2024
Cognitive performance in functional seizures compared with epilepsy and healthy controls: a systematic review and meta analysis
Van Patten R, Austin T, Cotton E, Chan L, Bellone J, Mordecai K, Altalib H, Correia S, Twamley E, Jones R, Sawyer K, LaFrance W. Cognitive performance in functional seizures compared with epilepsy and healthy controls: a systematic review and meta analysis. The Lancet Psychiatry 2024, 11: 516-525. PMID: 38879275, DOI: 10.1016/s2215-0366(24)00132-9.Peer-Reviewed Original ResearchConceptsRisk of biasSystematic reviewHealthy comparisonGlobal cognitionMeta-analysisCognitive performanceDepartment of Veterans AffairsVeterans Health AdministrationFunctional seizuresIndividual studiesCognitive domainsModerate effect sizeProportion of womenNewcastle-Ottawa ScaleLeft Temporal Lobe EpilepsyWeb of ScienceCognitive test dataWidespread cognitive impairmentVeterans AffairsEffects of multiple covariatesHealth AdministrationGrey literatureSeizure groupNewcastle-OttawaInclusion criteria
2021
Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study
Nichols E, Abd-Allah F, Abdoli A, Abualhasan A, Abu-Gharbieh E, Afshin A, Akinyemi R, Alanezi F, Alipour V, Almasi-Hashiani A, Arabloo J, Ashraf-Ganjouei A, Ayano G, Ayuso-Mateos J, Baig A, Banach M, Barboza M, Barker-Collo S, Baune B, Bhagavathula A, Bhattacharyya K, Bijani A, Biswas A, Boloor A, Brayne C, Brenner H, Burkart K, Nagaraja S, Carvalho F, Castro-de-Araujo L, Catalá-López F, Cerin E, Cherbuin N, Chu D, Dai X, de Sá-Junior A, Djalalinia S, Douiri A, Edvardsson D, El-Jaafary S, Eskandarieh S, Faro A, Farzadfar F, Feigin V, Fereshtehnejad S, Fernandes E, Ferrara P, Filip I, Fischer F, Gaidhane S, Galluzzo L, Gebremeskel G, Ghashghaee A, Gialluisi A, Gnedovskaya E, Golechha M, Gupta R, Hachinski V, Haider M, Haile T, Hamiduzzaman M, Hankey G, Hay S, Heidari G, Heidari-Soureshjani R, Ho H, Househ M, Hwang B, Iacoviello L, Ilesanmi O, Ilic I, Ilic M, Irvani S, Iwagami M, Iyamu I, Jha R, Kalani R, Karch A, Kasa A, Khader Y, Khan E, Khatib M, Kim Y, Kisa S, Kisa A, Kivimäki M, Koyanagi A, Kumar M, Landires I, Lasrado S, Li B, Lim S, Liu X, Kunjathur S, Majeed A, Malik P, Mehndiratta M, Menezes R, Mohammad Y, Mohammed S, Mokdad A, Moni M, Nagel G, Naveed M, Nayak V, Nguyen C, Nguyen H, Nunez-Samudio V, Olagunju A, Ostroff S, Otstavnov N, Owolabi M, Kan F, Patel U, Phillips M, Piradov M, Pond C, Pottoo F, Prada S, Radfar A, Rahim F, Rana J, Rashedi V, Rawaf S, Rawaf D, Reinig N, Renzaho A, Rezaei N, Rezapour A, Romoli M, Roshandel G, Sachdev P, Sahebkar A, Sahraian M, Samaei M, Saylan M, Sha F, Shaikh M, Shibuya K, Shigematsu M, Shin J, Shiri R, Silva D, Singh J, Singhal D, Skryabin V, Skryabina A, Soheili A, Sotoudeh H, Spurlock E, Szoeke C, Tabarés-Seisdedos R, Taddele B, Tovani-Palone M, Tsegaye G, Vacante M, Venketasubramanian N, Vidale S, Vlassov V, Vu G, Wang Y, Weiss J, Weldemariam A, Westerman R, Wimo A, Winkler A, Wu C, Yadollahpour A, Yesiltepe M, Yonemoto N, Yu C, Zastrozhin M, Zastrozhina A, Zhang Z, Murray C, Vos T. Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study. BMC Medical Informatics And Decision Making 2021, 21: 241. PMID: 34380485, PMCID: PMC8356410, DOI: 10.1186/s12911-021-01590-y.Peer-Reviewed Original ResearchConceptsDementia prevalenceEstimate dementia prevalenceHealth and Retirement SurveyFunction scoresItem response theory methodsNationally Representative SurveyLogistic regression modelsDementia burdenDementia statusCognitive test dataFunctional limitationsPrevalence predictionsTwo-dimensional item response theory modelRepresentative surveyNational surveyWave AItem response theory modelsRegression modelsPrevalenceHRS samplesADAM studyValidation sampleClinical adjudicationSurveyResource-intensive
2004
Behavioral and learning problems in schoolchildren related to cognitive test data
Volkmar, Klin A. Behavioral and learning problems in schoolchildren related to cognitive test data. Acta Paediatrica 2004, 93: 872-873. DOI: 10.1111/j.1651-2227.2004.tb02682.x.Peer-Reviewed Original ResearchHigh functioning childrenCognitive test dataDisorders of learningCluster analytic approachMental health problemsFunctioning childrenDisorders of behaviorBehavioral difficultiesIQ scoresBehavioral problemsSocial interactionDevelopmental statusChildrenPotential overlapDiagnostic validityLearningAnalytic approachFurther researchDisordersHealth problemsComplex interactionsValidityDifficultiesLarge groupScores
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