Evidence map›Paper›PMID 38670169›Full record

ArticleJornal de pediatria

Insulin reference intervals in Brazilian adolescents by direct and indirect approaches: validation of a data mining method from laboratory data.

Monica D C Freire, Paulo R T P Dias, Thiago S P Souza, Caio K Hirose, Paula B M C Araujo, Mario F T Neves

Abstract readValidation Study
In one paragraph

Article in Jornal de pediatria. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Monica D C FreireUniversidade do Estado do Rio de Janeiro, Pós Graduação em Ciências Médicas, Rio de Janeiro, RJ, Brazil. Electronic address: freire5@yahoo.com.
Paulo R T P DiasUniversidade Federal Fluminense, Instituto de Saúde Coletiva, Departamento de Epidemiologia e Bioestatística, Niterói, RJ, Brazil; Instituto de Ensino e Pesquisa DASA, São Paulo, SP, Brazil; Universidade do Estado do Rio de Janeiro, Núcleo de Estudos e Pesquisas em Atenção ao Uso de Drogas, Rio de Janeiro, RJ, Brazil.
Thiago S P SouzaUniversidade do Estado do Rio de Janeiro, Instituto de Matemática e Estatística, Rio de Janeiro, RJ, Brazil.
Caio K HiroseDASA, Analytics Department, São Paulo, SP, Brazil.
Paula B M C AraujoUniversidade Federal do Rio de Janeiro, Faculdade de Medicina, Pós-graduação em Endocrinologia, Rio de Janeiro, RJ, Brazil.
Mario F T NevesUniversidade do Estado do Rio de Janeiro, Faculdade de Ciências Médicas, Rio de Janeiro, RJ, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine reference intervals (RI) for fasting blood insulin (FBI) in Brazilian adolescents, 12 to 17 years old, by direct and indirect approaches, and to validate indirectly determined RI.

methodsTwo databases were used for RI determination. Database 1 (DB1), used to obtain RI through a posteriori direct method, consisted of prospectively selected healthy individuals. Database 2 (DB2) was retrospectively mined from an outpatient laboratory information system (LIS) used for the indirect method (Bhattacharya method).

resultsFrom DB1, 29345 individuals were enrolled (57.65 % female) and seven age ranges and sex partitions were statistically determined according to mean FBI values: females: 12 and 13 years-old, 14 years-old, 15 years-old, 16 and 17 years-old; and males: 12, 13 and 14 years-old, 15 years-old, 16 and 17 years-old. From DB2, 5465 adolescents (67.5 % female) were selected and grouped according to DB1 partitions. The mean FBI level was significantly higher in DB2, on all groups. The RI upper limit (URL) determined by Bhattacharya method was slightly lower than the 90 % CI URL directly obtained on DB1, except for group female 12 and 13 years old. High agreement rates for diagnosing elevated FBI in all groups on DB1 validated indirect RI presented.

conclusionThe present study demonstrates that Bhattacharya indirect method to determine FBI RI in adolescents can overcome some of the difficulties and challenges of the direct approach.

Indexed as

Data MiningFastingInsulinAdolescentBrazilChildDatabases, FactualFemaleHumansMaleReference ValuesRetrospective StudiesInsulinAdolescentData miningInsulinReference interval

Identifiers

PMID38670169
PMCPMC11361890

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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.