Evidence map›Paper›PMID 37368007›Full record

SynthesisEuropean journal of pediatrics2023

Performance of smartphone application to accurately quantify hyperbilirubinemia in neonates: a systematic review with meta-analysis.

Deeparaj Hegde, Chandra Rath, Sathika Amarasekara, Chitra Saraswati, Sanjay Patole, Shripada Rao

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.1field-weighted citation impact, top 7% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. 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

6 authors at 4 institutions in 1 country.

Deeparaj HegdeKing Edward Memorial Hospital, Subiaco, WA, 6008, Australia.
Chandra RathKing Edward Memorial Hospital, Subiaco, WA, 6008, Australia. drcprath@gmail.com.
Sathika AmarasekaraKing Edward Memorial Hospital, Subiaco, WA, 6008, Australia.
Chitra SaraswatiTelethon Kids Institute, Nedlands, WA, Australia.
Sanjay PatoleKing Edward Memorial Hospital, Subiaco, WA, 6008, Australia.
Shripada RaoPerth Children's Hospital, Nedlands, WA, 6008, Australia.
King Edward Memorial Hospital · AUPerth Children's HospitalPrincess Margaret Hospital for Children · AUThe Kids Research Institute Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal jaundice is a common clinical condition that can progress to severe hyperbilirubinemia if identification and intervention are delayed. In this study, we aimed to analyze the current evidence on the accurate performance of smartphone applications to quantify bilirubin levels. PubMed, Embase, Emcare, MEDLINE, the Cochrane Library, and Google Scholar were searched from inception until July 2022. Grey literature was searched on "OpenGrey" and "MedNar" databases. We included prospective and retrospective cohort studies that recruited infants with a gestation of ≥ 35 weeks and reported paired total serum bilirubin (TSB) and smartphone app-based bilirubin (ABB) levels. We conducted the review using the guidelines of the Cochrane Collaboration Diagnostic Test Accuracy Working Group and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-diagnostic test accuracy (PRISMA-DTA) statement. The data were pooled using the random effects model. The outcome of interest was agreement between ABB and TSB measurements, provided as correlation coefficient, mean difference, and standard deviation. Certainty of evidence (COE) was assessed based on GRADE guidelines. Fourteen studies were included in the meta-analysis. The number of infants in individual studies ranged between 35 and 530. The pooled correlation coefficient (r) between ABB and TSB was 0.77 (95% CI 0.69 to 0.83; p < 0.01). Reported sensitivities for predicting a TSB of 250 µmol/L in individual studies ranged between 75 and 100% and specificities ranged from 61 to 100%. Similarly, a sensitivity of 83 to 100% and a specificity of 19.5 to 76% were reported for predicting a TSB of 205 μmol/L. Overall COE was considered moderate.    Conclusion: Smartphone app-based bilirubin estimation showed a reasonable correlation to TSB levels. Well-designed studies are required to determine its utility as a screening tool for various TSB cut-off levels. What is Known: • Neonatal jaundice is a common clinical condition. Timely screening and intervention are necessary to prevent neurological morbidities • Transcutaneous bilirubinometer is a widely used non-invasive screening device but is mostly available in hospital settings and has cost limitations. Researchers have recently explored the utility of smartphone applications to estimate bilirubin levels in neonates. What is New: • This is the first systematic review and meta-analysis conducted to assess the performance of smartphone applications to detect neonatal hyperbilirubinemia. • Bilirubin estimates of newborn infants obtained through smartphone applications had a reasonable correlation with serum bilirubin levels.

Indexed as

BilirubinHyperbilirubinemia, NeonatalMobile ApplicationsNeonatal ScreeningSmartphoneHumansInfant, NewbornSensitivity and SpecificityBilirubinBilirubinJaundiceNeonateScreeningSmartphone

Identifiers

PMID37368007
OpenAlexW4382182168

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.