Is Binary Grading Better Than WHO System for Grading Epithelial Dysplasia? A Systematic Review and Meta-Analysis

被引:0
|
作者
Gopinath, Divya [1 ]
On, Cheng Yung [2 ]
Veettil, Sajesh Kalkandi [3 ]
Tilakaratne, W. M. [4 ]
机构
[1] Ajman Univ, Coll Dent, Basic Med & Dent Sci Dept, Ajman, U Arab Emirates
[2] Int Med Univ, Kuala Lumpur, Malaysia
[3] Int Med Univ, Sch Pharm, Kuala Lumpur, Malaysia
[4] Univ Malaya, Fac Dent, Dept Clin & Diagnost Oral Sci, Kuala Lumpur, Malaysia
关键词
binary grading; epithelial dysplasia; examiner variability; OPMD; WHO grading; POTENTIALLY MALIGNANT DISORDERS; RISK; RELIABILITY; DIAGNOSIS; LESIONS;
D O I
10.1111/odi.15160
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
BackgroundThis meta-analysis summarizes the current evidence on the intra- and inter-observer agreement between WHO and the binary grading systems used to assess epithelial dysplasia (ED).MethodsA systematic search for observational studies that compared the level of agreement among pathologists between WHO and binary grading systems for ED was conducted using three databases: Medline, Scopus, and EBSCOhost. For the meta-analysis, summary estimations of kappa value (kappa) and standard error (SE) were utilized.ResultsThe pooled analysis of observations by 46 pathologists from a total of eight studies showed better interobserver agreement in the interpretation of ED for the binary system (kappa = 0.31; 95% confidence interval [CI], 0.23-0.40) in comparison with the WHO (kappa = 0.14; 95% CI, 0.10-0.19). The intra-observer agreement was reported only by five studies and was also found to be higher for the binary system (kappa = 0.44; 95% CI, 0.31-0.57) compared to the WHO (kappa = 0.25; 95% CI, 0.11-0.39).ConclusionsOur results validate that the binary system has better overall intra-observer and interobserver agreement than the WHO system. Further studies with larger cohorts are mandatory before clinically relevant conclusions are drawn, as evidence remains inadequate.
引用
收藏
页码:59 / 68
页数:10
相关论文
共 50 条
  • [21] Prognostic impact of the IASLC grading system of lung adenocarcinoma: a systematic review and meta- analysis
    Hegedus, F.
    Zombori-Toth, N.
    Kiss, S.
    Lantos, T.
    Zombori, T.
    VIRCHOWS ARCHIV, 2024, 485 : S442 - S443
  • [22] Gastric epithelial dysplasia and adenoma: Historical review and histological criteria for grading
    Goldstein, NS
    Lewin, KJ
    HUMAN PATHOLOGY, 1997, 28 (02) : 127 - 133
  • [23] The binary oral dysplasia grading system: validity testing and suggested improvement
    Nankivell, Paul
    Williams, Hazel
    Matthews, Paul
    Suortamo, Sari
    Snead, David
    McConkey, Christopher
    Mehanna, Hisham
    ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY, 2013, 115 (01): : 87 - 94
  • [24] Psychometric properties of scales used for grading the severity of bronchial obstruction in pediatrics: A systematic review and meta-analysis
    Luarte-Martinez, Soledad
    Rodriguez-Nunez, Ivan
    Astudillo, Paula
    Manterola, Carlos
    ARCHIVOS ARGENTINOS DE PEDIATRIA, 2017, 115 (03): : 241 - 248
  • [25] RELIABILTY OF PREOPERATIVE PANCREATIC NEUROENDOCRINE TUMORS GRADING ON ENDOSCOPIC ULTRASOUND SPECIMENS: A SYSTEMATIC REVIEW WITH META-ANALYSIS
    Tacelli, M.
    Bina, N.
    Barresi, L.
    Vanni, Sbrozzi A.
    Fantin, A.
    Antonini, F.
    Arcidiacono, P. G.
    Capurso, G.
    Facciorusso, A.
    Crino, S. F.
    DIGESTIVE AND LIVER DISEASE, 2022, 54 : S91 - S91
  • [26] Hyperbaric Oxygen Therapy for Diabetic Foot Ulcers Based on Wagner Grading: A Systematic Review and Meta-analysis
    Oley, Mendy Hatibie
    Oley, Maximillian Christian
    Kepel, Billy Johnson
    Faruk, Muhammad
    Wagiu, Angelica Maurene Joicetine
    Sukarno, Irawan
    Tulong, Marcella Tirsa
    Sukarno, Vania
    PLASTIC AND RECONSTRUCTIVE SURGERY-GLOBAL OPEN, 2024, 12 (03) : E5692
  • [27] Grading diagnostic accuracy of EUS Tissue Acquisition in pancreatic neuroendocrine tumors: A systematic review and meta-analysis
    Tacelli, M.
    Bina, N.
    Crino, S. F.
    Facciorusso, A.
    Barresi, L.
    Sbrozzi-Vanni, A.
    Fantin, A.
    Antonini, F.
    Capurso, G.
    Arcidiacono, P. G.
    JOURNAL OF NEUROENDOCRINOLOGY, 2022, 34 : 83 - 83
  • [28] A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading
    Andrey Morozov
    Mark Taratkin
    Andrey Bazarkin
    Juan Gomez Rivas
    Stefano Puliatti
    Enrico Checcucci
    Ines Rivero Belenchon
    Karl-Friedrich Kowalewski
    Anastasia Shpikina
    Nirmish Singla
    Jeremy Y. C. Teoh
    Vasiliy Kozlov
    Severin Rodler
    Pietro Piazza
    Harun Fajkovic
    Maxim Yakimov
    Andre Luis Abreu
    Giovanni E. Cacciamani
    Dmitry Enikeev
    Prostate Cancer and Prostatic Diseases, 2023, 26 : 681 - 692
  • [29] Diagnostic Accuracy of Machine Learning-Based Radiomics in Grading Gliomas: Systematic Review and Meta-Analysis
    Sohn, Curtis K.
    Bisdas, Sotirios
    CONTRAST MEDIA & MOLECULAR IMAGING, 2020, 2020
  • [30] Radiomics in Diagnosis, Grading, and Treatment Response Assessment of Soft Tissue Sarcomas: A Systematic Review and Meta-analysis
    Zhu, Nana
    Meng, Xianghong
    Wang, Zhi
    Hu, Yongcheng
    Zhao, Tingting
    Fan, Hongxing
    Niu, Feige
    Han, Jun
    ACADEMIC RADIOLOGY, 2024, 31 (10) : 3982 - 3992