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    <responseDate>2026-10-14T11:32:37Z</responseDate>
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    <identifier>10.57760/sciencedb.cjmcrdd.00132</identifier>
    <datestamp>2026-06-10T10:13:07Z</datestamp>
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  <dc:date>2026-06-10</dc:date>
  <dc:title>Dataset of patients undergoing renal biopsy for primary glomerular disease in Beijing hospitals from August 2018 to May 2021</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.cjmcrdd.00132</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>At present, there is still a lack of relevant evidence for the direct prediction of short-term thromboembolic events in patients with glomerular diseases using thromboelastography parameters. This dataset collected consecutive cases of kidney biopsy for primary glomerular disease in Beijing hospitals from August 2018 to May 2021. Quality control was performed according to inclusion and exclusion criteria, and 41 clinical data items were obtained for each of 290 patients. This dataset can serve as an analytical material for the risk of thrombotic events in patients with primary glomerular disease, and can also be used as basic data to explore the disease characteristics of primary glomerular disease. This dataset consists of one Excel workbook and is named &amp;quot;Dataset of patients undergoing renal biopsy for primary glomerular disease in Beijing hospitals from August 2018 to May 2021&amp;quot;. This data contains one worksheet and a total of 41 clinical data items. The uncompressed data size is 70 KB.&amp;nbsp;</dc:description>
  <dc:subject>Thromboelastography; Glomerular diseases; Nephrotic syndrome; Thrombosis; Risk assessment; renal biopsy; glomerular disease; thromboelastography</dc:subject>
  <dc:creator>xu leng nan</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.3760/cma.j.cn102012-20251021-00091</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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