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Predicting recurrence of papillary thyroid cancer using the eighth edition of the AJCC/UICC staging system.

Journal articles  - Journal Article
Chereau, N; Oyekunle, TO; Zambeli-Ljepović, A; Kazaure, HS; Roman, SA; Menegaux, F; Sosa, JA
Published in: Br J Surg
June 2019

BACKGROUND: The AJCC/UICC classification is widely used for predicting survival in papillary thyroid cancer (PTC), but has not been evaluated as a predictor of recurrence. The hypothesis of this study was that the eighth edition of the AJCC system can be used in this novel way. METHODS: All patients in the study underwent surgery for PTC at a high-volume endocrine surgery centre in France between 1985 and 2015. The seventh and eighth editions of the AJCC/UICC staging system for PTC were employed to predict recurrence and disease-specific survival using the Kaplan-Meier and log rank tests. RESULTS: Among 4124 patients (79·7 per cent female), median age was 50 (i.q.r. 38-60) years; 3906 patients (94·7 per cent) underwent total thyroidectomy, with lymph node dissection in 2495 (60·5 per cent). The eighth edition of the AJCC/UICC staging system placed 91·8, 7·1, 0·4 and 0·7 per cent of patients in stages I-IV respectively. After reclassifying patients from the seventh to the eighth AJCC/UICC edition, the disease was downstaged in 23·8 per cent. Over a median follow-up of 7 years, 260 patients (6·4 per cent) developed recurrent disease, including 5·2 per cent of patients with stage I, 19·6 per cent with stage II, 59 per cent with stage III and 50 per cent with stage IV disease, according to the eighth edition. The eighth edition was a better predictor of recurrence than the seventh edition. CONCLUSION: The eighth edition of the AJCC/UICC staging system appears to be a novel tool for predicting PTC recurrence, which is a meaningful outcome for this indolent disease. The eighth edition can be used to risk-stratify patients, keeping in mind that other molecular and pathological predictive factors must be integrated into the assessment of recurrence risk.

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Published In

Br J Surg

DOI

EISSN

1365-2168

Publication Date

June 2019

Volume

106

Issue

7

Start / End Page

889 / 897

Location

England

Related Subject Headings

  • Treatment Outcome
  • Thyroidectomy
  • Thyroid Neoplasms
  • Thyroid Cancer, Papillary
  • Surgery
  • Retrospective Studies
  • Registries
  • Proportional Hazards Models
  • Predictive Value of Tests
  • Neoplasm Staging
 

Citation

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ICMJE
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Chereau, N., Oyekunle, T. O., Zambeli-Ljepović, A., Kazaure, H. S., Roman, S. A., Menegaux, F., & Sosa, J. A. (2019). Predicting recurrence of papillary thyroid cancer using the eighth edition of the AJCC/UICC staging system. Br J Surg, 106(7), 889–897. https://doi.org/10.1002/bjs.11145
Chereau, N., T. O. Oyekunle, A. Zambeli-Ljepović, H. S. Kazaure, S. A. Roman, F. Menegaux, and J. A. Sosa. “Predicting recurrence of papillary thyroid cancer using the eighth edition of the AJCC/UICC staging system.Br J Surg 106, no. 7 (June 2019): 889–97. https://doi.org/10.1002/bjs.11145.
Chereau N, Oyekunle TO, Zambeli-Ljepović A, Kazaure HS, Roman SA, Menegaux F, et al. Predicting recurrence of papillary thyroid cancer using the eighth edition of the AJCC/UICC staging system. Br J Surg. 2019 Jun;106(7):889–97.
Chereau, N., et al. “Predicting recurrence of papillary thyroid cancer using the eighth edition of the AJCC/UICC staging system.Br J Surg, vol. 106, no. 7, June 2019, pp. 889–97. Pubmed, doi:10.1002/bjs.11145.
Chereau N, Oyekunle TO, Zambeli-Ljepović A, Kazaure HS, Roman SA, Menegaux F, Sosa JA. Predicting recurrence of papillary thyroid cancer using the eighth edition of the AJCC/UICC staging system. Br J Surg. 2019 Jun;106(7):889–897.
Journal cover image

Published In

Br J Surg

DOI

EISSN

1365-2168

Publication Date

June 2019

Volume

106

Issue

7

Start / End Page

889 / 897

Location

England

Related Subject Headings

  • Treatment Outcome
  • Thyroidectomy
  • Thyroid Neoplasms
  • Thyroid Cancer, Papillary
  • Surgery
  • Retrospective Studies
  • Registries
  • Proportional Hazards Models
  • Predictive Value of Tests
  • Neoplasm Staging