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1

Woo, Carolyn Y. Y. Entrepreneurial typology and classification criteria. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1989.

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2

Constantin, Zopounidis, ed. Multicriteria decision aid classification methods. Dordrecht: Kluwer Academic Publishers, 2002.

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3

Noble, Elizabeth B. Classification Pamlico Sound nursery areas: Recommendations for critical habitat criteria. Morehead City, NC (P.O. Box 769, Morehead City 28557): North Carolina Dept. of Environment, Health, and Natural Resources, Division of Marine Fisheries, 1991.

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4

Doumpos, Michael. Multicriteria decision aid classification methods. Dordrecht: Kluwer Academic Publishers, 2002.

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5

Webb, T. H. Criteria for defining the soil family and soil sibling: The fourth and fifth categories of the New Zealand Soil Classification. 2nd ed. Lincoln, N.Z: Manaaki Whenua Press, Landcare Research, 2011.

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6

Lin, Chuan-Ju. Effects of item-selection criteria on classification testing with the sequential probability ratio test. Iowa City, Iowa: ACT, Inc., 2000.

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7

Lin, Chuan-Ju. Effects of item-selection criteria on classification testing with the sequential probability ratio test. Iowa City, Iowa: ACT, Inc., 2000.

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8

Lin, Chuan-Ju. Effects of item-selection criteria on classification testing with the sequential probability ratio test. Iowa City, Iowa: ACT, Inc., 2000.

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9

Smith, Gregory M., Jonathan Chun, Anatoly Nemzer, and Bob Richard. Test Procedures and Classification Criteria for Release of Toxic Gases from Water-Reactive Materials. Washington, D.C.: Transportation Research Board, 2014. http://dx.doi.org/10.17226/22276.

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10

Petti, Cathy A. Interpretive criteria for identification of bacteria and fungi by DNA target sequencing: Approved guideline. Wayne, PA: Clinical and Laboratory Standards Institute, 2008.

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11

Ministry, of Agriculture Fisheries and Food. Agricultural land classification of England & Wales: Revised guidelines and criteria for grading the quality of agricultural landt October 1988. London: Ministry of Agriculture, Fisheries & Food, 1988.

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12

Ministry of Agriculture, Fisheries and Food. Agricultural land classification of England & Wales: Revised guidelines and criteria for grading the quality of agricultural land : consultation draft (February 1988). London: Ministry of Agriculture, Fisheries & Food, 1988.

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13

Spray, Judith A. Multiple-category classification using a sequential probability ratio test. Iowa City, Iowa: American College Testing Program, 1993.

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14

Spray, Judith A. Multiple-category classification using a sequential probability ratio test. Iowa City, Iowa: American College Testing Program, 1993.

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15

O'Reilly, Karen. Criterion validation of a proposed revision of government social classifications. Colchester: ESRC Research Centre on Micro-social Change, 1997.

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16

Coxon, Anthony P. M. Criterion validity and occupational classification: The seven economic relations and the NS-SEC. Colchester: Institute for Social and Economic Research, 1999.

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17

Coates, Laura C., and William J. Taylor. Diagnosis and classification criteria. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198737582.003.0020.

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This chapter covers diagnosis and classification of psoriatic arthritis (PsA). Firstly the difference between diagnosis and classification criteria in terms of their design, function, and performance is discussed. The diagnostic clues of PsA are summarized: risk factors for development of arthritis amongst patients with psoriasis, signs, and symptoms of articular, entheseal and axial disease, and relevant investigations. Older classification criteria for PsA are discussed along with later modifications. The development of the CASPAR criteria is described and subsequent studies assessing the accuracy of the CASPAR criteria in different populations are then summarized. How PsA fits within the broader family of spondyloarthritides (SpA) and the performance of CASPAR compared to SpA criteria is outlined. Different subtypes of PsA, as well as the evolution of individual patients through subtypes over time, are described. Finally future proposals to develop the ‘stem’ of CASPAR to define ‘inflammatory articular, entheseal or axial disease’ are summarized.
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18

Tjärnlund, Anna, and Ingrid E. Lundberg. Diagnostic and classification criteria. Edited by Hector Chinoy and Robert Cooper. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198754121.003.0002.

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Diagnosis of idiopathic inflammatory myopathies (IIM) is based on clinical features such as subacute progress of symmetrical weakness of proximal muscle and muscle fatigue, in combination with laboratory confirmation of myopathy, including elevated muscle enzyme levels in serum and histological demonstration of skeletal muscle inflammation, as well as fibre regeneration and degeneration in muscle biopsies. Several classification criteria for IIM have historically been proposed. New classification criteria for IIM have been developed, and are based on real patient data from adult and juvenile IIM cases worldwide. These criteria provide a probability of having IIM with defined cut-off values for categorizing ‘possible’, ‘probable’, and ‘definite’ IIM. Autoantibodies in IIM are becoming increasingly important for diagnosis and classification, and newly identified autoantibodies specific for inclusion body myositis may provide a future diagnostic tool.
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19

Siebert, Stefan, Sengupta Raj, and Alexander Tsoukas. Classification criteria and diagnosis in spondyloarthritis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198755296.003.0012.

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The spondyloarthropathies (SpA) are heterogeneous multisystem disorders with no single ‘gold standard’ clinical, laboratory, pathological or radiological feature to confirm the diagnosis. A number of criteria have therefore been developed to support clinical practice and research. In this chapter, we highlight the important differences between classification and diagnostic criteria, which are often confused although they have very different applications. We then review some of the major SpA classification criteria including the modified New York criteria for ankylosing spondylitis (AS), the Amor and ESSG criteria for SpA, and the ASAS criteria for axial spondyloarthritis (axSpA). The evolution of these classification criteria has facilitated many significant advances in the field of axSpA and SpA in general. Specifically, the development of classification criteria for axSpA that do not rely on established radiographic damage has allowed biologic therapies to be investigated, and used, in earlier disease and for a wider population of patients.
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20

American Psychiatric Association. Task Force on DSM-IV., ed. DSM-IV draft criteria. Washington, D.C: The Association, 1993.

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21

American Psychiatric Association. Dsm-IV Draft Criteria. Amer Psychiatric Pub, 1993.

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22

Zopounidis, C., and M. Doumpos. Multicriteria Decision Aid Classification Methods (Applied Optimization). Springer, 2002.

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23

Association, American Psychiatric, ed. Desk reference to the diagnostic criteria from DSM-III-R. Washington, DC: American Psychiatric Association, 1987.

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24

Educational Resources Information Center (U.S.), ed. State criteria for determining disproportionality: Quick Turn Around (QTA). [Alexandria, VA: National Association of State Directors of Special Education, Inc., 2002.

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25

Rohde, Luis Augusto, Christian Kieling, and Giovanni Abrahão Salum. Current diagnostic criteria. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198739258.003.0014.

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In this chapter we describe the history of ADHD diagnosis and how it is currently conceptualized in two main classificatory manuals: the Diagnostic and Statistical Manual for the Mental Disorders (DSM) and the International Classification of Diseases (ICD). We also outline differences between DSM and ICD manuals and review discussions in the realm of the 11th edition of the ICD, in its journey to increase clinical utility. Lastly, we discuss the research domain criteria and how this initiative might affect ADHD diagnosis in the future. We conclude by offering a perspective that acknowledges both the limitations of our current classificatory systems, but also points out their paramount importance to clinical practice. ADHD, as currently defined by DSM and ICD, is a well validated clinical category and a useful diagnosis for communication among practitioners, researchers, and for selecting treatments and care for patients.
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26

Tanislav, Christian, and Manfred Kaps. Classification. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198722366.003.0003.

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The classification of a cerebrovascular event distils information obtained in the workup and other related case history to a category indicating a specific pathophysiology, with direct implications for the subsequent secondary prevention management. A minimum standard of diagnostics is required for a precise classification. In young stroke victims, the conventional Trial of Org 10172 in Acute Stroke Treatment (TOAST) stroke subtype classification may only address the aetiopathogenesis in 30–60% of the individuals who are affected by vascular risk factors. Applying the criteria defined by TOAST for large-artery atherosclerosis, cardioembolism, and small artery disease is reliable for young stroke victims as verified in many clinical investigations. However, in a considerable proportion of stroke patients, the stroke aetiology remains unclear. For this group, some patients need to be treated in a particular manner, such as those with two or more possible aetiologies or those with suspected paradoxical embolism. In patients remaining purely cryptogenic despite an extensive diagnostic workup, imaging findings may help to identify potential triggers, particularly when an embolic infarction pattern in the acute brain imaging is obvious. Despite its shortcomings, the TOAST classification is the most universally used classification in ischaemic stroke patients. New developments in the field are addressed in this chapter and aspects are incorporated for the nominated classification adapted for the specific group of young stroke patients.
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27

Association, American Psychiatric, ed. Diagnostic criteria from DSM-IV. Washington, D.C: The Association, 1994.

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28

International Headache Society. Headache Classification Committee., ed. Classification and diagnostic criteria for headache disorders, cranial neuralgias and facial pain. Oslo: Universitetsforlaget AS, 1988.

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29

Association, American Psychiatric, ed. Diagnostic criteria from DSM-IV-TR. Washington, D.C: The Association, 2000.

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30

Organization, World Health, ed. The ICD-10 classification of mental and behavioural disorders: Diagnostic criteria for research. Geneva: World Health Organization, 1993.

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31

Watts, Richard A., and David G. I. Scott. Vasculitis—classification and diagnosis. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0130.

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The vasculitides are a group of conditions characterized by inflammation and necrosis of blood vessels; they are generally of unknown aetiology. The classification of vasculitides is based on the size of vessel involved and whether there is a known cause (secondary) or not (primary). This approach has stood the test of time. The American College of Rheumatology (ACR) in 1990 produced classification criteria for the major types of vasculitis and in 1994 definitions were promulgated by the Chapel Hill Consensus Conference. These did not include anti-neutrophil cytoplasm antibodies (ANCA) and the ACR scheme did not include microscopic polyangiitis. The definitions have recently been updated to include modern concepts of pathogenesis including ANCA. No validated diagnostic criteria are available for routine clinical practice. The diagnosis of vasculitis requires a high index of suspicion, especially in the systemically unwell patient with multiorgan involvement. The key to diagnosis is a detailed and systematic approach to patient assessment involving all potentially involved organs. In a patient with suspected vasculitis immediate urinalysis is mandatory as the severity of renal involvement at presentation is a major determinant of outcome. Each potentially involved organ should be comprehensively evaluated. Tissue biopsy should be obtained whenever possible, as treatment is potentially toxic using glucocorticoids combined with cytotoxic agents. Biopsy should not, however, delay initiation of treatment. Potential alternative diagnosis should be considered, especially infection and malignancy, and excluded whenever possible.
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32

Association, American Psychiatric, ed. Diagnostic criteria from DSM-III-R. Washington, DC: American Psychiatric Association, 1987.

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33

P, Berner, and World Psychiatric Association, eds. Diagnostic criteria for functional psychoses. 2nd ed. Cambridge [England]: Cambridge University Press, 1992.

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34

Isbell, R. Australian Soil Classification. CSIRO Publishing, 2016. http://dx.doi.org/10.1071/9781486304646.

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The Australian Soil Classification provides a framework for organising knowledge about Australian soils by allocating soils to classes via a key. Since its publication in 1996, this book has been widely adopted and formally endorsed as the official national system. It has provided a means of communication among scientists and land managers and has proven to be of particular value in land resource survey and research programs, environmental studies and education. Classification is a basic requirement of all science and needs to be periodically revised as knowledge increases. This Second Edition of The Australian Soil Classification includes updates from a working group of the National Committee on Soil and Terrain (NCST), especially in regards to new knowledge about acid sulfate soils (sulfidic materials). Modifications include expanding the classification to incorporate different kinds of sulfidic materials, the introduction of subaqueous soils as well as new Vertosol subgroups, new Hydrosol family criteria and the consistent use of the term reticulate. All soil orders except for Ferrosols and Sodosols are affected by the changes.
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35

J, Knapp Deirdre, Sager Christopher E, Tremble Trueman R, and U.S. Army Research Institute for the Behavioral and Social Sciences., eds. Development of experimental Army enlisted personnel selection and classification tests and job performance criteria. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, [2005], 2005.

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36

United States. Environmental Protection Agency. Office of Air Quality Planning and Standards, ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Research Triangle Park, NC: Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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37

United States. Environmental Protection Agency. Office of Air Quality Planning and Standards., ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Research Triangle Park, NC: Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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38

United States. Environmental Protection Agency. Office of Air Quality Planning and Standards., ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Research Triangle Park, NC: Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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39

FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Research Triangle Park, NC: Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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40

United States. Environmental Protection Agency. Office of Air Quality Planning and Standards, ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Research Triangle Park, NC: Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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41

United States. Environmental Protection Agency. Office of Air Quality Planning and Standards, ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Research Triangle Park, NC: Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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42

United States. Environmental Protection Agency. Office of Air Quality Planning and Standards., ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Research Triangle Park, NC: Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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43

Muris, Peter. Classification and Diagnosis of Psychopathology. Edited by Thomas H. Ollendick, Susan W. White, and Bradley A. White. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190634841.013.4.

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This chapter deals with the classification and diagnosis of psychopathology in children and adolescents. An overview is given of the most prevalent mental health problems in youth that can be classified according to the Diagnostic and Statistical Manual of Mental Disorders (DSM). Methods are then described that can be employed to classify psychopathology in youth in terms of DSM nomenclature. Next, the pros and cons of the DSM classification system are discussed, after which a number of alternative ways that can be employed to classify psychopathology are addressed. These include the Research Domain Criteria framework and the complex network approach.
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44

Martin, Dolgin, and New York Heart Association. Criteria Committee., eds. Nomenclature and criteria for diagnosis of diseases of the heart and great vessels. 9th ed. Boston: Little, Brown, 1994.

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45

Cuthbert, Bruce N. The Nimh Research Domain Criteria Project. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0071.

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The Research Domain Criteria (RDoC) project grew from recognized deficiencies in currently used diagnostic schemes for mental illness, such as the Diagnostic and Statistical Manual of Mental Disorders (DSM). While the latter is based on a series of signs and symptoms of illnesses that can co-occur in groups of individuals, without consideration of underlying biological factors, RDoC is based on the increasing ability to relate normal as well as abnormal behavior to particular molecules and circuits in the brain across animal species and humans. Behavioral domains include negative valence systems (e.g., fear and anxiety), positive valence systems (e.g., reward and motivation), cognitive systems, social processes, and arousal and regulatory systems, several of which might be affected in a given DSM disease classification. RDoC is seen as a step toward a “precision psychiatry,” where increasing knowledge of the genetic, molecular, cellular, and circuit basis of mental illness will yield biologically based diagnoses that offer important pathophysiological, treatment, and prognostic implications.
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46

Rudwaleit, Martin, and Atul Deodhar. Diagnosis, classification, and management of peripheral spondyloarthritis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198734444.003.0004.

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Spondyloarthritis (SpA) can affect the axial skeleton (axSpA) but also manifest as peripheral arthritis, enthesitis, and dactylitis (peripheral SpA). Peripheral SpA can occur after bacterial infections (reactive arthritis) or be associated with psoriasis or inflammatory bowel disease. The arthritis is usually asymmetric, affects predominantly the lower extremity, and can be self-limiting but can also run a chronic course. The frequency of HLA-B27 is around 50% in purely peripheral SpA, while it is 70–90% in axSpA. For classification, the Amor, ESSG, or more recent ASAS criteria for peripheral SpA can be used. The ASAS criteria are likely to capture early peripheral SpA better than the other two. Therapy includes NSAIDs, local steroid injections, and synthetic disease-modifying antirheumatic drugs, of which sulfasalazine is best studied and the preferred drug for peripheral arthritis. A recent, placebo-controlled clinical trial with adalimumab may lead to the first approval of a biologic in peripheral SpA.
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47

Gordon, Kathryn H., Jill M. Holm-Denoma, Valerie J. Douglas, Ross Crosby, and Stephen A. Wonderlich. The Classification of Eating Disorders. Edited by W. Stewart Agras and Athena Robinson. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190620998.013.1.

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The purpose of this chapter is to elucidate the key issues regarding the classification of eating disorders. To this end, a review of nosological research in the area of eating disorders is presented, with a particular focus on empirically based techniques such as taxometric analysis, latent class analysis, and factor mixture modeling. This is followed by a section outlining areas of overlap between the current Diagnostic and Statistical Manual of Mental Disorders–Fifth Edition (DSM-5) eating disorder categories and their symptoms. Next, eating disorder classification models that are alternatives to the DSM-5 are described and critically examined in light of available empirical data. Finally, areas of controversy and considerations for change in next version of the DSM (i.e., the applicability of DSM criteria to minority groups, children, and males; the question of whether clinical categories should be differentiated from research categories) are discussed.
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48

Desk Reference To The Diagnostic Criteria From Dsm5. American Psychiatric Publishing, 2013.

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49

Phillips, Katharine A. Classification of Body Dysmorphic Disorder and Relevance for Patient Care. Edited by Katharine A. Phillips. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190254131.003.0004.

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The classification of body dysmorphic disorder (BDD) in the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM) has evolved over the decades. This chapter discusses these changes and highlights their relevance to patient care. BDD was first briefly mentioned in DSM-III (1980). DSM-III-R (1987) was the first edition of DSM to classify BDD as a separate disorder and provide diagnostic criteria. The most notable changes introduced in DSM-IV (1994) and DSM-5 (2013) were the addition of a clinical significance criterion to DSM-IV and the addition of a repetitive behaviors criterion, as well as specifiers for insight and muscle dysmorphia, in DSM-5. Earlier editions of DSM classified delusional BDD symptoms as a distinct psychotic disorder, whereas DSM-5 classifies such beliefs as BDD with the absent insight specifier and as the same disorder as nondelusional BDD. DSM-5 also moved BDD to a new chapter; it is now classified as an obsessive-compulsive and related disorder rather than a somatoform disorder. This change has important implications for how BDD is conceptualized.
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50

Association, American Psychiatric, ed. Diagnostic criteria from DSM-IV-TR. Washington, D.C: American Psychiatric Association, 2000.

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