{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T04:03:37Z","timestamp":1792728217441,"version":"4.5.0"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T00:00:00Z","timestamp":1692835200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T00:00:00Z","timestamp":1692835200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-023-10155-8","type":"journal-article","created":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T08:02:36Z","timestamp":1692864156000},"page":"930-942","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Diagnostic performance of MRI for assessing axillary lymph node status after neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis"],"prefix":"10.1007","volume":"34","author":[{"given":"Zhifan","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinqin","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ya","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengmeng","family":"Qu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinkui","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junqiang","family":"Lei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,8,24]]},"reference":[{"key":"10155_CR1","doi-asserted-by":"crossref","first-page":"1485","DOI":"10.1200\/JCO.20.03399","volume":"39","author":"LA Korde","year":"2021","unstructured":"Korde LA, Somerfield MR, Carey LA et al (2021) Neoadjuvant chemotherapy, endocrine therapy, and targeted therapy for breast cancer: ASCO guideline. J Clin Oncol 39:1485\u20131505","journal-title":"J Clin Oncol"},{"key":"10155_CR2","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.1200\/JCO.2002.20.5.1304","volume":"20","author":"R Rouzier","year":"2002","unstructured":"Rouzier R, Extra JM, Klijanienko J et al (2002) Incidence and prognostic significance of complete axillary downstaging after primary chemotherapy in breast cancer patients with T1 to T3 tumors and cytologically proven axillary metastatic lymph nodes. J Clin Oncol 20:1304\u20131310","journal-title":"J Clin Oncol"},{"key":"10155_CR3","doi-asserted-by":"crossref","first-page":"3960","DOI":"10.1200\/JCO.2011.40.8369","volume":"30","author":"EP Mamounas","year":"2012","unstructured":"Mamounas EP, Anderson SJ, Dignam JJ et al (2012) Predictors of locoregional recurrence after neoadjuvant chemotherapy: results from combined analysis of National Surgical Adjuvant Breast and Bowel Project B-18 and B-27. J Clin Oncol 30:3960\u20133966","journal-title":"J Clin Oncol"},{"key":"10155_CR4","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1038\/bjc.1992.230","volume":"66","author":"D Ivens","year":"1992","unstructured":"Ivens D, Hoe AL, Podd TJ, Hamilton CR, Taylor I, Royle GT (1992) Assessment of morbidity from complete axillary dissection. Br J Cancer 66:136\u2013138","journal-title":"Br J Cancer"},{"key":"10155_CR5","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1148\/radiol.2463061463","volume":"246","author":"SL Koelliker","year":"2008","unstructured":"Koelliker SL, Chung MA, Mainiero MB, Steinhoff MM, Cady B (2008) Axillary lymph nodes: US-guided fine-needle aspiration for initial staging of breast cancer\u2013correlation with primary tumor size. Radiology 246:81\u201389","journal-title":"Radiology"},{"key":"10155_CR6","doi-asserted-by":"crossref","first-page":"1864","DOI":"10.1016\/S0140-6736(97)01004-0","volume":"349","author":"U Veronesi","year":"1997","unstructured":"Veronesi U, Paganelli G, Galimberti V et al (1997) Sentinel-node biopsy to avoid axillary dissection in breast cancer with clinically negative lymph-nodes. Lancet 349:1864\u20131867","journal-title":"Lancet"},{"key":"10155_CR7","doi-asserted-by":"crossref","first-page":"1416","DOI":"10.1245\/s10434-015-4403-9","volume":"22","author":"V Dialani","year":"2015","unstructured":"Dialani V, Chadashvili T, Slanetz PJ (2015) Role of imaging in neoadjuvant therapy for breast cancer. Ann Surg Oncol 22:1416\u20131424","journal-title":"Ann Surg Oncol"},{"key":"10155_CR8","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1148\/radiol.12111177","volume":"263","author":"U Tateishi","year":"2012","unstructured":"Tateishi U, Miyake M, Nagaoka T et al (2012) Neoadjuvant chemotherapy in breast cancer: prediction of pathologic response with PET\/CT and dynamic contrast-enhanced MR imaging\u2013prospective assessment. Radiology 263:53\u201363","journal-title":"Radiology"},{"key":"10155_CR9","doi-asserted-by":"crossref","first-page":"1392","DOI":"10.1002\/jmri.28399","volume":"57","author":"Z Li","year":"2023","unstructured":"Li Z, Gao Y, Gong H et al (2023) Different imaging modalities for the diagnosis of axillary lymph node metastases in breast cancer: a systematic review and network meta-analysis of diagnostic test accuracy. J Magn Reson Imaging 57:1392\u20131403","journal-title":"J Magn Reson Imaging"},{"key":"10155_CR10","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1097\/SLA.0000000000004356","volume":"273","author":"S Samiei","year":"2021","unstructured":"Samiei S, de Mooij CM, Lobbes MBI, Keymeulen K, van Nijnatten TJA, Smidt ML (2021) Diagnostic performance of noninvasive imaging for assessment of axillary response after neoadjuvant systemic therapy in clinically node-positive breast cancer: a systematic review and meta-analysis. Ann Surg 273:694\u2013700","journal-title":"Ann Surg"},{"key":"10155_CR11","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1001\/jama.2017.19163","volume":"319","author":"MDF McInnes","year":"2018","unstructured":"McInnes MDF, Moher D, Thombs BD et al (2018) Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies: the PRISMA-DTA statement. JAMA 319:388\u2013396","journal-title":"JAMA"},{"key":"10155_CR12","doi-asserted-by":"crossref","first-page":"529","DOI":"10.7326\/0003-4819-155-8-201110180-00009","volume":"155","author":"PF Whiting","year":"2011","unstructured":"Whiting PF, Rutjes AW, Westwood ME et al (2011) QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155:529\u2013536","journal-title":"Ann Intern Med"},{"key":"10155_CR13","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/s41523-021-00233-9","volume":"7","author":"MK Abel","year":"2021","unstructured":"Abel MK, Greenwood H, Kelil T et al (2021) Accuracy of breast MRI in evaluating nodal status after neoadjuvant therapy in invasive lobular carcinoma. NPJ Breast Cancer 7:25","journal-title":"NPJ Breast Cancer"},{"key":"10155_CR14","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1016\/j.ejso.2016.02.005","volume":"42","author":"MA Beek","year":"2016","unstructured":"Beek MA, Tetteroo E, Luiten EJ et al (2016) Clinical impact of breast MRI with regard to axillary reverse mapping in clinically node positive breast cancer patients following neo-adjuvant chemotherapy. Eur J Surg Oncol 42:672\u2013678","journal-title":"Eur J Surg Oncol"},{"key":"10155_CR15","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1016\/j.jss.2020.07.025","volume":"257","author":"CS Cortina","year":"2021","unstructured":"Cortina CS, Gottschalk N, Kulkarni SA, Karst I (2021) Is breast magnetic resonance imaging an accurate predictor of nodal status after neoadjuvant chemotherapy? J Surg Res 257:412\u2013418","journal-title":"J Surg Res"},{"key":"10155_CR16","doi-asserted-by":"crossref","first-page":"1460","DOI":"10.1007\/s00330-019-06539-4","volume":"30","author":"NL Eun","year":"2020","unstructured":"Eun NL, Son EJ, Gweon HM, Kim JA, Youk JH (2020) Prediction of axillary response by monitoring with ultrasound and MRI during and after neoadjuvant chemotherapy in breast cancer patients. Eur Radiol 30:1460\u20131469","journal-title":"Eur Radiol"},{"key":"10155_CR17","doi-asserted-by":"crossref","first-page":"20210511","DOI":"10.1259\/bjr.20210511","volume":"95","author":"L Gra\u00f1a-L\u00f3pez","year":"2022","unstructured":"Gra\u00f1a-L\u00f3pez L, P\u00e9rez-Ramos T, Maci\u00f1eira FA, Villares \u00c1, V\u00e1zquez-Caruncho M (2022) Predicting axillary response to neoadjuvant chemotherapy: the role of diffusion weighted imaging. Br J Radiol 95:20210511","journal-title":"Br J Radiol"},{"key":"10155_CR18","doi-asserted-by":"crossref","first-page":"1198","DOI":"10.1177\/0284185117690421","volume":"58","author":"SM Ha","year":"2017","unstructured":"Ha SM, Cha JH, Kim HH, Shin HJ, Chae EY, Choi WJ (2017) Diagnostic performance of breast ultrasonography and MRI in the prediction of lymph node status after neoadjuvant chemotherapy for breast cancer. Acta Radiol 58:1198\u20131205","journal-title":"Acta Radiol"},{"key":"10155_CR19","doi-asserted-by":"crossref","first-page":"3199","DOI":"10.1245\/s10434-013-3118-z","volume":"20","author":"TJ Hieken","year":"2013","unstructured":"Hieken TJ, Boughey JC, Jones KN, Shah SS, Glazebrook KN (2013) Imaging response and residual metastatic axillary lymph node disease after neoadjuvant chemotherapy for primary breast cancer. Ann Surg Oncol 20:3199\u20133204","journal-title":"Ann Surg Oncol"},{"key":"10155_CR20","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1001\/archsurg.142.9.855","volume":"142","author":"DJ Hsiang","year":"2007","unstructured":"Hsiang DJ, Yatnamoto M, McHta RS et al (2007) Predicting nodal status using dynamic contrast-enhanced magnetic resonance imaging in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy with and without sequential trastuzumab. Arch Surg 142:855\u2013860","journal-title":"Arch Surg"},{"key":"10155_CR21","doi-asserted-by":"crossref","first-page":"3865","DOI":"10.1007\/s00330-016-4235-4","volume":"26","author":"SJ Hyun","year":"2016","unstructured":"Hyun SJ, Kim EK, Moon HJ, Yoon JH, Kim MJ (2016) Preoperative axillary lymph node evaluation in breast cancer patients by breast magnetic resonance imaging (MRI): can breast MRI exclude advanced nodal disease? Eur Radiol 26:3865\u20133873","journal-title":"Eur Radiol"},{"key":"10155_CR22","doi-asserted-by":"crossref","first-page":"741","DOI":"10.4149\/neo_2022_220127N122","volume":"69","author":"Y \u0130r\u0130a\u01e7a\u00e7","year":"2022","unstructured":"\u0130r\u0130a\u01e7a\u00e7 Y, Karaboyun K, \u00c7avdar E et al (2022) The diagnostic contribution of magnetic resonance imaging in the detection of axillary metastasis after neoadjuvant chemotherapy. Neoplasma 69:741\u2013746","journal-title":"Neoplasma"},{"key":"10155_CR23","doi-asserted-by":"crossref","first-page":"1841","DOI":"10.1245\/s10434-010-0934-2","volume":"17","author":"S Javid","year":"2010","unstructured":"Javid S, Segara D, Lotfi P, Raza S, Golshan M (2010) Can breast MRI predict axillary lymph node metastasis in women undergoing neoadjuvant chemotherapy. Ann Surg Oncol 17:1841\u20131846","journal-title":"Ann Surg Oncol"},{"key":"10155_CR24","doi-asserted-by":"crossref","first-page":"394","DOI":"10.4048\/jbc.2015.18.4.394","volume":"18","author":"TH Kim","year":"2015","unstructured":"Kim TH, Kang DK, Kim JY, Han S, Jung Y (2015) Histologic grade and decrease in tumor dimensions affect axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients. J Breast Cancer 18:394\u2013399","journal-title":"J Breast Cancer"},{"key":"10155_CR25","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.clbc.2016.11.004","volume":"17","author":"AE Mattingly","year":"2017","unstructured":"Mattingly AE, Mooney B, Lin HY et al (2017) Magnetic resonance imaging for axillary breast cancer metastasis in the neoadjuvant setting: a prospective study. Clin Breast Cancer 17:180\u2013187","journal-title":"Clin Breast Cancer"},{"key":"10155_CR26","doi-asserted-by":"crossref","first-page":"4238","DOI":"10.1245\/s10434-019-07867-x","volume":"26","author":"TA Moo","year":"2019","unstructured":"Moo TA, Jochelson MS, Zabor EC et al (2019) Is clinical exam of the axilla sufficient to select node-positive patients who downstage after NAC for SLNB? A comparison of the accuracy of clinical exam versus MRI. Ann Surg Oncol 26:4238\u20134243","journal-title":"Ann Surg Oncol"},{"key":"10155_CR27","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.1111\/tbj.14065","volume":"26","author":"LC Murphy","year":"2020","unstructured":"Murphy LC, Quinn EM, Razzaq Z et al (2020) Assessing the accuracy of conventional gadolinium-enhanced breast MRI in measuring the nodal response to neoadjuvant chemotherapy (NAC) in breast cancer. Breast J 26:2151\u20132156","journal-title":"Breast J"},{"key":"10155_CR28","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1186\/s43055-022-00743-x","volume":"53","author":"A Sobhi","year":"2022","unstructured":"Sobhi A, TalaatHamed S, Hussein ES, Lasheen S, Hussein M, Ebrahim Y (2022) Predicting pathological response of locally advanced breast cancer to neoadjuvant chemotherapy: comparing the performance of whole body 18F-FDG PETCT versus DCE-MRI of the breast. Egypt J Radiol Nucl Med 53:79","journal-title":"Egypt J Radiol Nucl Med"},{"key":"10155_CR29","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.jss.2016.04.048","volume":"204","author":"J Steiman","year":"2016","unstructured":"Steiman J, Soran A, McAuliffe P et al (2016) Predictive value of axillary nodal imaging by magnetic resonance imaging based on breast cancer subtype after neoadjuvant chemotherapy. J Surg Res 204:237\u2013241","journal-title":"J Surg Res"},{"key":"10155_CR30","doi-asserted-by":"crossref","first-page":"2361","DOI":"10.3390\/diagnostics11122361","volume":"11","author":"U Turan","year":"2021","unstructured":"Turan U, Aygun M, Duman BB et al (2021) Efficacy of US, MRI, and F-18 FDG-PET\/CT for detecting axillary lymph node metastasis after neoadjuvant chemotherapy in breast cancer patients. Diagnostics 11:2361","journal-title":"Diagnostics"},{"key":"10155_CR31","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1016\/j.jamcollsurg.2017.08.027","volume":"225","author":"JJ Weber","year":"2017","unstructured":"Weber JJ, Jochelson MS, Eaton A et al (2017) MRI and prediction of pathologic complete response in the breast and axilla after neoadjuvant chemotherapy for breast cancer. J Am Coll Surg 225:740\u2013746","journal-title":"J Am Coll Surg"},{"key":"10155_CR32","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.ejso.2020.08.023","volume":"47","author":"J Woo","year":"2021","unstructured":"Woo J, Ryu JM, Jung SM et al (2021) Breast radiologic complete response is associated with favorable survival outcomes after neoadjuvant chemotherapy in breast cancer. Eur J Surg Oncol 47:232\u2013239","journal-title":"Eur J Surg Oncol"},{"key":"10155_CR33","first-page":"9","volume":"88","author":"S You","year":"2015","unstructured":"You S, Kang DK, Jung YS, An YS, Jeon GS, Kim TH (2015) Evaluation of lymph node status after neoadjuvant chemotherapy in breast cancer patients: comparison of diagnostic performance of ultrasound, MRI and F-18-FDG PET\/CT. Br J Radiol 88:20150143","journal-title":"Br J Radiol"},{"key":"10155_CR34","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.crad.2016.12.001","volume":"72","author":"X Liang","year":"2017","unstructured":"Liang X, Yu J, Wen B, Xie J, Cai Q, Yang Q (2017) MRI and FDG-PET\/CT based assessment of axillary lymph node metastasis in early breast cancer: a meta-analysis. Clin Radiol 72:295\u2013301","journal-title":"Clin Radiol"},{"key":"10155_CR35","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1111\/1759-7714.12774","volume":"9","author":"P Zhou","year":"2018","unstructured":"Zhou P, Wei Y, Chen G, Guo L, Yan D, Wang Y (2018) Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: a meta-analysis. Thorac Cancer 9:989\u2013996","journal-title":"Thorac Cancer"},{"key":"10155_CR36","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.tranon.2015.11.016","volume":"9","author":"A Tudorica","year":"2016","unstructured":"Tudorica A, Oh KY, Chui SY et al (2016) Early prediction and evaluation of breast cancer response to neoadjuvant chemotherapy using quantitative DCE-MRI. Transl Oncol 9:8\u201317","journal-title":"Transl Oncol"},{"key":"10155_CR37","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1038\/nrclinonc.2012.2","volume":"9","author":"JP O'Connor","year":"2012","unstructured":"O\u2019Connor JP, Jackson A, Parker GJ, Roberts C, Jayson GC (2012) Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies. Nat Rev Clin Oncol 9:167\u2013177","journal-title":"Nat Rev Clin Oncol"},{"key":"10155_CR38","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1007\/s00330-012-2446-x","volume":"22","author":"MO Leach","year":"2012","unstructured":"Leach MO, Morgan B, Tofts PS et al (2012) Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging. Eur Radiol 22:1451\u20131464","journal-title":"Eur Radiol"},{"key":"10155_CR39","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1148\/radiol.10091760","volume":"256","author":"AR Padhani","year":"2010","unstructured":"Padhani AR, Miles KA (2010) Multiparametric imaging of tumor response to therapy. Radiology 256:348\u2013364","journal-title":"Radiology"},{"key":"10155_CR40","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1007\/s00330-002-1730-6","volume":"13","author":"K Wasser","year":"2003","unstructured":"Wasser K, Sinn HP, Fink C et al (2003) Accuracy of tumor size measurement in breast cancer using MRI is influenced by histological regression induced by neoadjuvant chemotherapy. Eur Radiol 13:1213\u20131223","journal-title":"Eur Radiol"},{"key":"10155_CR41","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.ejrad.2014.09.020","volume":"84","author":"RJ Schipper","year":"2015","unstructured":"Schipper RJ, Moossdorff M, Beets-Tan RGH, Smidt ML, Lobbes MBI (2015) Noninvasive nodal restaging in clinically node positive breast cancer patients after neoadjuvant systemic therapy: a systematic review. Eur J Radiol 84:41\u201347","journal-title":"Eur J Radiol"},{"key":"10155_CR42","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1038\/s41568-018-0016-5","volume":"18","author":"A Hosny","year":"2018","unstructured":"Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts H (2018) Artificial intelligence in radiology. Nat Rev Cancer 18:500\u2013510","journal-title":"Nat Rev Cancer"},{"key":"10155_CR43","doi-asserted-by":"crossref","first-page":"786346","DOI":"10.3389\/fonc.2021.786346","volume":"11","author":"L Gan","year":"2021","unstructured":"Gan L, Ma M, Liu Y et al (2021) A clinical-radiomics model for predicting axillary pathologic complete response in breast cancer with axillary lymph node metastases. Front Oncol 11:786346","journal-title":"Front Oncol"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-023-10155-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-023-10155-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-023-10155-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T11:11:49Z","timestamp":1707390709000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-023-10155-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,24]]},"references-count":43,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["10155"],"URL":"https:\/\/doi.org\/10.1007\/s00330-023-10155-8","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,24]]},"assertion":[{"value":"14 December 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 June 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The scientific guarantor of this publication is Junqiang Lei.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"No complex statistical methods were necessary for this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was not required for this study because it is a meta-analysis","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Institutional Review Board approval was not required because this study is a meta-analysis.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"This study is a systematic review and meta-analysis.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"value":"\u2022 not applicable\u2022 diagnostic or prognostic study\u2022 performed at one institution","order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}