BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Wu W, Bang S, Bleecker ER, Castro M, Denlinger L, Erzurum SC, Fahy JV, Fitzpatrick AM, Gaston BM, Hastie AT, Israel E, Jarjour NN, Levy BD, Mauger DT, Meyers DA, Moore WC, Peters M, Phillips BR, Phipatanakul W, Sorkness RL, Wenzel SE. Multiview Cluster Analysis Identifies Variable Corticosteroid Response Phenotypes in Severe Asthma. Am J Respir Crit Care Med 2019;199:1358-67. [PMID: 30682261 DOI: 10.1164/rccm.201808-1543OC] [Cited by in Crossref: 65] [Cited by in F6Publishing: 66] [Article Influence: 21.7] [Reference Citation Analysis]
Number Citing Articles
1 Ford ML, Ruwanpathirana A, Lewis BW, Britt RD. Aging-Related Mechanisms Contribute to Corticosteroid Insensitivity in Elderly Asthma. IJMS 2023;24:6347. [DOI: 10.3390/ijms24076347] [Reference Citation Analysis]
2 van der Burg N, Tufvesson E. Is asthma's heterogeneity too vast to use traditional phenotyping for modern biologic therapies? Respir Med 2023;:107211. [PMID: 36924848 DOI: 10.1016/j.rmed.2023.107211] [Reference Citation Analysis]
3 Zhou Y, Duan Q, Yang D. In vitro human cell-based models to study airway remodeling in asthma. Biomed Pharmacother 2023;159:114218. [PMID: 36638596 DOI: 10.1016/j.biopha.2023.114218] [Reference Citation Analysis]
4 Lameire S, Hammad H. Lung epithelial cells: Upstream targets in type 2-high asthma. Eur J Immunol 2023;:e2250106. [PMID: 36781404 DOI: 10.1002/eji.202250106] [Reference Citation Analysis]
5 Woodrow JS, Hines M, Sommardahl C, Flatland B, Lo Y, Wang Z, Sheats MK, Lennon EM. Initial investigation of molecular phenotypes of airway mast cells and cytokine profiles in equine asthma. Front Vet Sci 2022;9:997139. [PMID: 36713876 DOI: 10.3389/fvets.2022.997139] [Reference Citation Analysis]
6 Ray A, Das J, Wenzel SE. Determining asthma endotypes and outcomes: Complementing existing clinical practice with modern machine learning. Cell Rep Med 2022;3:100857. [PMID: 36543110 DOI: 10.1016/j.xcrm.2022.100857] [Reference Citation Analysis]
7 Bousquet J, Sousa-pinto B, Anto J, Amaral R, Brussino L, Canonica G, Cruz A, Gemicioglu B, Haahtela T, Kupczyk M, Kvedariene V, Larenas-linnemann D, Louis R, Pham-thi N, Puggioni F, Regateiro F, Romantowski J, Sastre J, Scichilone N, Taborda-barata L, Ventura M, Agache I, Bedbrook A, Bergmann K, Bosnic-anticevich S, Bonini M, Boulet L, Brusselle G, Buhl R, Cecchi L, Charpin D, Chaves-loureiro C, Czarlewski W, de Blay F, Devillier P, Joos G, Jutel M, Klimek L, Kuna P, Laune D, Pech J, Makela M, Morais-almeida M, Nadif R, Niedoszytko M, Ohta K, Papadopoulos N, Papi A, Yeverino D, Roche N, Sá-sousa A, Samolinski B, Shamji M, Sheikh A, Suppli Ulrik C, Usmani O, Valiulis A, Vandenplas O, Yorgancioglu A, Zuberbier T, Fonseca J. Identification by cluster analysis of patients with asthma and nasal symptoms using the MASK-air® mHealth app. Pulmonology 2022. [DOI: 10.1016/j.pulmoe.2022.10.005] [Reference Citation Analysis]
8 Rani A, Sehrawat H. Role Of Machine Learning and Random Forest in Accuracy Enhancement During Asthma Prediction. 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) 2022. [DOI: 10.1109/icrito56286.2022.9965149] [Reference Citation Analysis]
9 Domínguez-ortega J, Delgado Romero J, Muñoz Gall X, Marco A, Blanco-aparicio M. Uso de glucocorticoides sistémicos para el tratamiento del asma grave: Consenso multidisciplinar español. Open Respiratory Archives 2022;4:100202. [DOI: 10.1016/j.opresp.2022.100202] [Reference Citation Analysis]
10 Xu S, Chen Z, Ge L, Ma C, He Q, Liu W, Zhang L, Zhou L. Identification of potential biomarkers and pathogenesis in neutrophil-predominant severe asthma: A comprehensive bioinformatics analysis. Medicine (Baltimore) 2022;101:e30661. [PMID: 36197221 DOI: 10.1097/MD.0000000000030661] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Demoly P, Liu AH, Rodriguez Del Rio P, Pedersen S, Casale TB, Price D. A Pragmatic Primary Practice Approach to Using Specific IgE in Allergy Testing in Asthma Diagnosis, Management, and Referral. J Asthma Allergy 2022;15:1069-80. [PMID: 35996427 DOI: 10.2147/JAA.S362588] [Reference Citation Analysis]
12 Busse WW, Viswanathan R. What has been learned by cytokine targeting of asthma? Journal of Allergy and Clinical Immunology 2022;150:235-49. [DOI: 10.1016/j.jaci.2022.06.010] [Reference Citation Analysis]
13 Zhang R, Zhang J, Tan F, Yang D, Wang B, Dai J, Qi Y, Ran L, He W, Lv Y, Wang F, Fang Y. Multi-channel AgNWs-doped interdigitated organic electrochemical transistors enable sputum-based device towards noninvasive and portable diagnosis of lung cancer. Materials Today Bio 2022. [DOI: 10.1016/j.mtbio.2022.100385] [Reference Citation Analysis]
14 Di Bona D, Spataro F, Carlucci P, Paoletti G, Canonica GW. Severe asthma and personalized approach in the choice of biologic. Current Opinion in Allergy & Clinical Immunology 2022;22:268-275. [DOI: 10.1097/aci.0000000000000829] [Reference Citation Analysis]
15 Asano K, Tamari M, Zuberbier T, Yasudo H, Morita H, Fujieda S, Nakamura Y, Traidl S, Hamelmann E, Raap U, Babina M, Nagase H, Okano M, Katoh N, Ebisawa M, Renz H, Izuhara K, Worm M. Diversities of allergic pathologies and their modifiers: Report from the second DGAKI-JSA meeting. Allergol Int 2022:S1323-8930(22)00044-2. [PMID: 35662539 DOI: 10.1016/j.alit.2022.05.003] [Reference Citation Analysis]
16 Gautam S, Chu J, Cohen AJ, Kaur R, Wilson G, Liu Q, Gomez J, Rajaveen H, Yan X, Cohn L, Clark BJ, Chupp G. Sputum alarmin levels delineate distinct T2 cytokine pathways and patient subgroups in asthma.. [DOI: 10.1101/2022.05.29.22275711] [Reference Citation Analysis]
17 Farzan S, Coyle T, Coscia G, Rebaza A, Santiago M. Clinical Characteristics and Management Strategies for Adult Obese Asthma Patients. JAA 2022;Volume 15:673-89. [DOI: 10.2147/jaa.s285738] [Reference Citation Analysis]
18 Rhodes CJ, Sweatt AJ, Maron BA. Harnessing Big Data to Advance Treatment and Understanding of Pulmonary Hypertension. Circ Res 2022;130:1423-44. [PMID: 35482840 DOI: 10.1161/CIRCRESAHA.121.319969] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Marshall CL, Hasani K, Mookherjee N. Immunobiology of Steroid-Unresponsive Severe Asthma. Front Allergy 2021;2:718267. [PMID: 35387021 DOI: 10.3389/falgy.2021.718267] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
20 Choudhury S, Chohan A, Dadhwal R, Vakil AP, Franco R, Taweesedt PT. Applications of artificial intelligence in common pulmonary diseases. Artif Intell Med Imaging 2022; 3(1): 1-7 [DOI: 10.35711/aimi.v3.i1.1] [Reference Citation Analysis]
21 Mainguy-seers S, Diaw M, Lavoie J. Lung Function Variation during the Estrus Cycle of Mares Affected by Severe Asthma. Animals 2022;12:494. [DOI: 10.3390/ani12040494] [Reference Citation Analysis]
22 Li M, Zhu W, Saeed U, Sun S, Fang Y, Wang C, Luo Z. Identification of the molecular subgroups in asthma by gene expression profiles: airway inflammation implications. BMC Pulm Med 2022;22:29. [PMID: 35000593 DOI: 10.1186/s12890-022-01824-3] [Reference Citation Analysis]
23 Sharma V, Cowan DC. Obesity, Inflammation, and Severe Asthma: an Update. Curr Allergy Asthma Rep 2021;21:46. [PMID: 34921631 DOI: 10.1007/s11882-021-01024-9] [Cited by in Crossref: 3] [Article Influence: 1.5] [Reference Citation Analysis]
24 Magalang UJ, Keenan BT. Symptom Subtypes in OSA: Ready for the Clinic? Chest 2021;160:2003-4. [PMID: 34872664 DOI: 10.1016/j.chest.2021.09.022] [Reference Citation Analysis]
25 Syrowatka A, Song W, Amato MG, Foer D, Edrees H, Co Z, Kuznetsova M, Dulgarian S, Seger DL, Simona A, Bain PA, Purcell Jackson G, Rhee K, Bates DW. Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review. Lancet Digit Health 2021:S2589-7500(21)00229-6. [PMID: 34836823 DOI: 10.1016/S2589-7500(21)00229-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
26 Van Nevel S, van Ovost J, Holtappels G, De Ruyck N, Zhang N, Braun H, Maes T, Bachert C, Krysko O. Neutrophils Affect IL-33 Processing in Response to the Respiratory Allergen Alternaria alternata. Front Immunol 2021;12:677848. [PMID: 34484177 DOI: 10.3389/fimmu.2021.677848] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
27 Bourdin A, Charriot J, Boissin C, Ahmed E, Suehs C, De Sevin A, Volpato M, Pahus L, Gras D, Vachier I, Halimi L, Hamerlijnck D, Chanez P. Will the asthma revolution fostered by biologics also benefit adult ICU patients? Allergy 2021;76:2395-406. [PMID: 33283296 DOI: 10.1111/all.14688] [Reference Citation Analysis]
28 Castela Forte J, Yeshmagambetova G, van der Grinten ML, Hiemstra B, Kaufmann T, Eck RJ, Keus F, Epema AH, Wiering MA, van der Horst ICC. Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering. Sci Rep 2021;11:12109. [PMID: 34103544 DOI: 10.1038/s41598-021-91297-x] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
29 Kurokawa A, Kondo M, Arimura K, Ashino S, Tagaya E. Less airway inflammation and goblet cell metaplasia in an IL-33-induced asthma model of leptin-deficient obese mice. Respir Res 2021;22:166. [PMID: 34074279 DOI: 10.1186/s12931-021-01763-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
30 Wenzel SE. Severe Adult Asthmas: Integrating Clinical Features, Biology, and Therapeutics to Improve Outcomes. Am J Respir Crit Care Med 2021;203:809-21. [PMID: 33326352 DOI: 10.1164/rccm.202009-3631CI] [Cited by in Crossref: 35] [Cited by in F6Publishing: 42] [Article Influence: 17.5] [Reference Citation Analysis]
31 Camiolo MJ, Zhou X, Oriss TB, Yan Q, Gorry M, Horne W, Trudeau JB, Scholl K, Chen W, Kolls JK, Ray P, Weisel FJ, Weisel NM, Aghaeepour N, Nadeau K, Wenzel SE, Ray A. High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status. Cell Rep 2021;35:108974. [PMID: 33852838 DOI: 10.1016/j.celrep.2021.108974] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 7.0] [Reference Citation Analysis]
32 Feng Y, Wang Y, Zeng C, Mao H. Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease. Int J Med Sci 2021;18:2871-89. [PMID: 34220314 DOI: 10.7150/ijms.58191] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 8.5] [Reference Citation Analysis]
33 Awal MA, Hossain MS, Debjit K, Ahmed N, Nath RD, Habib GMM, Khan MS, Islam MA, Mahmud MAP. An Early Detection of Asthma Using BOMLA Detector. IEEE Access 2021;9:58403-20. [DOI: 10.1109/access.2021.3073086] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
34 Asano K, Ueki S, Tamari M, Imoto Y, Fujieda S, Taniguchi M. Adult-onset eosinophilic airway diseases. Allergy 2020;75:3087-99. [PMID: 33040364 DOI: 10.1111/all.14620] [Cited by in Crossref: 23] [Cited by in F6Publishing: 27] [Article Influence: 7.7] [Reference Citation Analysis]
35 Ahmed E, Lahmar Z, Charriot J, Bourdin A. Effet de la corticothérapie orale au long cours chez les patients asthmatiques sévères de type T2. Revue des Maladies Respiratoires Actualités 2020;12:2S398-2S408. [DOI: 10.1016/s1877-1203(20)30729-1] [Reference Citation Analysis]
36 Khemasuwan D, Sorensen JS, Colt HG. Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19. Eur Respir Rev 2020;29:200181. [PMID: 33004526 DOI: 10.1183/16000617.0181-2020] [Cited by in Crossref: 24] [Cited by in F6Publishing: 24] [Article Influence: 8.0] [Reference Citation Analysis]
37 Pérez de Llano L, Miravitlles M, Golpe R, Alvarez-Gutiérrez FJ, Cisneros C, Almonacid C, Martinez-Moragon E, Gonzalez-Barcala FJ, Ramos-Barbón D, Plaza V, Lopez-Campos JL, de-Torres JP, Casanova C, Garcia Rivero JL, Rodriguez Hermosa J, Calle Rubio M, Soler-Cataluña JJ, Cosio BG. A Proposed Approach to Chronic Airway Disease (CAD) Using Therapeutic Goals and Treatable Traits: A Look to the Future. Int J Chron Obstruct Pulmon Dis 2020;15:2091-100. [PMID: 32943862 DOI: 10.2147/COPD.S263430] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 7.3] [Reference Citation Analysis]
38 Berdine G, Alexander R, Nugent K. Clinical entities, phenotypes, causation, and endotypes based on selected asthma publications. Proc (Bayl Univ Med Cent) 2020;33:580-5. [PMID: 33100532 DOI: 10.1080/08998280.2020.1793444] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
39 Horne E, Tibble H, Sheikh A, Tsanas A. Challenges of Clustering Multimodal Clinical Data: Review of Applications in Asthma Subtyping. JMIR Med Inform 2020;8:e16452. [PMID: 32463370 DOI: 10.2196/16452] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
40 Ray A, Camiolo M, Fitzpatrick A, Gauthier M, Wenzel SE. Are We Meeting the Promise of Endotypes and Precision Medicine in Asthma? Physiol Rev 2020;100:983-1017. [PMID: 31917651 DOI: 10.1152/physrev.00023.2019] [Cited by in Crossref: 42] [Cited by in F6Publishing: 44] [Article Influence: 14.0] [Reference Citation Analysis]
41 Holguin F, Grasemann H, Sharma S, Winnica D, Wasil K, Smith V, Cruse MH, Perez N, Coleman E, Scialla TJ, Que LG. L-Citrulline increases nitric oxide and improves control in obese asthmatics. JCI Insight 2019;4:131733. [PMID: 31714895 DOI: 10.1172/jci.insight.131733] [Cited by in Crossref: 29] [Cited by in F6Publishing: 34] [Article Influence: 7.3] [Reference Citation Analysis]
42 Hyvönen S, Syrjala H. Asthma Case Cluster during Renovation of a Water-Damaged and Toxic Building. Microorganisms 2019;7:E642. [PMID: 31816917 DOI: 10.3390/microorganisms7120642] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
43 Schoettler N, Strek ME. Recent Advances in Severe Asthma: From Phenotypes to Personalized Medicine. Chest 2020;157:516-28. [PMID: 31678077 DOI: 10.1016/j.chest.2019.10.009] [Cited by in Crossref: 39] [Cited by in F6Publishing: 44] [Article Influence: 9.8] [Reference Citation Analysis]
44 Theofani E, Semitekolou M, Morianos I, Samitas K, Xanthou G. Targeting NLRP3 Inflammasome Activation in Severe Asthma. J Clin Med 2019;8:E1615. [PMID: 31590215 DOI: 10.3390/jcm8101615] [Cited by in Crossref: 37] [Cited by in F6Publishing: 39] [Article Influence: 9.3] [Reference Citation Analysis]
45 Horne E, Tibble H, Sheikh A, Tsanas A. Challenges of Clustering Multimodal Clinical Data: Review of Applications in Asthma Subtyping (Preprint).. [DOI: 10.2196/preprints.16452] [Reference Citation Analysis]
46 Wauters RH, Foster BE, Banks TA. Environmental Exposures and Asthma in Active Duty Service Members. Curr Allergy Asthma Rep 2019;19:43. [PMID: 31485825 DOI: 10.1007/s11882-019-0873-3] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
47 . Erratum: Multiview Cluster Analysis Identifies Variable Corticosteroid Response Phenotypes in Severe Asthma. Am J Respir Crit Care Med 2019;200:400. [PMID: 31368796 DOI: 10.1164/rccm.v200erratum2] [Reference Citation Analysis]
48 Chung KF. Predicting Response to Triamcinolone in Severe Asthma by Machine Learning. Solving the Enigma. Am J Respir Crit Care Med 2019;199:1299-300. [PMID: 30789751 DOI: 10.1164/rccm.201902-0320ED] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
49 Dixon AE, Holguin F. Metabolic dysfunction and severe asthma. Severe Asthma 2019. [DOI: 10.1183/2312508x.10023718] [Reference Citation Analysis]
50 Meyers DA, Wenzel SE, Bleecker ER. SARP: dissecting subphenotypes and endotypes of asthma. Severe Asthma 2019. [DOI: 10.1183/2312508x.10023518] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
51 Bhavsar P, Harmer G, Adcock IM, Chung KF. Corticosteroid responsiveness and resistance in severe asthma. Severe Asthma 2019. [DOI: 10.1183/2312508x.10024218] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]