{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T15:14:50Z","timestamp":1784214890518,"version":"3.55.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"University of Kocaeli"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Clin Rheumatol"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Introduction<\/jats:title>\n            <jats:p>Rheumatoid arthritis-associated interstitial lung disease (RA-ILD) presents with variable severity and progression, highlighting the need for effective tools to identify patients at risk. Although CT imaging plays a vital role in the management of RA-ILD, there is a lack of objective methods to predict disease progression. This study investigates the association between semi-quantitative and quantitative CT scoring methods and disease progression in early-stage RA-ILD.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>This observational study analyzed baseline and the first technically evaluable follow-up CT scans of patients who met the 2010 ACR\/EULAR classification criteria for RA and were diagnosed with ILD. Only patients with\u2009\u2264\u20095\u00a0years between baseline and follow-up scans were included. Semi-quantitative assessments were conducted using the Goh and Warrick scoring systems, while quantitative analyses utilized Vitrea software to measure mean lung attenuation (MLA) and low-, medium-, and high-density lung volumes. Progression risk factors were evaluated using binary logistic regression, with progression defined by changes in CT parameters over time.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>A total of 77 RA-ILD patients (45 females, 32 males) were included, with a median follow-up period of 20\u00a0months (interquartile range: 7.4\u201346\u00a0months). Disease progression was observed in 34 patients (44.2%). Baseline medium-density volume (MDV), follow-up mean lung attenuation (MLA), and low-density volume (LDV) differed significantly between the progression and non-progression groups (p\u2009&lt;\u20090.05). Quantitative CT parameters demonstrated strong correlations with both the Goh and Warrick scoring systems. Binary logistic regression analysis identified the usual interstitial pneumonia (UIP) pattern on baseline imaging as the only independent predictor of disease progression (odds ratio: 3.1; 95% confidence interval: 1.1\u201312.4).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>In this study of early-stage RA-ILD patients, only the usual interstitial pneumonia (UIP) pattern on baseline HRCT independently predicted disease progression. Neither semi-quantitative scores nor quantitative CT parameters were predictive of progression. However, quantitative CT metrics demonstrated strong correlations with traditional scoring systems, supporting their utility in objectively assessing disease extent.<\/jats:p>\n            <jats:table-wrap>\n              <jats:table>\n                <jats:tbody>\n                  <jats:tr>\n                    <jats:td align=\"left\" colspan=\"2\">\n                      <jats:bold>Key Points<\/jats:bold>\u2022 <jats:italic>Quantitative CT analysis offers a standardized and objective tool to evaluate fibrosis extent, supporting early detection and monitoring in RA-ILD management.\u00a0<\/jats:italic>\u2022 <jats:italic>Quantitative CT parameters demonstrated significant correlations with semi-quantitative scoring methods (Goh and Warrick) in assessing disease extent in RA-ILD.<\/jats:italic>\u2022 <jats:italic>Although semi-quantitative and quantitative methods showed limited ability to predict ILD progression in early-stage RA-ILD, they demonstrate potential for further refinement.<\/jats:italic>\n                    <\/jats:td>\n                  <\/jats:tr>\n                <\/jats:tbody>\n              <\/jats:table>\n            <\/jats:table-wrap>\n          <\/jats:sec>","DOI":"10.1007\/s10067-025-07443-7","type":"journal-article","created":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T02:21:48Z","timestamp":1747275708000},"page":"2213-2223","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The potential of semi-quantitative and quantitative methods in predicting progression in rheumatoid arthritis-associated interstitial lung disease"],"prefix":"10.1007","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5891-2032","authenticated-orcid":false,"given":"Duygu","family":"Temiz Karadag","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sevtap","family":"Dogan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ozgur","family":"Cakir","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yusuf","family":"Alt\u0131ntas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seyma","family":"Yilmaz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neslihan","family":"G\u00f6kcen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ayten","family":"Yazici","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ayse","family":"Cefle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,15]]},"reference":[{"key":"7443_CR1","doi-asserted-by":"crossref","unstructured":"Song YJ, Kim H, Cho SK, Kim HW, Lim C, Nam E et al (2024) Risk factors of mortality in patients with rheumatoid arthritis-associated interstitial lung disease: a single-centre prospective cohort study. Arthritis Res Ther 26(1). Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/39030584\/. Accessed 6 Oct 2024\u00a0","DOI":"10.1186\/s13075-024-03362-1"},{"key":"7443_CR2","doi-asserted-by":"crossref","unstructured":"Samhouri BF, Vassallo R, Achenbach SJ, Kronzer VL, Davis JM, Myasoedova E et al (2022) Incidence, risk factors, and mortality of clinical and subclinical rheumatoid arthritis-associated interstitial lung disease: a population-based cohort. Arthritis Care Res (Hoboken) 74(12):2042\u20132049. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/34995017\/. Accessed 6 Oct 2024","DOI":"10.1002\/acr.24856"},{"key":"7443_CR3","doi-asserted-by":"crossref","unstructured":"Duarte AC, Porter JC, Leandro MJ (2019) The lung in a cohort of rheumatoid arthritis patients-an overview of different types of involvement and treatment. Rheumatology (Oxford) 58(11):2031\u20132038. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/31089697\/.\u00a0Accessed 6 Oct 2024","DOI":"10.1093\/rheumatology\/kez177"},{"key":"7443_CR4","doi-asserted-by":"crossref","unstructured":"Hyldgaard C, Hilberg O, Pedersen AB, Ulrichsen SP, L\u00f8kke A, Bendstrup E et al (2017) A population-based cohort study of rheumatoid arthritis-associated interstitial lung disease: comorbidity and mortality. Ann Rheum Dis 76(10):1700\u20131706. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/28611082\/.\u00a0Accessed 6 Oct 2024","DOI":"10.1136\/annrheumdis-2017-211138"},{"key":"7443_CR5","doi-asserted-by":"crossref","unstructured":"Matteson EL, Bendstrup E, Strek ME, Dieud\u00e9 P (2024) Clinical course of interstitial lung disease in patients with rheumatoid arthritis. ACR Open Rheumatol. Available from: https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/acr2.11736.\u00a0Accessed 6 Oct 2024","DOI":"10.1002\/acr2.11736"},{"key":"7443_CR6","doi-asserted-by":"crossref","unstructured":"Kawano-Dourado L, Doyle TJ, Bonfiglioli K, Sawamura MVY, Nakagawa RH, Arimura FE et al (2020) Baseline characteristics and progression of a spectrum of interstitial lung abnormalities and disease in rheumatoid arthritis. Chest 158(4):1546\u20131554. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/32428513\/.\u00a0Accessed 6 Oct 2024","DOI":"10.1016\/j.chest.2020.04.061"},{"key":"7443_CR7","doi-asserted-by":"crossref","unstructured":"Chang SH, Lee JS, Ha YJ, Kim MU, Park CH, Lee JS et al (2023) Lung function trajectory of rheumatoid arthritis-associated interstitial lung disease. Rheumatology (Oxford) 62(9):3014\u20133024. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/36702465\/.\u00a0Accessed 6 Oct 2024","DOI":"10.1093\/rheumatology\/kead027"},{"key":"7443_CR8","doi-asserted-by":"publisher","unstructured":"Dawson JK, Fewins HE, Desmond J, Lynch MP, Graham DR (2002) Predictors of progression of HRCT diagnosed fibrosing alveolitis in patients with rheumatoid arthritis. Ann Rheum Dis 61(6):517\u2013521. https:\/\/doi.org\/10.1136\/ard.61.6.517","DOI":"10.1136\/ard.61.6.517"},{"key":"7443_CR9","doi-asserted-by":"crossref","unstructured":"Groseanu L, Ni\u021b\u0103 C (2024) A systematic review of the key predictors of progression and mortality of rheumatoid arthritis-associated interstitial lung disease. Diagnostics (Basel) 14(17). Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/39272673\/.\u00a0Accessed 24 Nov 2024","DOI":"10.3390\/diagnostics14171890"},{"key":"7443_CR10","unstructured":"Raghu G, Remy-Jardin M, Myers JL, Richeldi L, Ryerson CJ, Lederer DJ et al (2018) Diagnosis of idiopathic pulmonary fibrosis. An Official ATS\/ERS\/JRS\/ALAT Clinical Practice Guideline.\u00a0Am J Respir Crit Care Med\u00a0198(5):e44\u201368. Available from: http:\/\/www.atsjournals.org\/doi\/suppl\/10.1164\/rccm201807-1255ST.\u00a0Accessed 24 Nov 2024"},{"key":"7443_CR11","doi-asserted-by":"crossref","unstructured":"Jacob J, Bartholmai BJ, Rajagopalan S, Brun AL, Egashira R, Karwoski R et al (2016) Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study. BMC Med 14(1). Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/27876024\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1186\/s12916-016-0739-7"},{"key":"7443_CR12","doi-asserted-by":"crossref","unstructured":"Crews MS, Bartholmai BJ, Adegunsoye A, Oldham JM, Montner SM, Karwoski RA et al (2020) Automated CT analysis of major forms of interstitial lung disease. J Clin Med 9(11):1\u201311. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/33238466\/.\u00a0Accessed 24 Nov 2024","DOI":"10.3390\/jcm9113776"},{"key":"7443_CR13","doi-asserted-by":"crossref","unstructured":"Bilgici A, Ulusoy H, Kuru O, \u00c7elenk \u00c7, \u00dcnsal M, Danaci M (2005) Pulmonary involvement in rheumatoid arthritis. Rheumatol Int 25(6):429\u2013435. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/16133582\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1007\/s00296-004-0472-y"},{"key":"7443_CR14","doi-asserted-by":"crossref","unstructured":"Makol A, Nagaraja V, Amadi C, Pugashetti JV, Caoili E, Khanna D (2023) Recent innovations in the screening and diagnosis of systemic sclerosis-associated interstitial lung disease. Expert Rev Clin Immunol 19(6):613\u2013626. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/36999788\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1080\/1744666X.2023.2198212"},{"key":"7443_CR15","doi-asserted-by":"crossref","unstructured":"Pauling JD (2018) The challenge of establishing treatment efficacy for cutaneous vascular manifestations of systemic sclerosis. Expert Rev Clin Immunol 14(5):431\u2013442. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/29641934\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1080\/1744666X.2018.1464390"},{"key":"7443_CR16","doi-asserted-by":"crossref","unstructured":"Salaffi F, Carotti M, Bosello S, Ciapetti A, Gutierrez M, Bichisecchi E et al (2015) Computer-aided quantification of interstitial lung disease from high resolution computed tomography images in systemic sclerosis: correlation with visual reader-based score and physiologic tests. Biomed Res Int 2015. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/25629053\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1155\/2015\/834262"},{"key":"7443_CR17","doi-asserted-by":"crossref","unstructured":"Ungprasert P, Wilton KM, Ernste FC, Kalra S, Crowson CS, Rajagopalan S et al (2017) Novel assessment of interstitial lung disease using the \u201cComputer-Aided Lung Informatics for Pathology Evaluation and Rating\u201d (CALIPER) software system in idiopathic inflammatory myopathies. Lung 195(5):545\u2013552. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/28688028\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1007\/s00408-017-0035-0"},{"key":"7443_CR18","doi-asserted-by":"crossref","unstructured":"Ufuk F, Demirci M, Altinisik G (2020) Quantitative computed tomography assessment for systemic sclerosis-related interstitial lung disease: comparison of different methods. Eur Radiol 30(8):4369\u20134380. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/32193641\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1007\/s00330-020-06772-2"},{"key":"7443_CR19","doi-asserted-by":"crossref","unstructured":"Camiciottoli G, Orlandi I, Bartolucci M, Meoni E, Nacci F, Diciotti S et al (2007) Lung CT densitometry in systemic sclerosis: correlation with lung function, exercise testing, and quality of life. Chest 131(3):672\u2013681. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/17356079\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1378\/chest.06-1401"},{"key":"7443_CR20","doi-asserted-by":"crossref","unstructured":"Podolanczuk AJ, Oelsner EC, Barr RG, Hoffman EA, Armstrong HF, Austin JHM et al (2016) High attenuation areas on chest computed tomography in community-dwelling adults: the MESA study. Eur Respir J 48(5):1442\u20131452. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/27471206\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1183\/13993003.00129-2016"},{"key":"7443_CR21","doi-asserted-by":"crossref","unstructured":"Aletaha D, Neogi T, Silman AJ, Funovits J, Felson DT, Bingham CO et al (2010) Rheumatoid arthritis classification criteria: an American college of rheumatology\/European league against rheumatism collaborative initiative. Arthritis Rheum 62(9):2569\u20132581. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/20872595\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1002\/art.27584"},{"key":"7443_CR22","doi-asserted-by":"crossref","unstructured":"Raghu G, Remy-Jardin M, Richeldi L, Thomson CC, Antoniou KM, Bissell BD et al (2022) Idiopathic pulmonary fibrosis (an Update) and progressive pulmonary fibrosis in adults: an official ATS\/ERS\/JRS\/ALAT clinical practice guideline. Am J Respir Crit Care Med 205(9):E18\u201347. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/35486072\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1164\/rccm.202202-0399ST"},{"key":"7443_CR23","unstructured":"Raghu G, Remy-Jardin M, Myers JL, Richeldi L, Ryerson CJ, Lederer DJ et al (2018) Diagnosis of idiopathic pulmonary fibrosis. An official ATS\/ERS\/JRS\/ALAT clinical practice guideline. Am J Respir Crit Care Med 198(5):e44\u201368. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/30168753\/.\u00a0Accessed 24 Nov 2024"},{"key":"7443_CR24","unstructured":"NS G, SR D, S V, DM H, SJ C, TM M et al (2008) Interstitial lung disease in systemic sclerosis: a simple staging system. Am J Respir Crit Care Med 177(11):57\u201359. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/18369202\/.\u00a0Accessed 24 Nov 2024"},{"key":"7443_CR25","doi-asserted-by":"crossref","unstructured":"Bellia M, Cannizzaro F, Scichilone N, Riili M, Triolo G, Midiri M et al (2009) HRCT and scleroderma: semiquantitative evaluation of lung damage and functional abnormalities. Radiol Med 114(2):190\u2013203. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/19266260\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1007\/s11547-009-0367-9"},{"key":"7443_CR26","doi-asserted-by":"crossref","unstructured":"Shin KE, Chung MJ, Jung MP, Choe BK, Lee KS (2011) Quantitative computed tomographic indexes in diffuse interstitial lung disease: correlation with physiologic tests and computed tomography visual scores. J Comput Assist Tomogr 35(2):266\u2013271. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/21412102\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1097\/RCT.0b013e31820ccf18"},{"key":"7443_CR27","unstructured":"NS G, SR D, S V, DM H, SJ C, TM M et al (2008) Interstitial lung disease in systemic sclerosis: a simple staging system. Am J Respir Crit Care Med 177(11):57\u201359. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/18369202\/.\u00a0Accessed 24 Nov 2024"},{"key":"7443_CR28","doi-asserted-by":"crossref","unstructured":"Aziz ZA, Wells AU, Hansell DM, Bain GA, Copley SJ, Desai SR et al (2004) HRCT diagnosis of diffuse parenchymal lung disease: inter-observer variation. Thorax 59(6):506\u201311. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/15170034\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1136\/thx.2003.020396"},{"key":"7443_CR29","doi-asserted-by":"crossref","unstructured":"Kim HJ, Brown MS, Elashoff R, Li G, Gjertson DW, Lynch DA et al (2011) Quantitative texture-based assessment of one-year changes in fibrotic reticular patterns on HRCT in scleroderma lung disease treated with oral cyclophosphamide. Eur Radiol 21(12):2455\u20132465. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/21927793\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1007\/s00330-011-2223-2"},{"key":"7443_CR30","unstructured":"Kim HJ, Tashkin DP, Clements P, Li G, Brown MS, Elashoff R et al (2010) A computer-aided diagnosis system for quantitative scoring of extent of lung fibrosis in scleroderma patients. Clin Exp Rheumatol 28(5 Suppl 62):S26. Available from: https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC3177564\/.\u00a0Accessed 24 Nov 2024"},{"key":"7443_CR31","doi-asserted-by":"crossref","unstructured":"Oh JH, Kim GHJ, Cross G, Barnett J, Jacob J, Hong S et al (2022) Automated quantification system predicts survival in rheumatoid arthritis-associated interstitial lung disease. Rheumatology (Oxford) 61(12):4702\u20134710. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/35302602\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1093\/rheumatology\/keac184"},{"key":"7443_CR32","doi-asserted-by":"crossref","unstructured":"Kim GHJ, Shi Y, Yu W, Wong WK (2021) A study design for statistical learning technique to predict radiological progression with an application of idiopathic pulmonary fibrosis using chest CT images. Contemp Clin Trials 104. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/33753286\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1016\/j.cct.2021.106333"},{"key":"7443_CR33","unstructured":"Humphries SM, Adegunsoye A, Demoruelle MK, Wei Kam ML, Amigues I, Bang TJ et al (2024) Quantitative computed tomography analysis in rheumatoid arthritis-related interstitial lung disease. Chest. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/39528110\/.\u00a0Accessed 24 Nov 2024"},{"key":"7443_CR34","doi-asserted-by":"crossref","unstructured":"Lee JS, Kim GHJ, Ha YJ, Kang EH, Lee YJ, Goldin JG et al (2021) The extent and diverse trajectories of longitudinal changes in rheumatoid arthritis interstitial lung diseases using quantitative HRCT scores. J Clin Med 10(17). Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/34501260\/.\u00a0Accessed 24 Nov 2024","DOI":"10.3390\/jcm10173812"},{"key":"7443_CR35","doi-asserted-by":"crossref","unstructured":"van Royen FS, Moll SA, van Laar JM, van Montfrans JM, de Jong PA, Mohamed Hoesein FAA (2019) Automated CT quantification methods for the assessment of interstitial lung disease in collagen vascular diseases: a systematic review. Eur J Radiol 112:200\u2013206. Available from: https:\/\/pubmed.ncbi.nlm.nih.gov\/30777211\/.\u00a0Accessed 24 Nov 2024","DOI":"10.1016\/j.ejrad.2019.01.024"}],"container-title":["Clinical Rheumatology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10067-025-07443-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10067-025-07443-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10067-025-07443-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,5]],"date-time":"2025-06-05T13:20:57Z","timestamp":1749129657000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10067-025-07443-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"references-count":35,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["7443"],"URL":"https:\/\/doi.org\/10.1007\/s10067-025-07443-7","relation":{},"ISSN":["0770-3198","1434-9949"],"issn-type":[{"value":"0770-3198","type":"print"},{"value":"1434-9949","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]},"assertion":[{"value":"21 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 April 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 April 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 May 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies with animals performed by any of the authors. The corresponding author certifies that all authors approved the entirety of the submitted material and contributed actively to the study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"None.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosures"}}]}}