دورية أكاديمية

Diagnostic Accuracy of Highest-Grade or Predominant Histological Differentiation of T1 Colorectal Cancer in Predicting Lymph Node Metastasis: A Systematic Review and Meta-Analysis

التفاصيل البيبلوغرافية
العنوان: Diagnostic Accuracy of Highest-Grade or Predominant Histological Differentiation of T1 Colorectal Cancer in Predicting Lymph Node Metastasis: A Systematic Review and Meta-Analysis
المؤلفون: Watanabe, Jun, Ichimasa, Katsuro, Kataoka, Yuki, Miyahara, Shoko, Miki, Atsushi, Yeoh, Khay Guan, Kawai, Shigeo, Martínez de Juan, Fernando, Machado, Isidro, Kotani, Kazuhiko, Sata, Naohiro
المساهمون: Japan Society for the Promotion of Science London
المصدر: Clinical and Translational Gastroenterology ; volume 15, issue 3, page e00673 ; ISSN 2155-384X
بيانات النشر: Ovid Technologies (Wolters Kluwer Health)
سنة النشر: 2024
الوصف: INTRODUCTION: Treatment guidelines for colorectal cancer (CRC) suggest 2 classifications for histological differentiation—highest grade and predominant. However, the optimal predictor of lymph node metastasis (LNM) in T1 CRC remains unknown. This systematic review aimed to evaluate the impact of the use of highest-grade or predominant differentiation on LNM determination in T1 CRC. METHODS: The study protocol is registered in the International Prospective Register of Systematic Reviews (PROSPERO, registration number: CRD42023416971) and was published in OSF (https://osf.io/TMAUNTest/) on April 13, 2023. We searched 5 electronic databases for studies assessing the diagnostic accuracy of highest-grade or predominant differentiation to determine LNM in T1 CRC. The outcomes were sensitivity and specificity. We simulated 100 cases with T1 CRC, with an LNM incidence of 11.2%, to calculate the differences in false positives and negatives between the highest-grade and predominant differentiations using a bootstrap method. RESULTS: In 42 studies involving 41,290 patients, the differentiation classification had a pooled sensitivity of 0.18 (95% confidence interval [CI] 0.13–0.24) and 0.06 (95% CI 0.04–0.09) ( P < 0.0001) and specificity of 0.95 (95% CI 0.93–0.96) and 0.98 (95% CI 0.97–0.99) ( P < 0.0001) for the highest-grade and predominant differentiations, respectively. In the simulation, the differences in false positives and negatives between the highest-grade and predominant differentiations were 3.0% (range 1.6–4.4) and −1.3% (range −2.0 to −0.7), respectively. DISCUSSION: Highest-grade differentiation may reduce the risk of misclassifying cases with LNM as negative, whereas predominant differentiation may prevent unnecessary surgeries. Further studies should examine differentiation classification using other predictive factors.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.14309/ctg.0000000000000673
الإتاحة: https://doi.org/10.14309/ctg.0000000000000673Test
حقوق: http://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.A08BA99B
قاعدة البيانات: BASE