SynthesisBMJ open2016
What factors predict length of stay in a neonatal unit: a systematic review.
Synthesis in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
35 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Factors related to postpartum length of stay in women with pre-eclampsia: a systematic review.BMC pregnancy and childbirth · 2025Pooled it
- Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis.Frontiers in medicine · 2023Pooled it
- Parental participation in the care of hospitalized neonates in low- and middle-income countries: A systematic review and meta-analysis.Frontiers in pediatrics · 2022Pooled it
- Bloodstream Infection and Hospital Outcomes Among Very Low Birth Weight Discharges: Mortality, Mechanical Ventilation, and Prolonged Hospitalization in the 2022 HCUP Kids' Inpatient Database.Children (Basel, Switzerland) · 2026Article
- Investigation and control of a meticillin-resistantInfection prevention in practice · 2026Article
- Development and validation of a model predicting preterm infant discharge in level 2 care.Pediatric research · 2026Article
- Risk factors for prolonged ICU stay following congenital oesophageal Atresia surgery: a retrospective study.BMC pediatrics · 2025Article
- Article
- Implementing Telemedicine Intervention in Neonatal Intensive Care Units: Augmented Teleconsultation and Real-Time Monitoring Experience.Telemedicine reports · 2025Article
- Association of Heart Rate Variability with Postnatal Maturation in Preterm Infants.Neonatology · 2025Article
- Article
- Cue-based feeding in the NICU-a pathway to earlier oral feeding of preterm infants.Frontiers in pediatrics · 2024Article
- Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study.Cureus · 2023Article
- A case-based reasoning system for neonatal survival and LOS prediction in neonatal intensive care units: a development and validation study.Scientific reports · 2023Article
- Neonatal intensive care unit occupancy rate and probability of discharge of very preterm infants.Journal of perinatology : official journal of the California Perinatal Association · 2023Article
- Phenotypic and genotypic antibiotic susceptibility profiles of Gram-negative bacteria isolated from bloodstream infections at a referral hospital, Lusaka, Zambia.PLOS global public health · 2023Article
- Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis.Frontiers in pediatrics · 2023Article
- When should a premature neonate (24-35 weeks) be discharged? five-year experience from a single-center neonatal intensive care unit in Türkiye.Turkish journal of medical sciences · 2023Article
- Nutritional Factors Associated with Late-Onset Sepsis in Very Low Birth Weight Newborns.Nutrients · 2021Article
- Predicting next-day discharge via electronic health record access logs.Journal of the American Medical Informatics Association : JAMIA · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveIn the UK, 1 in 10 babies require specialist neonatal care. This care can last from hours to months depending on the need of the baby. The increasing survival of very preterm babies has increased neonatal care resource use. Evidence from multiple studies is crucial to identify factors which may be important for predicting length of stay (LOS). The ability to predict LOS is vital for resource planning, decision-making and parent counselling. The objective of this review was to identify which factors are important to consider when predicting LOS in the neonatal unit.
designA systematic review was undertaken which searched MEDLINE, EMBASE and Scopus for papers from 1994 to 2016 (May) for research investigating prediction of neonatal LOS. Strict inclusion and exclusion criteria were applied. Quality of each study was discussed, but not used as a reason for exclusion from the review.
main outcome measurePrediction of LOS in the neonatal unit.
results9 studies were identified which investigated the prediction of neonatal LOS indicating a lack of evidence in the area. Inherent factors, particularly birth weight, sex and gestational age allow for a simple and objective prediction of LOS, which can be calculated on the first day of life. However, other early occurring factors may well also be important and estimates may need revising throughout the baby's stay in hospital.
conclusionsPredicting LOS is vital to aid the commissioning of services and to help clinicians in their counselling of parents. The lack of evidence in this area indicates a need for larger studies to investigate methods of accurately predicting LOS.
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What OpenQuestion holds
Registered trials
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.