Peer-reviewed publications

V Narayanan, K Baird & R Tay (2021), “Investment decisions: the trade-off between economic and environmental objectives”, The British Accounting Review 53, 100969

B Mashayekhi & M Saeedi (2020), “The position of balanced scorecard in stock selection decision making using PAPRIKA Technique”, Journal of Investment Knowledge 9, 295-315

M Namazi & R Gholami (2017), “Comprehensive ranking model of companies via accounting information, balanced scorecard and PAPRIKA technique”, Journal of Accounting Knowledge 7, 7-33

R Whiting, P Hansen & A Sen (2017), “A tool for measuring SMEs’ reputation, engagement and goodwill: A New Zealand exploratory study”, Journal of Intellectual Capital 18, 170-88

R Whiting, P Hansen & A Sen (2016), “A tool for measuring SMEs’ reputation, engagement and goodwill including internet and social media presence”, Proceedings of the 8th Asia-Pacific Interdisciplinary Research in Accounting (APIRA) Conference, Melbourne, Australia, 2016

J Ruhland (2006), “Strategic mobilization: What strategic management can learn from social movement research”, Management 11, 23-31

M McGillivray, S Feeny, S Knowles, P Hansen, F Ombler (2023), “What are valid weights for the Human Development Index? A discrete choice experiment for the United Kingdom”, Social Indicators Research 165, 679-94

M Genç, S Knowles & T Sullivan (2021), “In search of effective altruists”, Applied Economics 53, 805-19

S Feeny, P Hansen, S Knowles, M McGillivray & F Ombler (2019), “Donor motives, public preferences and the allocation of UK foreign aid: A discrete choice experiment approach”, Review of World Economics 155, 511-37

S Knowles (2019), “Why more Kiwis are not effective altruists”, EcoNZ@Otago 42, 8-9

N Aznam, W Hussain & F Bosli, “Preliminary study of zakat criteria to enhance existing zakat distribution methods using 1000Minds”, abstract, Guidebook 1st International Conference On Social Studies, Moral, and Character Education (ICSMC), Yogyakarta, Indonesia, 2018

H Cunningham, S Knowles & P Hansen (2017), “Bilateral foreign aid: How important is aid effectiveness to people for choosing countries to support?”, Applied Economics Letters 24, 306-10 [Economics Discussion Papers, No. 1605]

P Hansen, N Kergozou, S Knowles & P Thorsnes (2014), “Developing countries in need: Which characteristics appeal most to people when donating money?”, Journal of Development Studies 50, 1494-1509

P Hansen, N Kergozou & S Knowles (2013), “Charitable giving: How recipient-country characteristics influence donors’ behaviour”, EcoNZ@Otago 31, 1-3

L Laver, G Filardo, M Sanchez M et al (2025), “Use of injectable orthobiological products for osteoarthritis of the knee: An ESSKA-ORBIT European consensus. Part 1 – blood-derived products (platelet-rich plasma)”, Journal de Traumatologie du Sport 42, 7-20 [in French except for abstract]

A Pierobon, W Taylor, R Siegert et al (2024), “Exploring the perceived difficulty and importance of lower limb physical activities for people with and without osteoarthritis: a discrete choice experiment”, Musculoskeletal Care 22, e70011

S Zhu, K Bennell, R Hinman et al (2024), “Development of a 12-week unsupervised online tai chi program for people with hip and knee osteoarthritis: mixed methods study”, JMIR Aging 7, e55322

L Laver, G Filardo, M Sanchez et al (2024), “The use of injectable orthobiologics for knee osteoarthritis: A European ESSKA‐ORBIT consensus. Part 1 – Blood‐derived products (platelet‐rich plasma)”, Knee Surgery, Sports Traumatology, Arthroscopy 32, 783-97

D Laorden, E Zamarrón, D Romero et al (2023), “Evaluation of FEOS score and super-responder criteria in a real-life cohort treated with anti-IL5/IL5R”, Respiratory Medicine 211, 107216

S Murias, A Boteanu, I Calvo et al (2023), “What drives the decision to optimise biological treatment in children and youngsters with juvenile idiopathic arthritis? A discrete-choice experiment”, Reumatología Clínica 19, 26-33

Z Landis-Lewis, A Flynn, A Janda & N Shah (2022), “A scalable service to improve health care quality through precision audit and feedback: Proposal for a randomized controlled trial”, JMIR Research Protocols 11, e3499

I Teijeiro, I Peralta, L De Llano et al (2021), “Development of a tool to measure the clinical response to biologic therapy in uncontrolled severe asthma: the FEOS score”, abstract, 2021 European Respiratory Society (ERS) International Congress, virtual format, 2021, European Respiratory Journal 58(suppl 65), PA1098

L de Llano, I Dávila, E Martínez-Moragón et al (2021), “Development of a tool to measure the clinical response to biologic therapy in uncontrolled severe asthma: The FEV1, Exacerbations, Oral Corticosteroids, Symptoms Score” The Journal of Allergy and Clinical Immunology: In Practice 9, 2725-31

C Baggott, P Hansen, R Hancox et al (2020), “What matters most to patients when choosing treatment for mild-moderate asthma? Results from a discrete choice experiment”, Thorax 75, 842-48

M Anaka, D Chan, S Pattison et al (2020), “Understanding the treatment preferences of neuroendocrine tumor patients using discrete choice experiments”, abstract, 12th Annual Multidisciplinary Neuroendocrine Tumor Medical Symposium of the North American Neuroendocrine Tumor Society, Boston, USA, Pancreas 49, 461-91

D Pinto, S Prabhakaran, E Tipton & A Naidech (2020), “Why physicians prescribe prophylactic seizure medications after intracerebral hemorrhage: An adaptive conjoint analysis”, Journal of Stroke and Cerebrovascular Diseases 29, 104628

C Baggott, J Hardy, H Reddel et al (2019), “Discrete choice experiments identifying attributes influencing treatment preference in mild asthma”, abstract, 2019 European Respiratory Society (ERS) International Congress, Madrid, Spain, 2019, European Respiratory Journal 54(suppl 63), PA4189

P Teo, R Hinman, T Egerton, K Dziedzic & K Bennell (2019), “Identifying and prioritizing clinical guideline recommendations most relevant to physical therapy practice for hip and/or knee osteoarthritis”, Journal of Orthopaedic & Sports Physical Therapy 49, 501-12

R Cai, H Chaplin, P Livermore et al (2019), “Development of a benchmarking toolkit for adolescent and young adult rheumatology services (BeTAR)”, Pediatric Rheumatology 17, 23

D Pinto, U Bockenholt, J Lee et al (2019), “Preferences for physical activity: A conjoint analysis involving people with chronic knee pain”, Osteoarthritis & Cartilage 27, 240-47

A Liberman, D Pinto, S Rostanski et al (2019), “Clinical decision-making for thrombolysis of acute minor stroke using adaptive conjoint analysis”, The Neurohospitalist 9, 9-14

A Liberman, D Pinto, D Labovitz, A Naidech & S Prabhakaran (2018), “Evaluating thrombolysis decision making in minor stroke using adaptive discrete choice experimentation”, abstract, American Heart Association/American Stroke Association 2018 International Stroke Conference and State-of-the-Science Stroke Nursing Symposium, Los Angeles, USA, 2018, Stroke 49(suppl 1)

J Hart, R Hinman, A Van Ginckel et al (2018), “Factors influencing cane use for the management of knee osteoarthritis: a cross sectional survey”, Arthritis Care & Research 70, 1455-60

D Pinto, R Chang, U Bockenholt et al (2017), “What physical activity program features are important to patients with knee osteoarthritis? A discrete choice experiment”, poster abstract, World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases 2017, Florence, Italy, Osteoporosis International 28(suppl1), S516-17

D Pinto, U Bockenholt, R Chang et al (2017), “Preferences for physical activity: A discrete choice experiment in people with chronic knee pain”, abstract, 2017 ACR/ARHP Annual Meeting, San Diego, USA, 2017, Arthritis & Rheumatology 69(suppl10)

D Pinto, M Danilovich, P Hansen et al (2017), “Qualitative development of a discrete choice experiment for physical activity interventions to improve knee osteoarthritis”, Archives of Physical Medicine and Rehabilitation 98, 1210-16

R Walsh, B Aliarzadeh & C Mastrogiacomo (2016), “Patient strength of preference for best practices in patient education”, Journal of Community Medicine & Health Education 6, 1-8

D Griffin, E Dickenson, J O’Donnell et al (2016), “The Warwick Agreement on femoroacetabular impingement syndrome (FAI syndrome): an international consensus statement”, British Journal of Sports Medicine 50, 1169-76

S French, K Bennell, P Nicolson et al (2014), “What do people with knee or hip osteoarthritis need to know? An international consensus list of essential statements for osteoarthritis”, Arthritis Care & Research 67, 809-16

P Nicolson, S French, R Hinman et al (2014), “Developing key messages for people with osteoarthritis: A delphi study”, Osteoarthritis & Cartilage 22, S305-S306

C Awa, J Cortez, L Gultiano, H Jardin & D Lagria (2025), “Conjoint analysis of ambiance influence on coffee shop preferences among Gen Z students in Davao City”, International Journal of Business and Applied Economics 4, 1321-36

E Canoy, FR De Rosas, FM De Rosas, K Pastoriza & K Sisbreño (2025), “Comparative preferences for plant-based meat products among Generations X and Y in Davao City using conjoint analysis”, International Journal of Business and Applied Economics 4, 1337-48

J Jimenez, I Soria & C Taladtad (2025), “Analyzing school shoes preferences among Gen Z college students in Davao City using conjoint analysis”, International Journal of Business and Applied Economics 4, 1407-18

N Longyapon, L Sapidan & M Sy (2025), “Sustainable packaging in the beverage industry: a conjoint analysis of Gen Z college students’ preferences in Davao City”, International Journal of Business and Applied Economics 4, 1395-1406

A Andres, I Aquino, M Balcita, A Chang & J Lantong (2025), “A conjoint analysis of the preferences for food and beverage pop-up shops among Gen Z college students in Davao City”, International Journal of Business and Applied Economics 4, 1381-94

L Gabato, A Latip, K Pielago, K Sanchez & A Vilvestre (2025), “A conjoint analysis of the preferred digital marketing approaches for coffee shops among Gen Z college students in Davao City”, International Journal of Business and Applied Economics 4, 1349-64

E Sumatra, R Ladroma, R Marte & D Abrina (2025) “Designing Gen Z-centric sustainable tourism strategies in southeastern Mindanao region of the Philippines using conjoint analysis”, Asian Journal of Community Services 4, 342-52

E Sumatra (2025), “Understanding Gen Z preferences for features of online learning platforms through conjoint analysis”, East Asian Journal of Multidisciplinary Research 4, 1739-54

E Sumatra (2025), “Tourism preferences of Gen Z in the Philippines: A conjoint analysis of beach resort attributes in Samal Island”, International Journal of Advanced Research 4, 365-80

V Patwardhan, N Ahmed, H Unnikrishnan & J Mallya (2025), “Understanding consumer preferences of whiskey attributes: a conjoint study”, Cogent Business & Management 12, 2472023

S Mandolesi, E Cubero Dudinskaya, S Naspetti et al (2024), “Organic consumers’ preferences for dried pasta made with ancient wheat varieties”, LVIII Società Italiana di Economia Agraria (SIDEA), Conference, Palermo, Italy, 2022. In: A Cavicchi et al, “Innovation and Knowledge in Agri-food and Environmental Systems”, Springer Proceedings in Business and Economics, 207-13

E Sumatra (2024), “Examining how candidate attributes shape Gen Z perceptions for the 2025 Philippine senate elections using conjoint analysis”, Journal of Interdisciplinary Perspectives 3, 172-83

P Patel, M Stenmark, V Parida & P Tran (2023), “A socio-institutional perspective on the reluctance among the elderly concerning the commercialization of 3D surgical video technology in Sweden”, Journal of Innovation & Knowledge 8, 100361

V Payini, J Mallya & S Piramanayagam (2022), “Indian women consumers’ wine choice: a study based on conjoint analysis”, International Journal of Wine Business Research 34, 469-94

T Phan, P Bremer & M Mirosa (2020), “Vietnamese consumers’ preferences for functional milk powder attributes: A segmentation-based conjoint study with educated consumers”, Sustainability 12, 5258

M Mirosa, Y Liu & P Bremer (2020), “Determining how Chinese consumers that purchase Western food products prioritize food safety cues: A conjoint study on adult milk powder”, Journal of Food Products Marketing 26, 358-71

C Parsad, C Chandra & S Suman (2019), “A product feature prioritization-based segmentation model of consumer market for health drink”, International Journal of Strategic Decision Sciences 10, 70-83

R Wijland, P Hansen & F Gardezi (2016), “Economic psychology applied to business: Designing a mobile-banking app”, EcoNZ@Otago 37, 12-14

R Wijland, P Hansen & F Gardezi (2016), “Mobile nudging: Youth engagement with banking apps”, Journal of Financial Services Marketing 21, 51-63

PY Lee, K Lusk, M Mirosa & I Oey (2015), “An attribute prioritization-based segmentation of the Chinese consumer market for fruit juice”, Food Quality and Preference 46, 1-8

A Chan, M Tao, S Marsh & H Petousis-Harris (2024), “Vaccine decision making in New Zealand: a discrete choice experiment”, BMC Public Health 24, 1-11

V Jain, R Atun, P Hansen & P Lorgelly (2022), “Which countries need Covid-19 vaccines the most? Development of a prioritisation tool”, BMC Public Health 22, 1518

D Wesselbaum & P Hansen (2022), “Lockdown design: Which features of lockdowns are most important to Covid-19 experts?”, Journal of the Royal Society of New Zealand 52, 569-79

H Chaker, A Rhili, I Zamali et al (2022), “Multi-criteria decision analysis to prioritize people for Covid-19 vaccination when vaccines are in short supply”, Frontiers in Health Services 2, 760626

M Roy, P Hansen, T Sullivan, F Ombler, M Kiore, A Stapleton & C Carr (2021), “Rapid development of a tool for prioritizing Covid-19 patients for intensive care” Critical Care Explorations 3, e0368

P De Nardo, E Gentilotti, F Mazzaferri et al and Covid-19 MCDA Group (2020), “Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by Covid-19 in low-resource settings with hospital-bed shortage”, International Journal of Infectious Diseases 98, 494-500

V Chechnev (2025), “Using decision support systems in automation of decision-making processes”, Russian Digital Libraries Journal 28, 163-83 [in Russian]

M Hatefi (2023), “A typology scheme for the criteria weighting methods in MADM”, International Journal of Information Technology & Decision Making 22, 1439-88

E Petrova & R Ştefănescu (2022), “Decision making, some individual decision-making styles and software for decision making”, Defence Science Review 15, 1-12

C Labianca, S De Gisi & M Notarnicola (2022), “Multi-criteria decision-making”, In: Assessing Progress Towards Sustainability, Elsevier, 219-243

S Babashahi, P Hansen & R Peeters (2023), “External validity of multi-criteria preference data obtained from non-random sampling: measuring cohesiveness within and between groups”, Annals of Operations Research 325, 939-49

A Aramja & O Kamach (2022) “Decision support tool for manufacturing execution systems: Case study from the steel industry”, International Conference on Advanced Intelligent Systems for Sustainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy and Security, Tangier, Morocco 2020, In: J Kacprzyk, V Balas & M Ezziyyani (editors), Advances in Intelligent Systems and Computing 1417, 411-26

A Stipeč & B Boshkoska (2021), “Comparison of AHP, PAPRICA, PROMETHEE, DEX and TOPSIS on an application for employee selection”, International Conference on Decision Support System Technology, Loughborough, United Kingdom, In: U Jayawickrama, P Delias, M Escobar & J Papathanasiou (editors), Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management, Lecture Notes in Business Information Processing 414, 44-54

S Kadenko, V Tsyganok, O Andriichuk, A Karabchuk & M Fu (2020), “An overview of decision support software: strategic planning perspective”, Інформаційні Технології І Безпека, 34

S Babashahi, P Hansen, R Peeters & T Sullivan (2020), “Evaluating the reliability and validity of two prominent MCDA methods”, abstract, Biennial European Meeting of the Society for Medical Decision Making, Berlin, Germany, 2020, postponed to 2022, Medical Decision Making 40, E470

S Kadenko, V Tsyganok, O Andriichuk, A Karabchuk & M Fu (2020), “An overview of decision support software: Strategic planning perspective”, XX International Scientific and Practical Conference “Information Technologies and Security” 2020 (ITS 2020), Kyiv, Ukraine, CEUR Workshop Proceedings 2859, 142-56

V Lakhno, T Kartbayev, A Turginbayeva, Zh Alimseitova & G Beketova (2020), “Analysis of existing and development prospects of decision support systems for evaluating investment projects in the field of enterprise digitalization”, International Journal of Advanced Trends in Computer Science and Engineering 9, 8533-39

S Kadenko, V Tsyganok, O Andriichuk & A Karabchuk (2020), “Analysis of decision support tools in the context of solving strategic planning tasks” (in Ukrainian), Registration, Storage and Data Processing 22, 77-91

B Németh, A Molnár, S Bozóki et al (2019), “Comparison of weighting methods used in multicriteria decision analysis frameworks in healthcare with focus on low-and middle-income countries”, Journal of Comparative Effectiveness Research 8, 195-204

S Mirzaee, M Ruth & D Fannon (2019), “Reconciling diverse perspectives of decision makers on resilience and sustainability”, Chapter 19, In: M Ruth & S Goessling-Reisemann, Handbook on Resilience of Socio-Technical Systems, Elgar, 360-86

F Vergara-Solana, M Araneda & G Ponce-Díaz (2019), “Opportunities for strengthening aquaculture industry through multicriteria decision-making”, Reviews in Aquaculture 11, 105-18

S Gafar (2018), “Decision support top software products: A review”, Engineering and Technology Journal 3, 416-20

A Kumar, B Sah, A Singh et al (2017), “A review of multi criteria decision making (MCDM) towards sustainable renewable energy development”, Renewable and Sustainable Energy Reviews 69, 596-609

N Grima, S Singh & B Smetschka (2017), “Decision making in a complex world: Using OPTamos in a multi-criteria process for land management in the Cuitzmala watershed in Mexico”, Land Use Policy 67, 73-85

J Mustajoki & M Marttunen (2017), “Comparison of multi-criteria decision analytical software for supporting environmental planning processes”, Environmental Modelling & Software 93, 78-91

R Sengupta (2016), “Other decision-making models”, Chapter 5, In: Decision Sciences: Theory and Practice, CRC Press

HR Weistroffer & Y Li (2016), “Multiple criteria decision analysis software”, Chapter 12, In: S Greco, M Ehrgott & JR Figueira (editors), Multiple Criteria Decision Analysis. State of the Art Surveys, International Series in Operations Research & Management Science 233, 1301-41

U Baizyldayeva, O Vlasov, A Kuandykov & T Akhmetov (2013), “Multi-criteria decision support systems. Comparative analysis”, Middle-East Journal of Scientific Research 16, 1725-30

P Hansen & F Ombler (2008), “A new method for scoring multi-attribute value models using pairwise rankings of alternatives”, Journal of Multi-Criteria Decision Analysis 15, 87-107

Y Shen, Y Cai & X Wang (2024), “Intangible cultural heritage in industrial design”, Digital Scholarship in the Humanities 39, 354-72

J Vepsäläinen (2022), “Engineering idea generation framework for the digital era”, NordDesign 2022, Copenhagen, Denmark, Proceedings of NordDesign 2022, 1-12

F Martins, E Santos & L Vils (2017), “Organizational creativity in innovation – a multicriteria decision analysis”, Independent Journal of Management & Production8, 1223-45

L Dalgaard, T Heikkilä & J Koskinen (2014), “The R3-COP decision support framework for autonomous robotic system design”, Proceedings of the joint 45th International Symposium on Robotics and 8th German Conference on Robotics (ISR-Robotik 2014), München, Germany, 2014

L Dalgaard (2014), “Technology assessment in robotic systems design using PAPRIKA”, Proceedings of the 7th International Conference on Human Systems Interaction, Lisbon, Portugal, 2014

T Heikkilä, L Dalgaard & J Koskinen (2013), “Designing Autonomous Robot Systems – Evaluation of the R3-COP Decision Support System approach”, Proceedings of the ERCIM/EWICS Workshop on Dependable Embedded and Cyber-physical Systems (DECS’13) at the 32nd International Conference on Computer Safety, Reliability & Security (SAFECOMP 2013), Toulouse, France, 2013

T Heikkilä, L Dalgaard & J Koskinen (2013), “Decision support for designing autonomous robot systems”, Proceedings of AutomaatioXX. Automation and Systems without Borders – Beyond Future, Helsinki, Finland, 2013

P Isihara, C Shi, J Ward et al (2020), “Identifying most typical and most ideal attribute levels in small populations of expert decision makers: Studying the Go/No Go decision of disaster relief organizations”, Journal of Choice Modelling 35,100204

E Kay, J Stevenson, C Bowie, V Ivory & J Vargo (2019), The Resilience Warrant of Fitness Research Programme: Towards a method for applying the New Zealand Resilience Index in a regional context, June 2019 report, 1-26

R Jana, C Prakash & A Tiwari (2019), “Humanitarian aid delivery decisions during the early recovery phase of disaster using a discrete choice multi-attribute value method”, Annals of Operations Research 283, 1211-25

E Kay, J Stevenson & C Bowie (2018), “Weighting indicators of resilience: Expert opinions on the New Zealand Resilience Index”, Results Bulletin 2018-12

Y Zhao, M Oliver, A Schnabel et al (2025), “EULAR/American College of Rheumatology classification criteria for pediatric chronic nonbacterial osteomyelitis”, Arthritis & Rheumatology, early online version

V Rypdal, H Brunner, B Feldman et al (2025), “Physician's global assessment of disease activity in juvenile idiopathic arthritis: consensus-based recommendations from an international task force”, Annals of the Rheumatic Diseases, early online version

T Uhlig, J Stjärne, L Karoliussen et al (2025), “Remission in gout is possible: 5-year follow-up in the NOR-Gout study”, Seminars in Arthritis and Rheumatism 72, 152698 

G Zanframundo, E Dourado, I Bauer-Ventura et al (2025), “The role of multi-criteria decision analysis in the development of candidate classification criteria for antisynthetase syndrome: analysis from the CLASS project”, Annals of the Rheumatic Diseases, early online version

Y Zhao, M Oliver, A Schnabel et al (2025), “EULAR/ACR classification criteria for paediatric chronic nonbacterial osteomyelitis (CNO)”, Annals of the Rheumatic Diseases, early online version

E Khaleva, C Brightling, T Eiwegger et al (2024), “Patient-centred composite scores as tools for assesment of response to biological therapy for paediatric and adult severe asthma”, European Respiratory Journal, early online version

P McDowell, J Busby, J Stone, C Butler & L Heaney (2024), “Longitudinal assessment of glucocorticoid toxicity reduction in patients with severe asthma treated with biologic therapies”, The Journal of Allergy and Clinical Immunology: In Practice 13, 298-307

T Uhlig (2024), “Remission is the mission in gout”, The Journal of Rheumatology 51, 1057-59

A Tabi-Amponsah, M Doherty, A Sarmanova et al (2024), “Post-hoc analysis of two gout remission definitions in a two-year randomized controlled trial of nurse-led versus usual gout care”, Seminars in Arthritis and Rheumatism 69, 152555

M Barbhaiya, S Zuily, M Amigo et al (2024), “Development of the 2023 ACR/EULAR antiphospholipid syndrome classification criteria, Phase III‐D Report: Multi Criteria Decision Analysis”, Arthritis Care & Research 76, 1617-25

A Tabi-Amponsah, L Stamp, A Horne et al (2024), “Analysis of gout remission definitions in a randomised controlled trial of colchicine prophylaxis for people with gout initiating allopurinol”, The Journal of Rheumatology 51, 1135-40

G Wells, F Guillemin, P Merkel et al (2024), “Advancing composite outcome measures: insights on weighting components from OMERACT 2023”, Seminars in Arthritis and Rheumatism 152503

G Zanframundo, E Dourado, I Bauer-Ventura et al (2024), “The role of multi-criteria decision analysis in the development of candidate classification criteria for antisynthetase syndrome: analysis from the class project”, abstract, EULAR 2024 European Congress of Rheumatology, Vienna, Austria, Annals of the Rheumatic Diseases 83(suppl 1), 92-93

V Rypdal, B Gottlieb, A Aggarwal et al (2024), “Toward the development of consensus-based guidelines for scoring the physician global assessment of disease activity in juvenile idiopathic arthritis”, abstract, EULAR 2024 European Congress of Rheumatology, Vienna, Austria, Annals of the Rheumatic Diseases 83(suppl 1), 224

I Haugen, D Felson, A Abhishek et al (2024), “2023 EULAR classification criteria for hand osteoarthritis”, Annals of the Rheumatic Diseases 83, 1428-35

F Del Galdo, L Bissell, S Huang et al (2023), “Development and validation of ranked composite important difference (RCID) score in diffuse cutaneous systemic sclerosis”, abstract, EULAR 2023 European Congress of Rheumatology, Milan, Italy, Annals of the Rheumatic Diseases 82(suppl 1), 416

A Abhishek, S Tedeschi, T Pascart et al (2023), “The 2023 ACR/EULAR classification criteria for calcium pyrophosphate deposition disease”, Annals of the Rheumatic Diseases 83, 1248-57

M Barbhaiya, S Zuily, R Naden et al (2023), “The 2023 ACR/EULAR antiphospholipid syndrome classification criteria”, Annals of the Rheumatic Diseases 82, 1258-70

A Abhishek, S Tedeschi, T Pascart et al (2023), “The 2023 ACR/EULAR classification criteria for calcium pyrophosphate deposition disease”, Arthritis & Rheumatology 75, 1703-13

M Barbhaiya, S Zuily, R Naden et al (2023), “The 2023 ACR/EULAR antiphospholipid syndrome classification criteria”, Arthritis & Rheumatology 75, 1687-1702

S Li, C Rabinovich, M Becker et al (2023), “Capturing the range of disease involvement in localized scleroderma: The Localized scleroderma Total Severity Scale (LoTSS)”, Arthritis Care & Research 76, 616-26

G Zanframundo, S Faghihi-Kashani, P Hansen et al (2023), “Preliminary steps for multicriteria decision analysis process in the development of classification criteria for antisynthetase syndrome: the use of 1000minds for the CLASS project”, abstract, 4th Global Conference on Myositis (GCOM), Prague, Czech Republic, 2022, Clinical and Experimental Rheumatology 41, 527

T Otobo, M Tolend, A Meyers et al (2023), “Determination of relative weightings for sacroiliac joint pathologies in the OMERACT Juvenile Arthritis Magnetic Resonance Imaging Sacroiliac Joint Score”, Journal of Clinical Medicine 12, 2729

L Bissell, D Furst, F Del Galdo et al (2022), “The development of the ranked composite important difference in diffuse cutaneous systemic sclerosis; a clinical and patient meaningful anchor to the ACR-Composite Response Index in SSc”, abstract, ACR Convergence 2022, Philadelphia, USA, 2022, Arthritis & Rheumatology, 74(suppl 9), 1052-54

K Costenbader (2022), “Ever-evolving disease classification criteria for clinical trials and studies: the case of systemic lupus erythematosus”, In: M Lockshin, M Crow & M Barbhaiya (editors), Diagnoses Without Names, Springer, Cham

J Stone, P McDowell, D Jayne et al (2022), “The glucocorticoid toxicity index: Measuring change in glucocorticoid toxicity over time”, Seminars in Arthritis and Rheumatism 55, 152010

P Brogan, R Naden, S Ardoin et al (2022), “The pediatric glucocorticoid toxicity index”, Seminars in Arthritis and Rheumatism 56, 152068

A Damiani, G Sakellariou, A Adinolfi et al on behalf of the Italian society for Rheumatology (SIR) Ultrasound group (2022), “The first algorithm to integrate ultrasonography in the diagnostic process of differential diagnosis of inflammatory arthropathy in clinical practice: A study from the MSUS Working Group of the Italian Society of Rheumatology”, abstract, EULAR 2022 European Congress of Rheumatology, Copenhagen, Denmark, Annals of the Rheumatic Diseases 81(suppl1), 292-93

L Bissell, D Furst, F Del Galdo et al on behalf of Linear Criss (2022), “The development of the linear CRISS; a clinical and patient meaningful anchor to the ACR-CRISS in scleroderma”, abstract, Annual European Congress of Rheumatology, EULAR 2022, Copenhagen, Denmark, 2022, Annals of the Rheumatic Diseases 81(suppl1), 728

N Dalbeth, C Frampton, M Fung, S Baumgartner & H Choi (2022), “Predictors of patient and physician assessments of gout control”, Arthritis Care & Research, forthcoming

I Haugen, D Felson, A Abhishek et al (2022), “Development of radiographic classification criteria for hand osteoarthritis: Methodological report (Phase 2)”, RMD Open 8, 1-10

M Lockshin, M Crow & M Barbhaiya (2022), “When a diagnosis has no name: Uncertainty and opportunity”, ACR Open Rheumatology 4, 197-201

H Lythgoe, L McCann, C Hedrich & M Aringer (2022), “Classification of systemic lupus erythematosus in children and adults”, Clinical Immunology 234, 108898

M Tolend, T Junhasavasdikul, R Cron et al (2022), “Discrete choice experiment on a magnetic resonance imaging scoring system for temporomandibular joints in juvenile idiopathic arthritis” Arthritis Care & Research 74, 308-16

E Cipolletta, J Di Battista, M Di Carlo et al (2021), “Sonographic estimation of monosodium urate burden predicts the fulfillment of the 2016 remission criteria for gout: a 12-month study”, Arthritis Research Therapy 23, 185 

P McDowell, J Stone, Y Zhang et al (2021), “Quantification of glucocorticoid-associated morbidity in severe asthma using the Glucocorticoid Toxicity Index”, The Journal of Allergy and Clinical Immunology: In Practice 9, 365-72

K Quinn, S Monti, R Christensen et al (2021), “Developing a composite outcome tool to measure response to treatment in anca-associated vasculitis: A mixed methods study from OMERACT 2020”, Seminars in Arthritis and Rheumatism 51, 1134-38

A Mahmoudian, S Lohmander, M Englund, P Hansen, F Luyten & International Early-stage Knee OA Classification Criteria Expert Panel (2021), “Lack of agreement in experts’ classification of patients with early-stage knee osteoarthritis”, abstract, 2021 OARSI Virtual World Congress on Osteoarthritis: OARSI Connect ‘21, Osteoarthritis and Cartilage 29, S299-S300

C Shiboski & T Daniels (2021), “Historical background, classification, and diagnostic criteria”, Section 1.2, In: E Price & A Tappuni (editors), Oxford Textbook of Sjögren's Syndrome, Oxford University Press

N Dalbeth, L Stamp & W Taylor (2021), “What is remission in gout and how should we measure it?”, Rheumatology 60, 1007-9

M Aringer, N Leuchten & S Johnson (2020), “New criteria for Lupus”, Current Rheumatology Reports 22, 1-8

Z Wallace, R Naden, S Chari et al (2020), “The 2019 American College of Rheumatology/European League Against Rheumatism Classification Criteria for IgG4‐Related Disease”, Arthritis & Rheumatology 72, 7-19

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