1000minds

Last updated
1000minds
Developer(s) 1000minds Ltd
Initial release2003 (2003)
Operating system Web application
Available inEnglish
Type Decision-making software, Business intelligence, Conjoint analysis, Choice modelling
License Proprietary
Website www.1000minds.com

1000minds is a web application for decision-making and conjoint analysis supplied by 1000minds Ltd since 2003. [1] [2] [3] [4] [5] [6]

Contents

1000minds implements the PAPRIKA method to help business, government and non-profit users to make decisions based on considering multiple objectives or criteria (i.e., multiple-criteria decision analysis). 1000minds conjoint analysis involves surveying people about their preferences with respect to the relative importance of features or attributes characterizing products or other objects of interest.

In addition, a free consumer-oriented web application based on 1000minds technology to help with 'everyday' decision-making, known as MeenyMo, was released in 2016. [2] [7]

Overview

1000minds helps with decisions that involve ranking, prioritizing or choosing between alternatives when multiple objectives or criteria need to be considered simultaneously (i.e., multi-criteria decision making). Depending on the application, budgets or other scarce resources can also be allocated across competing alternatives in pursuit of maximum 'value for money'. [1] [2] [3]

The PAPRIKA method is used to determine the relative importance of criteria or attributes and rank alternatives. [8] Invented by Franz Ombler and Paul Hansen at the University of Otago, [9] the PAPRIKA method is based on pairwise comparisons, as illustrated in the accompanying image.

Example of a 1000minds pairwise comparison (trade-off question) 1000minds trade-off.png
Example of a 1000minds pairwise comparison (trade-off question)

1000minds is also for group decision-making, involving potentially hundreds or thousands of participants – working together or individually with their results aggregated.

1000minds conjoint analysis surveys are for discovering consumers' or other stakeholders' preferences with respect to the relative importance – represented by 'part-worth utilities' or 'weights' – of the features or attributes characterizing products or other objects of interest (i.e., choice modelling, conjoint analysis and discrete choice). [4] [5]

Applications

As well as business, government and non-profit organizations, as evidenced by the citations below, 1000minds is used for research at over 180 universities worldwide, including for teaching. [10] 1000minds (originally branded as Point Wizard) and several of its applications have won or been a finalist for a number of innovation awards. [11] [12] [13] [14] [15]

Areas in which 1000minds is used include the following notable examples.

Health

Environment

Urban planning and waste management

Breeding

Policy-making research

Management and accounting

Information and communication technology (ICT)

Miscellaneous

Related Research Articles

<span class="mw-page-title-main">Rheumatoid arthritis</span> Type of autoimmune arthritis

Rheumatoid arthritis (RA) is a long-term autoimmune disorder that primarily affects joints. It typically results in warm, swollen, and painful joints. Pain and stiffness often worsen following rest. Most commonly, the wrist and hands are involved, with the same joints typically involved on both sides of the body. The disease may also affect other parts of the body, including skin, eyes, lungs, heart, nerves, and blood. This may result in a low red blood cell count, inflammation around the lungs, and inflammation around the heart. Fever and low energy may also be present. Often, symptoms come on gradually over weeks to months.

<span class="mw-page-title-main">Giant cell arteritis</span> Inflammatory disease of large blood vessels

Giant cell arteritis (GCA), also called temporal arteritis, is an inflammatory autoimmune disease of large blood vessels. Symptoms may include headache, pain over the temples, flu-like symptoms, double vision, and difficulty opening the mouth. Complications can include blockage of the artery to the eye with resulting blindness, as well as aortic dissection, and aortic aneurysm. GCA is frequently associated with polymyalgia rheumatica. It can be confirmed by biopsy of the temporal artery in about 90% of people.

<span class="mw-page-title-main">Fibromyalgia</span> Chronic pain of unknown cause

Fibromyalgia is a medical syndrome which causes chronic widespread pain, accompanied by fatigue, waking unrefreshed, and cognitive symptoms. Other symptoms can include headaches, lower abdominal pain or cramps, and depression. People with fibromyalgia can also experience insomnia and a general hypersensitivity. The cause of fibromyalgia is unknown, but is believed to involve a combination of genetic and environmental factors. Environmental factors may include psychological stress, trauma, and certain infections. Since the pain appears to result from processes in the central nervous system, the condition is referred to as a "central sensitization syndrome".

<span class="mw-page-title-main">Ankylosing spondylitis</span> Type of arthritis of the spine

Ankylosing spondylitis (AS) is a type of arthritis from the disease spectrum of axial spondyloarthritis. It is characterized by long-term inflammation of the joints of the spine, typically where the spine joins the pelvis. With AS, eye and bowel problems—as well as back pain—may occur. Joint mobility in the affected areas sometimes worsens over time. Ankylosing spondylitis is believed to involve a combination of genetic and environmental factors. More than 90% of people affected in the UK have a specific human leukocyte antigen known as the HLA-B27 antigen. The underlying mechanism is believed to be autoimmune or autoinflammatory. Diagnosis is based on symptoms with support from medical imaging and blood tests. AS is a type of seronegative spondyloarthropathy, meaning that tests show no presence of rheumatoid factor (RF) antibodies.

Spondyloarthritis (SpA), also known as spondyloarthropathy, is a collection of clinical syndromes that are connected by genetic predisposition and clinical manifestations. The best-known clinical subtypes are enteropathic arthritis (EA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), and reactive arthritis (ReA). Spondyloarthritis typically presents with inflammatory back pain and asymmetrical arthritis, primarily affecting the lower limbs, and enthesitis, inflammation at bone-adhering ligaments, tendons, or joint capsules.

<span class="mw-page-title-main">Juvenile idiopathic arthritis</span> Childhood rheumatic disease

Juvenile idiopathic arthritis (JIA), formerly known as juvenile rheumatoid arthritis (JRA), is the most common chronic rheumatic disease of childhood, affecting approximately 3.8 to 400 out of 100,000 children. Juvenile, in this context, refers to disease onset before 16 years of age, while idiopathic refers to a condition with no defined cause, and arthritis is inflammation within the joint.

<span class="mw-page-title-main">Granulomatosis with polyangiitis</span> Autoimmune disease with chronic blood vessel inflammation

Granulomatosis with polyangiitis (GPA), previously known as Wegener's granulomatosis (WG), after the German physician Friedrich Wegener, is a rare long-term systemic disorder that involves the formation of granulomas and inflammation of blood vessels (vasculitis). It is an autoimmune disease and a form of vasculitis that affects small- and medium-size vessels in many organs but most commonly affects the upper respiratory tract, lungs and kidneys. The signs and symptoms of GPA are highly varied and reflect which organs are supplied by the affected blood vessels. Typical signs and symptoms include nosebleeds, stuffy nose and crustiness of nasal secretions, and inflammation of the uveal layer of the eye. Damage to the heart, lungs and kidneys can be fatal.

Mixed connective tissue disease (MCTD) is a systemic autoimmune disease that shares characteristics with at least two other systemic autoimmune diseases, including systemic sclerosis (Ssc), systemic lupus erythematosus (SLE), polymyositis/dermatomyositis (PM/DM), and rheumatoid arthritis. The idea behind the "mixed" disease is that this specific autoantibody is also present in other autoimmune diseases such as systemic lupus erythematosus, polymyositis, scleroderma, etc. MCTD was characterized as an individual disease in 1972 by Sharp et al., and the term was introduced by Leroy in 1980.

A nurse-led clinic is any outpatient clinic that is run or managed by registered nurses, usually nurse practitioners or Clinical Nurse Specialists in the UK. Nurse-led clinics have assumed distinct roles over the years, and examples exist within hospital outpatient departments, public health clinics and independent practice environments.

<span class="mw-page-title-main">Patient education</span>

Patient education is a planned interactive learning process designed to support and enable expert patients to manage their life with a disease and/or optimise their health and well-being.

Adult-onset Still's disease (AOSD) is a form of Still's disease, a rare systemic autoinflammatory disease characterized by the classic triad of fevers, joint pain, and a distinctive salmon-colored bumpy rash. The disease is considered a diagnosis of exclusion. Levels of the iron-binding protein ferritin may be extremely elevated with this disorder. AOSD may present in a similar manner to other inflammatory diseases and to autoimmune diseases, which must be ruled out before making the diagnosis.

<span class="mw-page-title-main">Anti–citrullinated protein antibody</span> Autoantibodies

Anti-citrullinated protein antibodies (ACPAs) are autoantibodies that are directed against peptides and proteins that are citrullinated. They are present in the majority of patients with rheumatoid arthritis. Clinically, cyclic citrullinated peptides (CCP) are frequently used to detect these antibodies in patient serum or plasma.

<span class="mw-page-title-main">Cryopyrin-associated periodic syndrome</span> Medical condition

Cryopyrin-associated periodic syndrome (CAPS) is a group of rare, heterogeneous autoinflammatory disease characterized by interleukin 1β-mediated systemic inflammation and clinical symptoms involving skin, joints, central nervous system, and eyes. It encompasses a spectrum of three clinically overlapping autoinflammatory syndromes including familial cold autoinflammatory syndrome, the Muckle–Wells syndrome (MWS), and neonatal-onset multisystem inflammatory disease that were originally thought to be distinct entities, but in fact share a single genetic mutation and pathogenic pathway, and keratoendotheliitis fugax hereditaria in which the autoinflammatory symptoms affect only the anterior segment of the eye.

Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) is a method for multi-criteria decision making (MCDM) or conjoint analysis, as implemented by decision-making software and conjoint analysis products 1000minds and MeenyMo.

In multiple criteria decision aiding (MCDA), multicriteria classification involves problems where a finite set of alternative actions should be assigned into a predefined set of preferentially ordered categories (classes). For example, credit analysts classify loan applications into risk categories, customers rate products and classify them into attractiveness groups, candidates for a job position are evaluated and their applications are approved or rejected, technical systems are prioritized for inspection on the basis of their failure risk, clinicians classify patients according to the extent to which they have a complex disease or not, etc.

<span class="mw-page-title-main">Antisynthetase syndrome</span> Medical condition

Antisynthetase syndrome (ASS) is a multisystematic autoimmune disease associated with inflammatory myositis, interstitial lung disease, and antibodies directed against various synthetases of aminoacyl-transfer RNA. Other common symptoms include mechanic's hands, Raynaud's phenomenon, arthritis, and fever.

<span class="mw-page-title-main">Systemic-onset juvenile idiopathic arthritis</span> Medical condition

Systemic-onset juvenile idiopathic arthritis (sJIA), also known as Still disease, Still's disease, and systemic juvenile idiopathic arthritis, is a subtype of juvenile idiopathic arthritis (JIA) that is distinguished by arthritis, a characteristic erythematous skin rash, and remitting fever. Fever is a common symptom in patients with sJIA, characterized by sudden temperature rise above 39°C and then a sudden drop. Over 80% of patients have a salmon-colored macular or maculopapular rash, which can be migratory and nonpruritic. Arthritis can develop weeks, months, or even years after onset and can affect various joints. SJIA is characterized by splenic and lymph node enlargements, with prominent symmetrical lymphadenopathy. Pericardial involvement is common, with 81% of children with active systemic symptoms having abnormal echocardiographic findings and 36% having an effusion or pericardial thickening. Around one-third of children with sJIA have occult macrophage activation syndrome (MAS), a potentially fatal illness causing T cells and macrophages to rapidly multiply and activate, resulting in a "cytokine storm."

<span class="mw-page-title-main">Axial spondyloarthritis</span> Medical condition

Axial spondyloarthritis is a chronic, immune-mediated disease predominantly affecting the axial skeleton. The term itself is an umbrella term characterizing a diverse disease family united by shared clinical and genetic features, such as the involvement of the axial skeleton. The 2009 introduced term axial spondyloarthritis is a preferred term nowadays and substitutes the old term ankylosing spondylitis.

Nicola Dalbeth is a New Zealand academic rheumatologist whose research focuses on understanding the impact and mechanisms of gout. She supports clinical and laboratory research programmes and holds dual appointments as a full professor at the University of Auckland and as a consultant for the Auckland District Health Board.

<span class="mw-page-title-main">Josef Smolen</span> Austrian Rheumatologist

Josef Smolen is an Austrian rheumatologist and immunologist and professor emeritus at the Medical University of Vienna. Since 2018 he is chairman emeritus of the Department of Internal Medicine 3 and the Division of Rheumatology at the Medical University of Vienna and Vienna General Hospital and was the chairman of the 2nd Medical Department and Center for Diagnosis and Therapy of Rheumatic Diseases at the Lainz Hospital, now the Hietzing Clinic of the Vienna Health Association from 1989 to 2017.

References

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  6. ↑ "1000minds Limited". New Zealand Companies Office. Retrieved 2023-12-18.
  7. ↑ Fielding, D.; Hansen, P., eds. (August 2016). "Better decision-making!". EcoNZ (37): 7.
  8. ↑ Hansen, P.; Ombler, F. (2008). "A new method for scoring additive multi-attribute value models using pairwise rankings of alternatives". Journal of Multi-Criteria Decision Analysis. 15 (3–4): 87–107. doi:10.1002/mcda.428.
  9. ↑ Scott, L. (April 2008), "Minds over Matter", North and South, pp. 28–29
  10. ↑ "Universities – 1000Minds". 1000Minds. Retrieved 10 July 2017.
  11. ↑ "Dunedin's 1000Minds wins award in Sydney". The National Business Review. 2 May 2007. Archived from the original on 2017-11-10. Retrieved 10 July 2017.
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  15. ↑ Wagstaff, Adam (21 September 2005). "Asian Innovation Awards: contenders stress different ways of thinking". The Asian Wall Street Journal.
  16. ↑ Hansen, Paul; Hendry, Alison; Naden, Ray; Ombler, Franz; Stewart, Ralph (2012). "A new process for creating points systems for prioritising patients for elective health services". Clinical Governance. 17 (3): 200–209. doi:10.1108/14777271211251318.
  17. ↑ Taylor, William J.; Laking, George (2010). "Value for money – recasting the problem in terms of dynamic access prioritisation". Disability & Rehabilitation. 32 (12): 1020–1027. doi:10.3109/09638281003775535. PMID   20380596. S2CID   30265587.
  18. ↑ Gwynne-Jones, David P.; Iosua, Ella E.; Stout, Kirsten M. (1 May 2016). "Rationing for Total Hip and Knee Arthroplasty Using the New Zealand Orthopaedic Association Score: Effectiveness and Comparison With Patient-Reported Scores". The Journal of Arthroplasty. 31 (5): 957–962. doi:10.1016/j.arth.2015.11.022. ISSN   0883-5403. PMID   26944014.
  19. ↑ Fitzgerald, Avril; Spady, Barbara Conner; DeCoster, Carolyn; Naden, Ray; Hawker, Gillian A.; Noseworthy, Thomas (October 2009). "WCWL Rheumatology Priority Referral Score Reliability and Validity Testing". Arthritis & Rheumatism. 60 (Suppl 10): 54. doi:10.1002/art.25137 (inactive 2024-09-18). Archived from the original on 2016-03-03.{{cite journal}}: CS1 maint: DOI inactive as of September 2024 (link)
  20. ↑ Fitzgerald, Avril; de Coster, Carolyn; McMillan, Stewart; Naden, Ray; Armstrong, Fraser; Barber, Alison; Cunning, Les; Conner-Spady, Barbara; Hawker, Gillian; Lacaille, Diane; Lane, Carolyn; Mosher, Dianne; Rankin, Jim; Sholter, Dalton; Noseworthy, Tom (2011). "Relative urgency for referral from primary care to rheumatologists: The Priority Referral Score". Arthritis Care & Research. 63 (2): 231–239. doi:10.1002/acr.20366. ISSN   2151-464X. PMID   20890984. S2CID   205221379.
  21. ↑ White, Douglas; Solanki, Kamal; Quincey, Vicki; Minett, Andrew; Tam, Gordon; Doube, Alan; Naden, Ray (2015). "Development of a Multidimensional Additive Points System for Determining Access to Rheumatology Services". Journal of Clinical Rheumatology. 21 (5): 239–243. doi:10.1097/RHU.0000000000000274. ISSN   1076-1608. PMID   26203827. S2CID   32974482.
  22. ↑ Noseworthy, T; De Coster, C; Naden, R (2009). Priority-setting tools for improving access to medical specialists (PDF). 6th Health Technology Assessment International Annual Meeting. Annals, Academy of Medicine, Singapore. Vol. 38. Singapore. p. S78. Archived from the original (PDF) on 2016-03-03.
  23. ↑ Aletaha, Daniel; Neogi, Tuhina; Silman, Alan J.; Funovits, Julia; Felson, David T.; Bingham, Clifton O.; Birnbaum, Neal S.; Burmester, Gerd R.; Bykerk, Vivian P.; Cohen, Marc D.; Combe, Bernard; Costenbader, Karen H.; Dougados, Maxime; Emery, Paul; Ferraccioli, Gianfranco; Hazes, Johanna M. W.; Hobbs, Kathryn; Huizinga, Tom W. J.; Kavanaugh, Arthur; Kay, Jonathan; Kvien, Tore K.; Laing, Timothy; Mease, Philip; Ménard, Henri A.; Moreland, Larry W.; Naden, Raymond L.; Pincus, Theodore; Smolen, Josef S.; Stanislawska-Biernat, Ewa; Symmons, Deborah; Tak, Paul P.; Upchurch, Katherine S.; Vencovský, Jiří; Wolfe, Frederick; Hawker, Gillian (2010). "2010 Rheumatoid arthritis classification criteria: An American College of Rheumatology/European League Against Rheumatism collaborative initiative". Arthritis & Rheumatism. 62 (9): 2569–2581. doi: 10.1002/art.27584 . hdl:2027.42/78045. ISSN   0004-3591. PMID   20872595. S2CID   23564760.
  24. ↑ Neogi, Tuhina; Aletaha, Daniel; Silman, Alan J.; Naden, Raymond L.; Felson, David T.; Aggarwal, Rohit; Bingham, Clifton O.; Birnbaum, Neal S.; Burmester, Gerd R.; Bykerk, Vivian P.; Cohen, Marc D.; Combe, Bernard; Costenbader, Karen H.; Dougados, Maxime; Emery, Paul; Ferraccioli, Gianfranco; Hazes, Johanna M. W.; Hobbs, Kathryn; Huizinga, Tom W. J.; Kavanaugh, Arthur; Kay, Jonathan; Khanna, Dinesh; Kvien, Tore K.; Laing, Timothy; Liao, Katherine; Mease, Philip; Ménard, Henri A.; Moreland, Larry W.; Nair, Raj; Pincus, Theodore (2010). "The 2010 American College of Rheumatology/European League Against Rheumatism classification criteria for rheumatoid arthritis: Phase 2 methodological report". Arthritis & Rheumatism. 62 (9): 2582–2591. doi:10.1002/art.27580. PMC   3077961 . PMID   20872596.
  25. ↑ Aletaha, Daniel (2015), "Classification of rheumatoid arthritis", in Emery, Paul (ed.), Atlas of Rheumatoid Arthritis, vol. 1, Springer Healthcare, pp. 3–21, doi:10.1007/978-1-907673-91-7_1, ISBN   978-1-907673-90-0
  26. ↑ Van Den Hoogen, F.; Khanna, D.; Fransen, J.; Johnson, S. R.; Baron, M.; Tyndall, A.; Matucci-Cerinic, M.; Naden, R. P.; Medsger, T. A.; Carreira, P. E.; Riemekasten, G.; Clements, P. J.; Denton, C. P.; Distler, O.; Allanore, Y.; Furst, D. E.; Gabrielli, A.; Mayes, M. D.; Van Laar, J. M.; Seibold, J. R.; Czirjak, L.; Steen, V. D.; Inanc, M.; Kowal-Bielecka, O.; Müller-Ladner, U.; Valentini, G.; Veale, D. J.; Vonk, M. C.; Walker, U. A.; et al. (2013). "2013 Classification Criteria for Systemic Sclerosis: An American College of Rheumatology/European League Against Rheumatism Collaborative Initiative". Arthritis & Rheumatism. 65 (11): 2737–2747. doi:10.1002/art.38098. PMC   3930146 . PMID   24122180.
  27. ↑ Van Den Hoogen, F.; Khanna, D.; Fransen, J.; Johnson, S. R.; Baron, M.; Tyndall, A.; Matucci-Cerinic, M.; Naden, R. P.; Medsger, T. A.; Carreira, P. E.; Riemekasten, G.; Clements, P. J.; Denton, C. P.; Distler, O.; Allanore, Y.; Furst, D. E.; Gabrielli, A.; Mayes, M. D.; Van Laar, J. M.; Seibold, J. R.; Czirjak, L.; Steen, V. D.; Inanc, M.; Kowal-Bielecka, O.; Muller-Ladner, U.; Valentini, G.; Veale, D. J.; Vonk, M. C.; Walker, U. A.; et al. (2013). "2013 classification criteria for systemic sclerosis: An American college of rheumatology/European league against rheumatism collaborative initiative". Annals of the Rheumatic Diseases. 72 (11): 1747–55. doi:10.1136/annrheumdis-2013-204424. hdl:2027.42/100304. PMC   3930146 . PMID   24092682. S2CID   44940902.
  28. ↑ Johnson, S. R.; Naden, R. P.; Fransen, J.; Van Den Hoogen, F.; Pope, J. E.; Baron, M.; Tyndall, A.; Matucci-Cerinic, M.; Denton, C. P.; Distler, O.; Gabrielli, A.; Van Laar, J. M.; Mayes, M.; Steen, V.; Seibold, J. R.; Clements, P.; Medsger, T. A.; Carreira, P. E.; Riemekasten, G.; Chung, L.; Fessler, B. J.; Merkel, P. A.; Silver, R.; Varga, J.; Allanore, Y.; Mueller-Ladner, U.; Vonk, M. C.; Walker, U. A.; Cappelli, S.; Khanna, D. (2014). "Multicriteria decision analysis methods with 1000Minds for developing systemic sclerosis classification criteria". Journal of Clinical Epidemiology. 67 (6): 706–14. doi:10.1016/j.jclinepi.2013.12.009. PMC   4134523 . PMID   24721558.
  29. ↑ Pope, Janet E.; Johnson, Sindhu R. (2015). "New Classification Criteria for Systemic Sclerosis (Scleroderma)". Rheumatic Disease Clinics of North America. 41 (3): 383–398. doi:10.1016/j.rdc.2015.04.003. ISSN   0889-857X. PMID   26210125.
  30. ↑ Johnson, Sindhu R. (2015). "New ACR EULAR Guidelines for Systemic Sclerosis Classification". Current Rheumatology Reports. 17 (5): 32. doi:10.1007/s11926-015-0506-3. ISSN   1523-3774. PMID   25874345. S2CID   19695361.
  31. ↑ Neogi, Tuhina; Jansen, Tim L. Th. A.; Dalbeth, Nicola; Fransen, Jaap; Schumacher, H. Ralph; Berendsen, Dianne; Brown, Melanie; Choi, Hyon; Edwards, N. Lawrence; Janssens, Hein J. E. M.; Lioté, Frédéric; Naden, Raymond P.; Nuki, George; Ogdie, Alexis; Perez-Ruiz, Fernando; Saag, Kenneth; Singh, Jasvinder A.; Sundy, John S.; Tausche, Anne-Kathrin; Vaquez-Mellado, Janitzia; Yarows, Steven A.; Taylor, William J. (2015). "2015 Gout Classification Criteria: An American College of Rheumatology/European League Against Rheumatism Collaborative Initiative". Arthritis & Rheumatology. 67 (10): 2557–2568. doi:10.1002/art.39254. ISSN   2326-5191. PMC   4566153 . PMID   26352873.
  32. ↑ Vargas-Santos, Ana Beatriz; Taylor, William J.; Neogi, Tuhina (24 June 2016). "Gout Classification Criteria: Update and Implications". Current Rheumatology Reports. 18 (7): 46. doi:10.1007/s11926-016-0594-8. PMC   4981244 . PMID   27342957.
  33. ↑ Haar, Nienke M. ter; Annink, Kim V.; Al-Mayouf, Sulaiman M.; Amaryan, Gayane; Anton, Jordi; Barron, Karyl S.; Benseler, Susanne M.; Brogan, Paul A.; Cantarini, Luca; Cattalini, Marco; Cochino, Alexis-Virgil; Benedetti, Fabrizio De; Dedeoglu, Fatma; Jesus, Adriana A. De; Alberighi, Ornella Della Casa; Demirkaya, Erkan; Dolezalova, Pavla; Durrant, Karen L.; Fabio, Giovanna; Gallizzi, Romina; Goldbach-Mansky, Raphaela; Hachulla, Eric; Hentgen, Veronique; Herlin, Troels; Hofer, Michaël; Hoffman, Hal M.; Insalaco, Antonella; Jansson, Annette F.; Kallinich, Tilmann; Koné-Paut, Isabelle; Kozlova, Anna; Kuemmerle-Deschner, Jasmin B.; Lachmann, Helen J.; Laxer, Ronald M.; Martini, Alberto; Nielsen, Susan; Nikishina, Irina; Ombrello, Amanda K.; Ozen, Seza; Papadopoulou-Alataki, Efimia; Quartier, Pierre; Rigante, Donato; Russo, Ricardo; Simon, Anna; Trachana, Maria; Uziel, Yosef; Ravelli, Angelo; Gattorno, Marco; Frenkel, Joost (1 May 2017). "Development of the autoinflammatory disease damage index (ADDI)". Annals of the Rheumatic Diseases. 76 (5): 821–830. doi:10.1136/annrheumdis-2016-210092. ISSN   0003-4967. PMC   4597180 . PMID   27811147.
  34. ↑ Kuemmerle-Deschner, Jasmin B.; Ozen, Seza; Tyrrell, Pascal N.; Kone-Paut, Isabelle; Goldbach-Mansky, Raphaela; Lachmann, Helen; Blank, Norbert; Hoffman, Hal M.; Weissbarth-Riedel, Elisabeth; Hugle, Boris; Kallinich, Tilmann; Gattorno, Marco; Gul, Ahmet; Haar, Nienke Ter; Oswald, Marlen; Dedeoglu, Fatma; Cantarini, Luca; Benseler, Susanne M. (1 June 2017). "Diagnostic criteria for cryopyrin-associated periodic syndrome (CAPS)" (PDF). Annals of the Rheumatic Diseases. 76 (6): 942–947. doi:10.1136/annrheumdis-2016-209686. hdl:11365/997711. ISSN   0003-4967. PMID   27707729. S2CID   23147525.
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