DIAGNOSTIC TEST USING NEUROLOGICAL DEPRESSION DISORDERS INVENTORY FOR EPILEPSY COMPARED TO HAMILTON DEPRESSION RATING SCALE -17 AS A GOLD STANDARD

2020 ◽  
Vol 24 (02) ◽  
pp. 4020-4029
Author(s):  
Andi Prasetiawan ◽  
Kurnia Kusumastuti
2018 ◽  
Vol 64 (1) ◽  
pp. 39-46 ◽  
Author(s):  
Erik Vindbjerg ◽  
Guido Makransky ◽  
Erik Lykke Mortensen ◽  
Jessica Carlsson

Objective: The Hamilton Depression Rating Scale (HDRS) is considered the gold standard measure of depression. The factor structure of the HDRS is generally unstable, but 4 to 8 items appear to form a general depression factor. As transcultural studies of the HDRS have received little attention, and as most of the studies have taken a data-driven approach with a tendency to yield fragmented results, it is not clear if an HDRS general depression factor can also be found in non-Western populations. This is an important issue in deciding on the appropriateness of the scale as a gold standard in transcultural psychiatry. Method: A systematic review was carried out to compare previously reported factor structures of the HDRS in non-Western cultures. Overlapping clusters across studies were identified and subsequently tested with confirmatory factor analysis (CFA) of responses from an independent sample. Results: Fourteen relevant studies were identified, 12 of which were obtained. A general depression factor was identified, consisting of the following symptoms: depressed mood, guilt, loss of interests, retardation, suicide, and psychological anxiety. The subsequent CFA analysis supported the fit of this model. Conclusions: This study indicates that a general depression cluster is manifest in responses to the HDRS across cultures. While psychometric properties of the full-length HDRS are still debated, the general depression cluster appears pertinent to the assessment of depression across cultures. We recommend that cross-cultural clinicians and researchers focus on the use of unidimensional depression scales, which are in agreement with this cluster.


2004 ◽  
Vol 161 (12) ◽  
pp. 2163-2177 ◽  
Author(s):  
R. Michael Bagby ◽  
Andrew G. Ryder ◽  
Deborah R. Schuller ◽  
Margarita B. Marshall

2018 ◽  
Author(s):  
Ana Jimenez Portilla ◽  
Elena Mena Ribas ◽  
Antonia Barcelo Bennasar ◽  
Juan Manuel Martinez Ruitort ◽  
Cristina Alvarez Segurola ◽  
...  

2013 ◽  
Vol 5 (3) ◽  
pp. 141-146 ◽  
Author(s):  
Erita Istriana ◽  
Ade Kurnia ◽  
Annelies Weijers ◽  
Teddy Hidayat ◽  
Lucas Pinxten ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ha Min Son ◽  
Dong Gyu Lee ◽  
Yoo-Sook Joung ◽  
Ji Woo Lee ◽  
Eun Ju Seok ◽  
...  

Purpose The current golden standard for attention deficit hyperactivity disorder (ADHD) diagnosis is clinical diagnosis based on psychiatric interviews and psychological examinations. This is suboptimal, as clinicians are unable to view potential patients in multiple natural settings – a necessary condition for objective diagnosis. The purpose of this paper is to improve the objective diagnosis of ADHD by analyzing a quantified representation of the actions of potential patients in multiple natural environments. Design/methodology/approach The authors use both virtual reality (VR) and artificial intelligence (AI) to create an objective ADHD diagnostic test. Diagnostic and statistical manual of mental disorders, 5th Edition (DSM-5) and ADHD Rating Scale are used to create a rule-based system of quantifiable VR-observable actions. As a potential patient completes tasks within multiple VR scenes, certain actions trigger an increase in the severity measure of the corresponding ADHD symptom. The resulting severity measures are input to an AI model, which classifies the potential patient as having ADHD in the form inattention, hyperactivity-impulsivity, combined or neither. Findings The result of this study shows that VR-observed actions can be extracted as quantified data, and classification of this quantified data achieves near-perfect sensitivity and specificity with a 98.3% accuracy rate on a convolutional neural network model. Originality/value To the best of the authors’ knowledge, this is the first study to incorporate VR and AI into an objective DSM-5-based ADHD diagnostic test. By including stimulation to the visual, auditory and equilibrium senses and tracking movement and recording voice, we present a method to further the research of objective ADHD diagnosis.


2017 ◽  
Vol 13 (4) ◽  
pp. 305-311
Author(s):  
Tracy Hellem ◽  
Lindsay Scholl ◽  
Young-Hoon Sung ◽  
Hayden Ferguson ◽  
Erin McGlade ◽  
...  

2019 ◽  
Vol 10 (2) ◽  
pp. 1298-1301
Author(s):  
Ganesan G Ram ◽  
Jambu N

Dual-energy X-ray absorptiometry (DEXA) scan is the gold standard investigation for diagnosing osteoporosis. The limitations of "gold standard" Dual-energy X-ray absorptiometry scan were many. The aim of this study is to find whether urinary n telopeptide can be used to diagnose osteoporosis — prospective cohort study done at Sri Ramachandra Medical University between August 2014 to December 2018. The study was done amongst the postmenopausal females and older males who came to the University hospital as an inpatient or an outpatient with suspected osteoporosis. We had 110 persons participated in the study. The patients were divided into two groups. Group, I was cases whose Dexa scan was osteoporosis/ osteopenia, and Group II was a control that had standard Dexa. The results from Dexa Scan are taken as the gold standard against urinary n telopeptide and a 2x2 table formed. Sensitivity, specificity, positive predictive value, likelihood ratio, area under ROC curve will be calculated. The mean value of urinary N Telopeptide in the case group was 182.5 and in control group was 49.8. The ROC curve was formed and cut off was calculated to be 71. Urinary N telopeptide can very well be considered as a diagnostic test and can’t be considered as a gold standard diagnostic test as there is some limitation as it is a bone resorption biomarker having some pre-analytical and biochemical variability which can alter the results. It can be used as an adjuvant and as a screening test along with gold standard Dexa in diagnosing osteoporosis.


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