Evidence map›Paper›PMID 41394418›Full record

ArticlePeerJ2025

Variations in length of stay among surviving preterm infants admitted to neonatal intensive care units in Shenzhen, China.

Dandan Rao, Zhangbin Yu, Rongtian Liu, Rui Wang, Xin Guo, Huiying Tu, Ping Jiang, Jing Zhang, Jinxing Feng, Linying Yang and 2 more

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Dandan RaoShenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Zhangbin YuDepartment of Neonatology, Shenzhen People's Hospital, Shenzhen, Guangdong, China.
Rongtian LiuDepartment of Neonatology, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China.
Rui WangShenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Xin GuoDepartment of Neonatology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong, China.
Huiying TuDepartment of Neonatology, Shenzhen People's Hospital, Shenzhen, Guangdong, China.
Ping JiangShenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Jing ZhangShenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Jinxing FengDepartment of Neonatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Linying YangDepartment of Neonatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Yuqin YanDepartment of Neonatology, Shenzhen People's Hospital, Shenzhen, Guangdong, China.
Jiebo LiuShenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global preterm birth rate is currently around 10%, making it a major contributor to both neonatal mortality and long-term health complications. Length of stay (LOS) in hospital is a key metric when assessing the quality of medical care for preterm infants. Therefore, a comprehensive analysis of LOS in preterm infants, along with the identification of associated risk factors, is essential in order to improve clinical outcomes and optimize healthcare strategies. Objective: This study examined the LOS and total hospitalization costs of preterm infants admitted to neonatal intensive care units (NICUs) in three hospitals in China . The study also investigated the factors affecting the LOS and total hospitalization costs of surviving preterm infants admitted to NICUs. Methods: This is a retrospective analysis of preterm infants born between January 2020 and December 2023 who were admitted to one of three participating tertiary care centers within one week after birth. Baseline characteristics, LOS, and hospitalization costs were described and summarized. Generalized linear models were utilized to estimate adjusted associations between LOS and various factors. Results: This study included 2,887 preterm infants. The median total LOS was 10 days (interquartile range (IQR): 7-20), and the median total hospitalization cost was RMB ¥16,287.3 (IQR: ¥10,541.9-32,342.3). Both LOS and hospitalization costs decreased significantly with increasing gestational age (GA) and birth weight (BW). Infants at 34 to 36+6weeks' gestation had a 68% shorter LOS compared to those at <28 weeks (relative risk (RR) 0.32, 95% confidence interval (CI) [0.27-0.38]). Similarly, infants with BW ≥ 2,500 g had a 54% shorter LOS than those <1,000 g (RR 0.46, 95% CI [0.39-0.54]). Conclusion: Low GA, low BW, maternal hypertension, low Apgar score , small for GA (SGA), bronchopulmonary dysplasia (BPD), sepsis, and extrauterine growth retardation were associated with prolonged hospitalization.

Indexed as

Infant, PrematureIntensive Care Units, NeonatalLength of StayChinaFemaleGestational AgeHospital CostsHospitalizationHumansInfant, NewbornMaleRetrospective StudiesRisk FactorsHospitalization costsLength of stayNeonatal intensive care unitPreterm birthRisk factors

Identifiers

PMID41394418
PMCPMC12697294

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Registered trials

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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.