SynthesisJournal of perinatology : official journal of the California Perinatal Association2020
Comparing mortality risk models in VLBW and preterm infants: systematic review and meta-analysis.
Synthesis in Journal of perinatology : official journal of the California Perinatal Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled 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.
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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association between Endotype of Prematurity and Mortality: A Systematic Review, Meta-Analysis, and Meta-Regression.Neonatology · 2023Pooled it
- On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature.BMC medical informatics and decision making · 2022Pooled it
- Comparison of Clinical Risk Index for Babies (CRIB) II Score and Extended Sick Neonatal Score (ESNS) as a Predictor of In-hospital Mortality in Premature Neonates with Gestational Age ≤ 32 Weeks.Indian pediatrics · 2025Observational
- Comparing nSOFA, CRIB-II, and SNAPPE-II for predicting mortality and short-term morbidities in preterm infants ≤32 weeks gestation.Annals of medicine · 2024Article
- Identification of Neonatal Factors Predicting Pre-Discharge Mortality in Extremely Preterm or Extremely Low Birth Weight Infants: A Historical Cohort Study.Children (Basel, Switzerland) · 2024Article
- Article
- Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models.JMIR medical informatics · 2024Article
- Assessment of intraventricular hemorrhage risk in preterm infants using mathematically simulated cerebral blood flow.Frontiers in neurology · 2024Article
- Antenatal prediction models for outcomes of extremely and very preterm infants based on machine learning.Archives of gynecology and obstetrics · 2023Article
- A nomogram to predict 28-day mortality in neonates with sepsis: a retrospective study based on the MIMIC-III database.Translational pediatrics · 2023Article
- Comparison of STOPS and SNAPPE-II in Predicting Neonatal Survival at Hospital Discharge: A Prospective, Multicentric, Observational Study.Indian journal of pediatrics · 2023Observational
- The elusive biomarker.Pediatric research · 2022Article
- Perinatal risk factors for mortality in very preterm infants-A nationwide, population-based discriminant analysis.Acta paediatrica (Oslo, Norway : 1992) · 2022Article
- A data-driven health index for neonatal morbidities.iScience · 2022Article
- Comparison of different neonatal illness severity scores in predicting mortality risk of extremely low birth weight infants.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2022Article
- Development of an artificial placenta for support of premature infants: narrative review of the history, recent milestones, and future innovation.Translational pediatrics · 2021Review
- Maternal sleep duration and neonatal birth weight: the Japan Environment and Children's Study.BMC pregnancy and childbirth · 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo compare the prognostic accuracy of six neonatal illness severity scores (CRIB, CRIB II, SNAP, SNAP II, SNAP-PE, and SNAP-PE II), birthweight (BW), and gestational age (GA) for predicting pre-discharge mortality among very low birth weight (VLBW) infants (<1500 g) and very preterm infants (<32 weeks' gestational age). STUDY
designPubMed, EMBASE, and Scopus were the data sources searched for studies published before January 2019. Data were extracted, pooled, and analyzed using random-effects models and reported as AUC with 95% confidence intervals (CI).
resultsOf 1659 screened studies, 24 met inclusion criteria. CRIB was the most discriminate for predicting pre-discharge mortality [AUC 0.88 (0.86-0.90)]. GA was the least discriminate [AUC 0.76 (0.72-0.80)].
conclusionsAlthough the original CRIB score was the most accurate predictor of pre-discharge mortality, significant heterogeneity between studies lowers confidence in this pooled estimate. A more precise illness severity score to predict pre-discharge mortality is still needed.
Indexed as
Identifiers
32203174What 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.