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    <responseDate>2026-10-14T11:25:29Z</responseDate>
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                <identifier>oai:data.mendeley.com/mynjx8hjvt.1</identifier>
                <datestamp>2025-10-01T15:28:50Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Zhou, Jingya</dc:creator>
    <dc:title>The Three-Dimensional Hormonal Profile in Patients with PitNETs</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains clinical and pathological information from 1096  surgical patients with PitNETs (Pituitary Neuroendocrine Tumors). It includes the following fields: patient number, admission date, discharge date, pathology report version (categorized as pre-2017 or 2017/2022 versions), gender, age at admission, pathological classification according to WHO 2022, hormone pattern reflected in the discharge diagnosis, hormone pattern reflected in the pathological report, and hormone pattern reflected in the ICD-10 coding. This dataset is suitable for analyzing the epidemiological characteristics of PitNETs, the consistency between pathological classification and hormone expression, the accuracy of diagnostic coding, and the classification differences between the different pathology versions.</dc:description>
    <dc:subject>Pituitary Tumor</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/mynjx8hjvt.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/mynjx8hjvt.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2025-10-01T15:28:50Z</dc:date>
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