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    <identifier>10.57760/sciencedb.18255</identifier>
    <datestamp>2024-05-14T11:31:50Z</datestamp>
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  <dc:date>2024-05-14</dc:date>
  <dc:title>Rabson Mendenhall syndrome meta-analysis dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.18255</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>	PubMed, Embase, the China National Knowledge Infrastructure (CNKI), and Wanfang databases were systematically searched from their inception until August 7, 2023, without any language limitations. The search strategies employed the following terms: 'Rabson-Mendenhall syndrome' or 'Black acanthosis hirsutism insulin resistance syndrome'. All included studies fulfilled the following eligibility criteria: (1) patients were definitively diagnosed with Rabson-Mendenhall syndrome through DNA testing and clinical assessment; (2) the references provided either comprehensive clinical data of the probands or documented mutations in the INSR gene.&amp;nbsp;The flow chart showed identification articles included and the reasons for their exclusions. The present study examined various clinical and laboratory variables, including: (1) country and area of origin; (2) age at the time of diagnosis; (3) gender; (4) body mass index (BMI); (5) familial history; (6) clinical characteristics; (7) diabetes therapy, encompassing oral hypoglycemic agents (OHA), insulin, and dietary interventions; (8) laboratory test results at the time of diagnosis, encompassing fasting plasma glucose (FPG), fasting insulin (Fins), 2-hour postprandial plasma glucose (2-h PG), 2-hour postprandial insulin (2-h Ins), Glycosylated Hemoglobin (HbA1c); and (9) identification of amino acid substitutions and mutations, along with their respective types and locations within each gene.</dc:description>
  <dc:subject>Rabson-Mendenhall syndrome; meta-analysis; INSR</dc:subject>
  <dc:creator>公文凤</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nd/4.0</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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