Performance of smartphone application to accurately quantify hyperbilirubinemia in neonates: a systematic review with meta-analysis
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...
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creator | Hegde, Deeparaj Rath, Chandra Amarasekara, Sathika Saraswati, Chitra Patole, Sanjay Rao, Shripada |
description | 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
|
doi_str_mv | 10.1007/s00431-023-05073-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2830218522</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2830218522</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-f3553394d3c1a3894e40f58f0a959a90e50eea7dd4a272d4ea36d098e59cefd43</originalsourceid><addsrcrecordid>eNp9kT1v1TAUhi0EoqXwBxiQJZYuKf5I4oStqiitVAkGmK1zneNeV4md2g5V5v5xfHtLQR2YbMvP-_rIDyHvOTvhjKlPibFa8ooJWbGGKVmJF-SQ11JUnKn25T_7A_ImpRtWQj3vXpMDqWTbldMhuf-O0YY4gTdIg6VpgpjnbfBIYZ5HZyC74GkOFIxZImQcV3q7gM_OrnS7zhg3bnRx2TiPkwPqPPUYfAHTZwo0rSnjVEoMjfjL4R29c3lLJ8xQgYdxTS69Ja8sjAnfPa5H5Of5lx9nF9XVt6-XZ6dXlZGizZWVTSNlXw_ScJBdX2PNbNNZBn3TQ8-wYYighqEGocRQI8h2YH2HTW_QDrU8Isf73jmG2wVT1pNLBscRysRL0qKTTPCuEaKgH5-hN2GJZd4dpVquVPdAiT1lYkgpotVzdOUDV82Z3inSe0W6KNIPivQu9OGxetlMODxF_jgpgNwDqVz5a4x_3_5P7W9sVZ7o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2876177822</pqid></control><display><type>article</type><title>Performance of smartphone application to accurately quantify hyperbilirubinemia in neonates: a systematic review with meta-analysis</title><source>Springer Nature - Complete Springer Journals</source><creator>Hegde, Deeparaj ; Rath, Chandra ; Amarasekara, Sathika ; Saraswati, Chitra ; Patole, Sanjay ; Rao, Shripada</creator><creatorcontrib>Hegde, Deeparaj ; Rath, Chandra ; Amarasekara, Sathika ; Saraswati, Chitra ; Patole, Sanjay ; Rao, Shripada</creatorcontrib><description>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.</description><identifier>ISSN: 1432-1076</identifier><identifier>ISSN: 0340-6199</identifier><identifier>EISSN: 1432-1076</identifier><identifier>DOI: 10.1007/s00431-023-05073-2</identifier><identifier>PMID: 37368007</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Bilirubin ; Diagnostic tests ; Hyperbilirubinemia ; Infants ; Jaundice ; Medical diagnosis ; Medicine ; Medicine & Public Health ; Meta-analysis ; Neonates ; Newborn babies ; Pediatrics ; Reviews ; Smartphones ; Systematic review</subject><ispartof>European journal of pediatrics, 2023-09, Vol.182 (9), p.3957-3971</ispartof><rights>Crown 2023</rights><rights>2023. Crown.</rights><rights>Crown 2023.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-f3553394d3c1a3894e40f58f0a959a90e50eea7dd4a272d4ea36d098e59cefd43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00431-023-05073-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00431-023-05073-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37368007$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hegde, Deeparaj</creatorcontrib><creatorcontrib>Rath, Chandra</creatorcontrib><creatorcontrib>Amarasekara, Sathika</creatorcontrib><creatorcontrib>Saraswati, Chitra</creatorcontrib><creatorcontrib>Patole, Sanjay</creatorcontrib><creatorcontrib>Rao, Shripada</creatorcontrib><title>Performance of smartphone application to accurately quantify hyperbilirubinemia in neonates: a systematic review with meta-analysis</title><title>European journal of pediatrics</title><addtitle>Eur J Pediatr</addtitle><addtitle>Eur J Pediatr</addtitle><description>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.</description><subject>Bilirubin</subject><subject>Diagnostic tests</subject><subject>Hyperbilirubinemia</subject><subject>Infants</subject><subject>Jaundice</subject><subject>Medical diagnosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Meta-analysis</subject><subject>Neonates</subject><subject>Newborn babies</subject><subject>Pediatrics</subject><subject>Reviews</subject><subject>Smartphones</subject><subject>Systematic review</subject><issn>1432-1076</issn><issn>0340-6199</issn><issn>1432-1076</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kT1v1TAUhi0EoqXwBxiQJZYuKf5I4oStqiitVAkGmK1zneNeV4md2g5V5v5xfHtLQR2YbMvP-_rIDyHvOTvhjKlPibFa8ooJWbGGKVmJF-SQ11JUnKn25T_7A_ImpRtWQj3vXpMDqWTbldMhuf-O0YY4gTdIg6VpgpjnbfBIYZ5HZyC74GkOFIxZImQcV3q7gM_OrnS7zhg3bnRx2TiPkwPqPPUYfAHTZwo0rSnjVEoMjfjL4R29c3lLJ8xQgYdxTS69Ja8sjAnfPa5H5Of5lx9nF9XVt6-XZ6dXlZGizZWVTSNlXw_ScJBdX2PNbNNZBn3TQ8-wYYighqEGocRQI8h2YH2HTW_QDrU8Isf73jmG2wVT1pNLBscRysRL0qKTTPCuEaKgH5-hN2GJZd4dpVquVPdAiT1lYkgpotVzdOUDV82Z3inSe0W6KNIPivQu9OGxetlMODxF_jgpgNwDqVz5a4x_3_5P7W9sVZ7o</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Hegde, Deeparaj</creator><creator>Rath, Chandra</creator><creator>Amarasekara, Sathika</creator><creator>Saraswati, Chitra</creator><creator>Patole, Sanjay</creator><creator>Rao, Shripada</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20230901</creationdate><title>Performance of smartphone application to accurately quantify hyperbilirubinemia in neonates: a systematic review with meta-analysis</title><author>Hegde, Deeparaj ; Rath, Chandra ; Amarasekara, Sathika ; Saraswati, Chitra ; Patole, Sanjay ; Rao, Shripada</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-f3553394d3c1a3894e40f58f0a959a90e50eea7dd4a272d4ea36d098e59cefd43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bilirubin</topic><topic>Diagnostic tests</topic><topic>Hyperbilirubinemia</topic><topic>Infants</topic><topic>Jaundice</topic><topic>Medical diagnosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Meta-analysis</topic><topic>Neonates</topic><topic>Newborn babies</topic><topic>Pediatrics</topic><topic>Reviews</topic><topic>Smartphones</topic><topic>Systematic review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hegde, Deeparaj</creatorcontrib><creatorcontrib>Rath, Chandra</creatorcontrib><creatorcontrib>Amarasekara, Sathika</creatorcontrib><creatorcontrib>Saraswati, Chitra</creatorcontrib><creatorcontrib>Patole, Sanjay</creatorcontrib><creatorcontrib>Rao, Shripada</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of pediatrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hegde, Deeparaj</au><au>Rath, Chandra</au><au>Amarasekara, Sathika</au><au>Saraswati, Chitra</au><au>Patole, Sanjay</au><au>Rao, Shripada</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance of smartphone application to accurately quantify hyperbilirubinemia in neonates: a systematic review with meta-analysis</atitle><jtitle>European journal of pediatrics</jtitle><stitle>Eur J Pediatr</stitle><addtitle>Eur J Pediatr</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>182</volume><issue>9</issue><spage>3957</spage><epage>3971</epage><pages>3957-3971</pages><issn>1432-1076</issn><issn>0340-6199</issn><eissn>1432-1076</eissn><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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37368007</pmid><doi>10.1007/s00431-023-05073-2</doi><tpages>15</tpages></addata></record> |
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source | Springer Nature - Complete Springer Journals |
subjects | Bilirubin Diagnostic tests Hyperbilirubinemia Infants Jaundice Medical diagnosis Medicine Medicine & Public Health Meta-analysis Neonates Newborn babies Pediatrics Reviews Smartphones Systematic review |
title | Performance of smartphone application to accurately quantify hyperbilirubinemia in neonates: a systematic review with meta-analysis |
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