ReviewPediatric research2021
Screening methods for neonatal hyperbilirubinemia: benefits, limitations, requirements, and novel developments.
Review in Pediatric research, 2021. 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
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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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Pooled it
- Performance of smartphone application to accurately quantify hyperbilirubinemia in neonates: a systematic review with meta-analysis.European journal of pediatrics · 2023Pooled it
- Advancing neonatal jaundice screening with mHealth: a mixed-methods randomised controlled feasibility study in a resource-limited setting in Mexico.BMJ paediatrics open · 2026Trial
- Evaluating the Picterus Jaundice Pro App for Neonatal Jaundice Screening by Parents: Prospective Mixed Methods Study.JMIR pediatrics and parenting · 2026Article
- [Expert consensus on artificial intelligence-assisted monitoring and management of neonatal jaundice in primary medical institutions (2026)].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026Article
- Development and Validation of a Prenatal Prediction Model for Neonatal Hyperbilirubinemia Based on Maternal Factors: Revealing Heterogeneous Risk Profiles Across Gestational Age Subgroups.International journal of women's health · 2026Article
- A terahertz metamaterial biosensor using nanocrystals for noninvasive urine bilirubin diagnosis.Scientific reports · 2025Article
- Multimodal feature analysis for automated neonatal jaundice assessment using machine learning.JAMIA open · 2025Article
- Observational
- Analysis of the Diagnostic Efficacy of Neonatal Neurobehavioral Assessment Scores Combined with Cranial MRI in Brain Injury Due to Severe Hyperbilirubinemia in Neonates.Journal of multidisciplinary healthcare · 2025Article
- Development and Validation of a Smartphone Application for Neonatal Jaundice Screening.JAMA network open · 2024Article
- Parental detection of neonatal jaundice using a low-cost colour card: a multicentre prospective study.BMJ paediatrics open · 2023Observational
- Iterative Development, Validation, and Certification of a Smartphone System to Assess Neonatal Jaundice: Development and Usability Study.JMIR pediatrics and parenting · 2023Article
- Management challenges in the treatment of severe hyperbilirubinemia in low- and middle-income countries: Encouraging advancements, remaining gaps, and future opportunities.Frontiers in pediatrics · 2023Review
- The use of transcutaneous bilirubin nomograms for the prevention of bilirubin neurotoxicity in the neonates.Frontiers in public health · 2023Article
- Better assessment of neonatal jaundice at home (BEAT Jaundice @home): protocol for a prospective, multicentre diagnostic study.BMJ open · 2022Article
- Maternal Blood Group and Routine Direct Antiglobulin Testing in Neonates: Is There a Role for Selective Neonatal Testing?Children (Basel, Switzerland) · 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 at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe neonatal hyperbilirubinemia (SNH) is a serious condition that occurs worldwide. Timely recognition with bilirubin determination is key in the management of SNH. Visual assessment of jaundice is unreliable. Fortunately, transcutaneous bilirubin measurement for screening newborn infants is routinely available in many hospitals and outpatient settings. Despite a few limitations, the use of transcutaneous devices facilitates early recognition and appropriate management of neonatal jaundice. Unfortunately, however, advanced and often costly screening modalities are not accessible to everyone, while there is an urgent need for inexpensive yet accurate instruments to assess total serum bilirubin (TSB). In the near future, novel icterometers, and in particular optical bilirubin estimates obtained with a smartphone camera and processed with a smartphone application (app), seem promising methods for screening for SNH. If proven reliable, these methods may empower outpatient health workers as well as parents at home to detect jaundice using a simple portable device. Successful implementation of ubiquitous bilirubin screening may contribute substantially to the reduction of the worldwide burden of SNH. The benefits of non-invasive bilirubin screening notwithstanding, any bilirubin determination obtained through non-invasive screening must be confirmed by a diagnostic method before treatment. IMPACT: Key message: Screening methods for neonatal hyperbilirubinemia facilitate early recognition and timely treatment of severe neonatal hyperbilirubinemia (SNH). Any bilirubin screening result obtained must be confirmed by a diagnostic method. What does this article add to the existing literature? Data on optical bilirubin estimation are summarized. Niche research strategies for prevention of SNH are presented. Impact: Transcutaneous screening for neonatal hyperbilirubinemia contributes to the prevention of SNH. A smartphone application with optical bilirubin estimation seems a promising low-cost screening method, especially in low-resource settings or at home.
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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.