Autism and classification systems: a study of 84 children
Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better descr...
Ausführliche Beschreibung
Autor*in: |
Chiappedi, Matteo [verfasserIn] |
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E-Artikel |
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Englisch |
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2010 |
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Anmerkung: |
© Chiappedi et al; licensee BioMed Central Ltd. 2010 |
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Übergeordnetes Werk: |
Enthalten in: The Italian journal of pediatrics - London : BioMed Central, 2008, 36(2010), 1 vom: 29. Jan. |
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Übergeordnetes Werk: |
volume:36 ; year:2010 ; number:1 ; day:29 ; month:01 |
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DOI / URN: |
10.1186/1824-7288-36-10 |
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Katalog-ID: |
SPR029704758 |
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520 | |a Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). Methods We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. Results We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. Conclusions To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. | ||
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10.1186/1824-7288-36-10 doi (DE-627)SPR029704758 (SPR)1824-7288-36-10-e DE-627 ger DE-627 rakwb eng Chiappedi, Matteo verfasserin aut Autism and classification systems: a study of 84 children 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chiappedi et al; licensee BioMed Central Ltd. 2010 Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). Methods We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. Results We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. Conclusions To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. Autism Spectrum Disorder (dpeaa)DE-He213 Operational Classification (dpeaa)DE-He213 Visual Evoke Potential (dpeaa)DE-He213 Autistic Disorder (dpeaa)DE-He213 Pervasive Developmental Disorder (dpeaa)DE-He213 Rossi, Giorgio aut Rossi, Maura aut Bejor, Maurizio aut Balottin, Umberto aut Enthalten in The Italian journal of pediatrics London : BioMed Central, 2008 36(2010), 1 vom: 29. Jan. (DE-627)352108029 (DE-600)2084688-5 1824-7288 nnns volume:36 year:2010 number:1 day:29 month:01 https://dx.doi.org/10.1186/1824-7288-36-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2010 1 29 01 |
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10.1186/1824-7288-36-10 doi (DE-627)SPR029704758 (SPR)1824-7288-36-10-e DE-627 ger DE-627 rakwb eng Chiappedi, Matteo verfasserin aut Autism and classification systems: a study of 84 children 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chiappedi et al; licensee BioMed Central Ltd. 2010 Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). Methods We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. Results We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. Conclusions To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. Autism Spectrum Disorder (dpeaa)DE-He213 Operational Classification (dpeaa)DE-He213 Visual Evoke Potential (dpeaa)DE-He213 Autistic Disorder (dpeaa)DE-He213 Pervasive Developmental Disorder (dpeaa)DE-He213 Rossi, Giorgio aut Rossi, Maura aut Bejor, Maurizio aut Balottin, Umberto aut Enthalten in The Italian journal of pediatrics London : BioMed Central, 2008 36(2010), 1 vom: 29. Jan. (DE-627)352108029 (DE-600)2084688-5 1824-7288 nnns volume:36 year:2010 number:1 day:29 month:01 https://dx.doi.org/10.1186/1824-7288-36-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2010 1 29 01 |
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10.1186/1824-7288-36-10 doi (DE-627)SPR029704758 (SPR)1824-7288-36-10-e DE-627 ger DE-627 rakwb eng Chiappedi, Matteo verfasserin aut Autism and classification systems: a study of 84 children 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chiappedi et al; licensee BioMed Central Ltd. 2010 Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). Methods We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. Results We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. Conclusions To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. Autism Spectrum Disorder (dpeaa)DE-He213 Operational Classification (dpeaa)DE-He213 Visual Evoke Potential (dpeaa)DE-He213 Autistic Disorder (dpeaa)DE-He213 Pervasive Developmental Disorder (dpeaa)DE-He213 Rossi, Giorgio aut Rossi, Maura aut Bejor, Maurizio aut Balottin, Umberto aut Enthalten in The Italian journal of pediatrics London : BioMed Central, 2008 36(2010), 1 vom: 29. Jan. (DE-627)352108029 (DE-600)2084688-5 1824-7288 nnns volume:36 year:2010 number:1 day:29 month:01 https://dx.doi.org/10.1186/1824-7288-36-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2010 1 29 01 |
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10.1186/1824-7288-36-10 doi (DE-627)SPR029704758 (SPR)1824-7288-36-10-e DE-627 ger DE-627 rakwb eng Chiappedi, Matteo verfasserin aut Autism and classification systems: a study of 84 children 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chiappedi et al; licensee BioMed Central Ltd. 2010 Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). Methods We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. Results We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. Conclusions To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. Autism Spectrum Disorder (dpeaa)DE-He213 Operational Classification (dpeaa)DE-He213 Visual Evoke Potential (dpeaa)DE-He213 Autistic Disorder (dpeaa)DE-He213 Pervasive Developmental Disorder (dpeaa)DE-He213 Rossi, Giorgio aut Rossi, Maura aut Bejor, Maurizio aut Balottin, Umberto aut Enthalten in The Italian journal of pediatrics London : BioMed Central, 2008 36(2010), 1 vom: 29. Jan. (DE-627)352108029 (DE-600)2084688-5 1824-7288 nnns volume:36 year:2010 number:1 day:29 month:01 https://dx.doi.org/10.1186/1824-7288-36-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2010 1 29 01 |
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10.1186/1824-7288-36-10 doi (DE-627)SPR029704758 (SPR)1824-7288-36-10-e DE-627 ger DE-627 rakwb eng Chiappedi, Matteo verfasserin aut Autism and classification systems: a study of 84 children 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chiappedi et al; licensee BioMed Central Ltd. 2010 Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). Methods We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. Results We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. Conclusions To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. Autism Spectrum Disorder (dpeaa)DE-He213 Operational Classification (dpeaa)DE-He213 Visual Evoke Potential (dpeaa)DE-He213 Autistic Disorder (dpeaa)DE-He213 Pervasive Developmental Disorder (dpeaa)DE-He213 Rossi, Giorgio aut Rossi, Maura aut Bejor, Maurizio aut Balottin, Umberto aut Enthalten in The Italian journal of pediatrics London : BioMed Central, 2008 36(2010), 1 vom: 29. Jan. (DE-627)352108029 (DE-600)2084688-5 1824-7288 nnns volume:36 year:2010 number:1 day:29 month:01 https://dx.doi.org/10.1186/1824-7288-36-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2010 1 29 01 |
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Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). Methods We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. Results We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. Conclusions To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. © Chiappedi et al; licensee BioMed Central Ltd. 2010 |
abstractGer |
Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). Methods We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. Results We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. Conclusions To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. © Chiappedi et al; licensee BioMed Central Ltd. 2010 |
abstract_unstemmed |
Background A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). Methods We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. Results We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. Conclusions To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. © Chiappedi et al; licensee BioMed Central Ltd. 2010 |
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score |
7.401602 |