ArticleScientific data2020
PIC, a paediatric-specific intensive care database.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.
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.
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Who cites it
93 citing papers in PubMed.
- Machine Learning on the Pediatric Intensive Care (PIC) Database: PIC-Powered Prediction.Bioengineering (Basel, Switzerland) · 2026Review
- Development and validation of an interpretable machine learning model using routine laboratory biomarkers to stratify severe pneumonia risk in young children.Journal of advanced research · 2026Article
- Feasibility of a German High-Frequency Neonatal and Pediatric Intensive Care Dataset (AIx-Neo-Guard Dataset): Secondary Data Cohort Study.JMIR pediatrics and parenting · 2026Article
- Admission body temperature and in-hospital mortality in critically ill children with pneumonia: a retrospective cohort study.BMC pediatrics · 2026Article
- C-reactive protein-triglyceride glucose index and its dynamic trajectories on all-cause mortality in critically ill children: a longitudinal, retrospective cohort study.Pediatric research · 2026Article
- MAP: evaluation and multi-agent enhancement of large language models for inpatient pathways.npj health systems · 2026Article
- Development and validation of a machine learning-based diagnostic system for 22 pediatric respiratory pathogens: a large-scale multicenter study.NPJ digital medicine · 2026Article
- DR.ECC: a comprehensive multimodal electronic health record database for emergency and critical care in China.World journal of emergency medicine · 2026Article
- Sodium bicarbonate therapy for metabolic acidosis in children stratified by acute kidney injury status and chloride levels: a retrospective cohort study.Translational pediatrics · 2026Article
- Association between lactate dehydrogenase to serum albumin ratio and all-cause mortality among critically ill pediatrics: a retrospective cohort study.BMC pediatrics · 2026Article
- Prediction model of postoperative mortality for congenital heart disease: evidence from two large-scale cohorts.Scientific reports · 2026Article
- Blood-based inflammatory parameters and machine learning models for mortality prediction in critically ill pediatric pneumonia: a retrospective cohort study.Translational pediatrics · 2026Article
- A novel age-norm-capped baseline serum creatinine approach for acute kidney injury diagnosis in critically Ill children: a retrospective cohort study.Frontiers in pediatrics · 2026Article
- A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data.Health data science · 2026Review
- Triglyceride-Glucose Index and 30-day mortality in pediatric sepsis: a retrospective cohort study based on PIC database.Frontiers in pediatrics · 2026Article
- Prognostic value of admission ionized calcium for short-term mortality in critically Ill children with sepsis: a single-center retrospective cohort study.Frontiers in pediatrics · 2026Article
- Predicting In-Hospital Mortality in Pediatric Sepsis: Machine Learning Development and Multicenter Validation.Journal of inflammation research · 2026Article
- Machine learning early risk assessment model for acute kidney injury in critically ill children: a retrospective cohort study.Frontiers in pediatrics · 2026Article
- Association between serum phosphate levels and outcome among critically ill newborns: a retrospective cohort study.Frontiers in pediatrics · 2026Article
- Building the future of ICU care: Is our digital foundation strong enough? A multicentre survey of Australian and New Zealand intensive care units.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
PIC (Paediatric Intensive Care) is a large paediatric-specific, single-centre, bilingual database comprising information relating to children admitted to critical care units at a large children's hospital in China. The database is deidentified and includes vital sign measurements, medications, laboratory measurements, fluid balance, diagnostic codes, length of hospital stays, survival data, and more. The data are publicly available after registration, which includes completion of a training course on research with human subjects and signing of a data use agreement mandating responsible handling of the data and adherence to the principle of collaborative research. Although the PIC can be considered an extension of the widely used MIMIC (Medical Information Mart for Intensive Care) database in the field of paediatric critical care, it has many unique characteristics and can support database-based academic and industrial applications such as machine learning algorithms, clinical decision support tools, quality improvement initiatives, and international data sharing.
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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.