{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T07:20:12Z","timestamp":1780471212617,"version":"3.54.1"},"reference-count":29,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2017,5,28]],"date-time":"2017-05-28T00:00:00Z","timestamp":1495929600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81500609"],"award-info":[{"award-number":["81500609"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81570702"],"award-info":[{"award-number":["81570702"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clinical Endocrinology"],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      No single histological or molecular marker is diagnostic for malignant phaeochromocytomas and paragangliomas (\n                      <jats:styled-content style=\"fixed-case\">PPGL<\/jats:styled-content>\n                      s). This study aimed to establish and evaluate a prognostic nomogram to improve the prediction of metastatic probability in individual\n                      <jats:styled-content style=\"fixed-case\">PPGL<\/jats:styled-content>\n                      patients.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Three hundred and 47 consecutive\n                      <jats:styled-content style=\"fixed-case\">PPGL<\/jats:styled-content>\n                      patients from January 2002 through December 2014 were randomly divided into a training set (n=208) and a validation set (n=139). A multivariate logistic regression analysis of selected prognostic features was performed, and a nomogram to predict metastasis was constructed. Discrimination and calibration were employed to evaluate the performance of the nomogram. Clinical usefulness was calculated using decision curve analysis.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The overall metastatic rate was 10.6%. Primary tumour size, primary tumour location, vascular invasion,\n                      <jats:styled-content style=\"fixed-case\">ERBB<\/jats:styled-content>\n                      \u20102 overexpression,\n                      <jats:styled-content style=\"fixed-case\">SDHB<\/jats:styled-content>\n                      mutation and catecholamine type were associated with malignancy in the logistic analysis and were included in the nomogram. The nomogram showed an area under the receiver operating characteristic curve (\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      ) of 0.872 (95% confidence interval [\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      ], 0.819\u20100.914) in the training set. The validation set showed good discrimination, with an\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      of 0.870 (95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      , 0.803\u20100.921). The nomogram was well calibrated, with no significant difference between the predicted and the observed probabilities (Hosmer\u2010Lemeshow test:\n                      <jats:italic>P<\/jats:italic>\n                      =.510 for the training set; .314 for the validation set). Decision curve analysis revealed that molecular markers (\n                      <jats:styled-content style=\"fixed-case\">ERBB<\/jats:styled-content>\n                      \u20102 overexpression and\n                      <jats:styled-content style=\"fixed-case\">SDHB<\/jats:styled-content>\n                      mutation) could increase the clinical benefit of the nomogram.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Our results support the use of the present biomarker\u2010based nomogram, which has good discriminative ability, to predict the metastatic probability of\n                      <jats:styled-content style=\"fixed-case\">PPGL<\/jats:styled-content>\n                      s.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/cen.13357","type":"journal-article","created":{"date-parts":[[2017,4,21]],"date-time":"2017-04-21T05:22:45Z","timestamp":1492752165000},"page":"127-135","source":"Crossref","is-referenced-by-count":11,"title":["Establishment and evaluation of a novel biomarker\u2010based nomogram for malignant phaeochromocytomas and paragangliomas"],"prefix":"10.1111","volume":"87","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2175-3437","authenticated-orcid":false,"given":"Xu","family":"Zhong","sequence":"first","affiliation":[{"name":"Shanghai Key Laboratory for Endocrine Tumors Shanghai Clinical Center for Endocrine and Metabolic Diseases Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Ministry Ruijin Hospital Shanghai Jiao Tong University School of Medicine  Shanghai 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