational age infants born at 26-33 weeks' gestation in Chinese neonatal intensive care units.

Yihuang Huang, Lan Zhang, Huiqing Sun, Cuiqing Liu, Yi Yang, Shoo K Lee, Yun Cao, Siyuan Jiang

Open access · diamondAbstract read
In one paragraph

Article in Translational pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 10 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

8 authors at 4 institutions in 2 countries.

Yihuang HuangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Lan ZhangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Huiqing SunDepartment of Neonatology, Henan Children's Hospital, Zhengzhou, China.
Cuiqing LiuDepartment of Neonatology, Hebei Children's Hospital, Shijiazhuang, China.
Yi YangNHC Key Laboratory of Neonatal Diseases (Fudan University), Children's Hospital of Fudan University, Shanghai, China.
Shoo K LeeMaternal-Infant Care Research Centre and Department of Pediatrics, Mount Sinai Hospital, Toronto, Canada.
Yun CaoDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Siyuan JiangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Children's Hospital of Fudan University · CNHospital of Hebei Province · CNMount Sinai Hospital · CAZhengzhou Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRate and outcomes of small for gestational age (SGA) infants admitted to Chinese neonatal intensive care units (NICU) has been poorly demonstrated. We aimed to describe the rate and outcomes of SGA preterm infants in Chinese NICU, and to evaluate the association of SGA status with neonatal outcomes in different gestational age (GA) and birth weight percentile groups.

methodsThis cohort study included all infants born at 26-33 weeks' gestation and admitted to 25 tertiary Chinese NICUs from April 2015 to May 2018. SGA was defined as a birthweight <10th percentile for GA based on the Chinese neonatal birth weight curve.

resultsA total of 24,596 infants were included, and 1,867 (7.6%) infants were SGA. SGA infants had significantly higher rates of death or any major morbidity (29.8%

conclusionsSGA contributes significantly to adverse neonatal outcomes. Specific attentions are warranted when caring for SGA preterm infants.

Indexed as

Chinaneonatal outcomepretermSmall for gestational age (SGA)

Identifiers

PMID34012825
PMCPMC8107883
OpenAlexW3155879840

What OpenQuestion holds

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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.