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Sökning: WFRF:(Dobrosavljevic Maja 1986 ) > (2024) > Individualized pred...

Individualized prediction models in ADHD : a systematic review and meta-regression

Salazar de Pablo, Gonzalo (författare)
Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK; Institute of Psychiatry and Mental Health. Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
Iniesta, Raquel (författare)
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK; King's Institute for Artificial Intelligence, King's College London, London, UK
Bellato, Alessio (författare)
School of Psychology, University of Nottingham, Nottingham, Malaysia; Centre for Innovation in Mental Health-Developmental Lab, School of Psychology, University of Southampton, Southampton, UK; School of Psychology, University of Southampton, Southampton, UK
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Caye, Arthur (författare)
Post-Graduate Program of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; National Center for Research and Innovation (CISM), University of São Paulo, São Paulo, Brazil; ADHD Outpatient Program, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
Dobrosavljevic, Maja, 1986- (författare)
Örebro universitet,Institutionen för medicinska vetenskaper
Parlatini, Valeria (författare)
Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Centre for Innovation in Mental Health-Developmental Lab, School of Psychology, University of Southampton, Southampton, UK; School of Psychology, University of Southampton, Southampton, UK; Solent NHS Trust, Southampton, UK
Garcia-Argibay, Miguel, 1988- (författare)
Örebro universitet,Institutionen för medicinska vetenskaper,Centre for Innovation in Mental Health-Developmental Lab, School of Psychology, University of Southampton, Southampton, UK; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Li, Lin, 1989- (författare)
School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Cabras, Anna (författare)
Department of Neurology and Psychiatry, University of Rome La Sapienza, Rome, Italy
Haider Ali, Mian (författare)
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK
Archer, Lucinda (författare)
Institute of Applied Health Research, University of Birmingham, Birmingham, UK; National Institute for Health and Care Research (NIHR), Birmingham Biomedical Research Centre, Birmingham, UK
Meehan, Alan J. (författare)
Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA
Suleiman, Halima (författare)
Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, Syracuse, NY, USA
Solmi, Marco (författare)
Centre for Innovation in Mental Health-Developmental Lab, School of Psychology, University of Southampton, Southampton, UK; Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada; Department of Mental Health, The Ottawa Hospital, Ottawa, ON, Canada; Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa, Ontario, ON, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
Fusar-Poli, Paolo (författare)
Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Outreach and Support in South-London (OASIS) service, South London and Maudsley NHS Foundation Trust, London, UK; Department of Psychiatry and Psychotherapy, University Hospital, Ludwig-Maximilian-University (LMU), Munich, Germany
Chang, Zheng (författare)
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Faraone, Stephen V. (författare)
Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, Syracuse, NY, USA
Larsson, Henrik, 1975- (författare)
Örebro universitet,Institutionen för medicinska vetenskaper,School of Psychology, University of Southampton, Southampton, UK; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Cortese, Samuele (författare)
Solent NHS Trust, Southampton, UK; Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK; Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York City, NY, USA; DiMePRe-J-Department of Precision and Rigenerative Medicine-Jonic Area, University of Bari "Aldo Moro", Bari, Italy
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Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK; Institute of Psychiatry and Mental Health Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK; King's Institute for Artificial Intelligence, King's College London, London, UK (creator_code:org_t)
2024
2024
Engelska.
Ingår i: Molecular Psychiatry. - : Springer. - 1359-4184 .- 1476-5578.
  • Forskningsöversikt (refereegranskat)
Abstract Ämnesord
Stäng  
  • There have been increasing efforts to develop prediction models supporting personalised detection, prediction, or treatment of ADHD. We overviewed the current status of prediction science in ADHD by: (1) systematically reviewing and appraising available prediction models; (2) quantitatively assessing factors impacting the performance of published models. We did a PRISMA/CHARMS/TRIPOD-compliant systematic review (PROSPERO: CRD42023387502), searching, until 20/12/2023, studies reporting internally and/or externally validated diagnostic/prognostic/treatment-response prediction models in ADHD. Using meta-regressions, we explored the impact of factors affecting the area under the curve (AUC) of the models. We assessed the study risk of bias with the Prediction Model Risk of Bias Assessment Tool (PROBAST). From 7764 identified records, 100 prediction models were included (88% diagnostic, 5% prognostic, and 7% treatment-response). Of these, 96% and 7% were internally and externally validated, respectively. None was implemented in clinical practice. Only 8% of the models were deemed at low risk of bias; 67% were considered at high risk of bias. Clinical, neuroimaging, and cognitive predictors were used in 35%, 31%, and 27% of the studies, respectively. The performance of ADHD prediction models was increased in those models including, compared to those models not including, clinical predictors (β = 6.54, p = 0.007). Type of validation, age range, type of model, number of predictors, study quality, and other type of predictors did not alter the AUC. Several prediction models have been developed to support the diagnosis of ADHD. However, efforts to predict outcomes or treatment response have been limited, and none of the available models is ready for implementation into clinical practice. The use of clinical predictors, which may be combined with other type of predictors, seems to improve the performance of the models. A new generation of research should address these gaps by conducting high quality, replicable, and externally validated models, followed by implementation research.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Psykiatri (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Psychiatry (hsv//eng)

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