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  • Heidsma, Charlotte M (author)

International Validation of a Nomogram to Predict Recurrence after Resection of Grade 1 and 2 Nonfunctioning Pancreatic Neuroendocrine Tumors

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2021-07-29
  • S. Karger,2022
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:uu-490482
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-490482URI
  • https://doi.org/10.1159/000518757DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • BACKGROUND: Despite the low recurrence rate of resected nonfunctional pancreatic neuroendocrine tumors (NF-pNETs), nearly all patients undergo long-term surveillance. A prediction model for recurrence may help select patients for less intensive surveillance or identify patients for adjuvant therapy. The objective of this study was to assess the external validity of a recently published model predicting recurrence within 5 years after surgery for NF-pNET in an international cohort. This prediction model includes tumor grade, lymph node status and perineural invasion as predictors.METHODS: Retrospectively, data were collected from 7 international referral centers on patients who underwent resection for a grade 1-2 NF-pNET between 1992 and 2018. Model performance was evaluated by calibration statistics, Harrel's C-statistic, and area under the curve (AUC) of the receiver operating characteristic curve for 5-year recurrence-free survival (RFS). A sub-analysis was performed in pNETs >2 cm. The model was improved to stratify patients into 3 risk groups (low, medium, high) for recurrence.RESULTS: Overall, 342 patients were included in the validation cohort with a 5-year RFS of 83% (95% confidence interval [CI]: 78-88%). Fifty-eight patients (17%) developed a recurrence. Calibration showed an intercept of 0 and a slope of 0.74. The C-statistic was 0.77 (95% CI: 0.70-0.83), and the AUC for the prediction of 5-year RFS was 0.74. The prediction model had a better performance in tumors >2 cm (C-statistic 0.80).CONCLUSIONS: External validity of this prediction model for recurrence after curative surgery for grade 1-2 NF-pNET showed accurate overall performance using 3 easily accessible parameters. This model is available via www.pancreascalculator.com.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • van Roessel, Stijn (author)
  • van Dieren, Susan (author)
  • Engelsman, Anton F (author)
  • Strobel, Oliver (author)
  • Buechler, Markus W (author)
  • Schimmack, Simon (author)
  • Perinel, Julie (author)
  • Adham, Mustapha (author)
  • Deshpande, Vikram (author)
  • Kjaer, JosefineUppsala universitet,Endokrinkirurgi(Swepub:uu)joskj191 (author)
  • Norlén, OlovUppsala universitet,Endokrinkirurgi(Swepub:uu)olono376 (author)
  • Gill, Anthony J (author)
  • Samra, Jaswinder S (author)
  • Mittal, Anubhav (author)
  • Hoogwater, Frederik J H (author)
  • Primavesi, Florian (author)
  • Stättner, Stefan (author)
  • Besselink, Marc G (author)
  • van Eijck, Casper H J (author)
  • Nieveen van Dijkum, E J M (author)
  • Uppsala universitetEndokrinkirurgi (creator_code:org_t)

Related titles

  • In:Neuroendocrinology: S. Karger112:6, s. 571-5790028-38351423-0194

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