Assessing Bias and Limitations of Clinical Validation Studies of Molecular Diagnostic Tests for Indeterminate Thyroid Nodules: Systematic Review and Meta-Analysis

被引:18
作者
DiGennaro, Catherine [1 ,2 ]
Vahdatzad, Vahab [1 ,2 ]
Jalali, Mohammad S. [1 ,3 ]
Toumi, Asmae [1 ,2 ]
Watson, Tina [1 ,2 ]
Gazelle, G. Scott [1 ,3 ]
Mercaldo, Nathaniel [1 ,3 ]
Lubitz, Carrie Cunningham [1 ,2 ,4 ]
机构
[1] Massachusetts Gen Hosp, Inst Technol Assessment, Boston, MA USA
[2] Massachusetts Gen Hosp, Dept Surg, Boston, MA USA
[3] Massachusetts Gen Hosp, Dept Radiol, Boston, MA USA
[4] Harvard Med Sch, Massachusetts Gen Hosp, Dept Surg, Sect Endocrine Surg, 55 Fruit St,Yawkey 7B, Boston, MA 02114 USA
关键词
bias assessment; clinical validity; diagnostic tests; meta-analysis; molecular diagnostics; oncology; systematic review; thyroid cancer; GENE-EXPRESSION CLASSIFIER; PREOPERATIVE DIAGNOSIS; SEQUENCING CLASSIFIER; VERIFICATION BIAS; AFIRMA GEC; PERFORMANCE; UTILITY; CYTOLOGY; CANCER; MANAGEMENT;
D O I
10.1089/thy.2022.0269
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Molecular tests for thyroid nodules with indeterminate fine needle aspiration results are increasingly used in clinical practice; however, true diagnostic summaries of these tests are unknown. A systematic review and meta-analysis were completed to (1) evaluate the accuracy of commercially available molecular tests for malignancy in indeterminate thyroid nodules and (2) quantify biases and limitations in studies that validate those tests.Summary: PubMed, EMBASE, and Web of Science were systematically searched through July 2021. English language articles that reported original clinical validation attempts of molecular tests for indeterminate thyroid nodules were included if they reported counts of true-negative, true-positive, false-negative, and false-positive results. We performed screening and full-text review, followed by assessment of eight common biases and limitations, extraction of diagnostic and histopathological information, and meta-analysis of clinical validity using a bivariate linear mixed-effects model. Forty-nine studies were included. Meta-analysis of Afirma Gene expression classifiers (GEC; n = 38 studies) revealed a sensitivity of 0.92 (confidence interval: 0.90-0.94), specificity of 0.26 (0.20-0.32), negative likelihood ratio (LR-) of 0.32 (0.23-0.44), positive LR+ of 1.24 (1.15-1.35), and area under the curve (AUC) of 0.83 (0.74-0.89). Afirma Genomic Sequencing Classifier (GSC; n = 10) had a sensitivity of 0.94 (0.89-0.96), specificity of 0.38 (0.27-0.50), LR- of 0.18 (0.10-0.30), LR+ of 1.52 (1.28-1.87), and AUC of 0.91 (0.62-0.92). ThyroSeq v1 and v2 (n = 10) had a sensitivity of 0.86 (0.82-0.90), specificity of 0.74 (0.59-0.85), LR- of 0.19 (0.13-0.26), LR+ of 3.52 (2.08-5.92), and AUC of 0.86 (0.81-0.90). ThyroSeq v3 (n = 6) had a sensitivity of 0.92 (0.86-0.95), specificity of 0.41 (0.18-0.69), LR- of 0.24 (0.09-0.62), LR+ of 1.67 (1.09-2.98), and AUC of 0.90 (0.63-0.92). Fourteen percent of studies conducted a blinded histopathologic review of excised thyroid nodules, and 8% made the decision to go to surgery blind to molecular test results.Conclusions: Meta-analyses reveal a high diagnostic accuracy of molecular tests for thyroid nodule assessment of malignancy risk; however, these studies are subject to several limitations. Limitations and their potential clinical impacts must be addressed and, when feasible, adjusted for using valid statistical methodologies.
引用
收藏
页码:1144 / 1157
页数:14
相关论文
共 92 条
[1]   Association of Malignancy Prevalence With Test Properties and Performance of the Gene Expression Classifier in Indeterminate Thyroid Nodules [J].
Al-Qurayshi, Zaid ;
Deniwar, Ahmed ;
Thethi, Tina ;
Mallik, Tilak ;
Srivastav, Sudesh ;
Murad, Fadi ;
Bhatia, Parisha ;
Moroz, Krzysztof ;
Sholl, Andrew B. ;
Kandil, Emad .
JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY, 2017, 143 (04) :403-408
[2]   Multicenter Clinical Experience With the Afirma Gene Expression Classifier [J].
Alexander, Erik K. ;
Schorr, Melanie ;
Klopper, Joshua ;
Kim, Caroline ;
Sipos, Jennifer ;
Nabhan, Fadi ;
Parker, Charles ;
Steward, David L. ;
Mandel, Susan J. ;
Haugen, Bryan R. .
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2014, 99 (01) :119-125
[3]   Preoperative Diagnosis of Benign Thyroid Nodules with Indeterminate Cytology [J].
Alexander, Erik K. ;
Kennedy, Giulia C. ;
Baloch, Zubair W. ;
Cibas, Edmund S. ;
Chudova, Darya ;
Diggans, James ;
Friedman, Lyssa ;
Kloos, Richard T. ;
LiVolsi, Virginia A. ;
Mandel, Susan J. ;
Raab, Stephen S. ;
Rosai, Juan ;
Steward, David L. ;
Walsh, P. Sean ;
Wilde, Jonathan I. ;
Zeiger, Martha A. ;
Lanman, Richard B. ;
Haugen, Bryan R. .
NEW ENGLAND JOURNAL OF MEDICINE, 2012, 367 (08) :705-715
[4]  
Alonzo TA, 2014, REVSTAT-STAT J, V12, P67
[5]   Independent Comparison of the Afirma Genomic Sequencing Classifier and Gene Expression Classifier for Cytologically Indeterminate Thyroid Nodules [J].
Angell, Trevor E. ;
Heller, Howard T. ;
Cibas, Edmund S. ;
Barletta, Justine A. ;
Kim, Matthew, I ;
Krane, Jeffrey F. ;
Marqusee, Ellen .
THYROID, 2019, 29 (05) :650-656
[6]   American Thyroid Association Sonographic Risk and Afirma Gene Expression Classifier Alone and in Combination for the Diagnosis of Thyroid Nodules with Bethesda Category III Cytology [J].
Arosemena, Marilyn ;
Thekkumkattil, Anu ;
Valderrama, Maria Linares ;
Kuker, Russ ;
Castillo, Rosa Patricia ;
Sidani, Charif ;
Gonzalez, Manuel Lora ;
Casula, Sabina ;
Kargi, Atil Yilmaz .
THYROID, 2020, 30 (11) :1613-1619
[7]   Shear wave elastography and Afirma™ gene expression classifier in thyroid nodules with indeterminate cytology: a comparison study [J].
Azizi, Ghobad ;
Keller, James M. ;
Mayo, Michelle L. ;
Piper, Kele ;
Puett, David ;
Earp, Karly M. ;
Malchoff, Carl D. .
ENDOCRINE, 2018, 59 (03) :573-584
[8]   Qualifiers of Atypia in the Cytologic Diagnosis of Thyroid Nodules Are Associated With Different Afirma Gene Expression Classifier Results and Clinical Outcomes [J].
Baca, Sylvan C. ;
Wong, Kristine S. ;
Strickland, Kyle C. ;
Heller, Howard T. ;
Kim, Matthew I. ;
Barletta, Justine A. ;
Cibas, Edmund S. ;
Krane, Jeffrey F. ;
Marqusee, Ellen ;
Angell, Trevor E. .
CANCER CYTOPATHOLOGY, 2017, 125 (05) :313-322
[9]   Evaluation of 167 Gene Expression Classifier (GEC) and ThyroSeq v2 Diagnostic Accuracy in the Preoperative Assessment of Indeterminate Thyroid Nodules: Bivariate/HROC Meta-analysis [J].
Borowczyk, Martyna ;
Szczepanek-Parulska, Ewelina ;
Olejarz, Michal ;
Wieckowska, Barbara ;
Verburg, Frederik A. ;
Debicki, Szymon ;
Budny, Bartlomiej ;
Janicka-Jedynska, Malgorzata ;
Ziemnicka, Katarzyna ;
Ruchala, Marek .
ENDOCRINE PATHOLOGY, 2019, 30 (01) :8-15
[10]   Performance of the Afirma Gene Expression Classifier in Hurthle Cell Thyroid Nodules Differs from Other Indeterminate Thyroid Nodules [J].
Brauner, Eran ;
Holmes, Brittany J. ;
Krane, Jeffrey F. ;
Nishino, Michiya ;
Zurakowski, David ;
Hennessey, James V. ;
Faquin, William C. ;
Parangi, Sareh .
THYROID, 2015, 25 (07) :789-796