Evidence map›Paper›PMID 35783321›Full record

ArticleFrontiers in pediatrics2022

The Disease Spectrum and Influencing Factors of NICU in Xiangxi, Underdeveloped Area of China: A 9-Year Retrospective Study.

Fen Xie, Yuhua Zhu, Lulu Chen, Ruyi Han, Qingxia Shu, Zheng-Ying Chen, Jinxiu Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2022. 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
0.2field-weighted citation impact, top 51% 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. Observational
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 at 2 institutions in 1 country.

Fen XieDepartment of Nursing, Jishou University School of Medicine, Jishou, China.
Yuhua ZhuDepartment of Nursing, Jishou University School of Medicine, Jishou, China.
Lulu ChenDepartment of Nursing, Jishou University School of Medicine, Jishou, China.
Ruyi HanDepartment of Nursing, Jishou University School of Medicine, Jishou, China.
Qingxia ShuDepartment of Neonatology, The Fourth Affiliated Hospital of Jishou University (The First People's Hospital of Huaihua), Huaihua, China.
Zheng-Ying ChenDepartment of Nursing, Jishou University School of Medicine, Jishou, China.
Jinxiu LiDepartment of Nursing, Jishou University School of Medicine, Jishou, China.
Huaian First People’s Hospital · CNJishou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Investigation of the basic conditions and disease spectrum in neonatal intensive care unit (NICU) from 2012 to 2020, in the underdeveloped area of Xiangxi, China. Methods: All newborns ( Results: The average male/female ratio was 1.43:1, with 9,482 males and 6,612 females admitted to the NICU. The sample comprised 41.02% premature infants, and 56.52% had been delivered Conclusion: The study contributes in-depth information about infant characteristics in an NICU in an undeveloped region of China. In the past 9 years, the average proportion of premature infants in the NICU decreased to 37.38% in 2020, but this figure remains higher than the Chinese national average of 26.2%. Similarly, the CD rate is higher than the Chinese average. The spectrum of neonatal diseases in the NICU in Xiangxi area is drawn, included jaundice, respiratory and neurological diseases, primarily. Through statistical analysis, it is found that the types and prevalence of neonatal diseases are closely related to different gender, gestational age, patient sources, delivery methods, and birth weight (

Indexed as

disease spectruminfluencing factorneonatal intensive care unit (NICU)newbornsunderdeveloped region

Identifiers

PMID35783321
PMCPMC9247320
OpenAlexW4283075035

What OpenQuestion holds

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LicenceCC BY
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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.