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Record W4313319923 · doi:10.7860/jcdr/2022/57582.17318

Response of Antipsychotic Drugs in Health Section Late-onset and Early-onset Schizophrenia in the Vindhya Region, Central India: A Prospective Cohort Study

2022· article· en· W4313319923 on OpenAlexaboutno aff
Suneel Singh Kushwah, Prashant Maravi, Akshat Varma, Daisy Rure

Bibliographic record

VenueJOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH · 2022
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)AntipsychoticMedicineBrief Psychiatric Rating ScaleCohortProspective cohort studyPsychiatryPediatricsInternal medicinePsychosis

Abstract

fetched live from OpenAlex

Introduction: Previous studies were predominantly on earlyonset schizophrenia with little emphasis on clinical profile, therapeutic responsiveness and various investigational, biochemical and neuroimaging variables in Late-onset Schizophrenia (LOS), which is an emerging concern in elderly morbidity, and differs significantly from Early-onset Schizophrenia (EOS). Aim: To study the clinical profile, and response to various antipsychotic drugs in LOS and compare it with EOS. Materials and Methods: A clinical prospective cohort study was conducted in Shyam Shah Medical College, Rewa Madhya Pradesh, India, from January 2020 to June 2021, with baseline and follow-up assessment of psychotic and cognitive symptoms after four weeks using PANSS (Positive and Negative Syndrome Scale), MoCA (Montreal Cognitive Assessment) and BPRS (Brief Psychiatric Rating Scale) scales. A total of 51 patients were included in the study, divided into two groups of early and late onset, attending the out-patient and in-patient services during the period at the center and concomitant treatment with antipsychotics for four weeks. Statistical analysis was done in Statistical Package for Social Sciences (SPSS) version 21.0 with p-value of 0.05. Results: A total of 51 patients, 27 in EOS group and 24 in LOS were included and analysed in the present study. The demographic profile of late and EOS varied in mean age with EOS at 30.11 years and LOS at 57.66 years), gender distribution predominantly males (n=19) in EOS and predominantly females (n=20) in LOS) and the average age of onset of EOS was 22.05 years and LOS was 55.54 years. The duration of illness in EOS 7.98 years and LOS was 2.12 years. The mean Positive and Negative Syndrome Scale score at baseline for EOS was 1.92±1.07 and LOS was 2.83±0.56 and four weeks for EOS was 1.70±0.91 and LOS was 2.83±0.56. The response in Positive and Negative Syndrome Scale at 4 weeks as well as individual domain scale score such as hallucinations, suspiciousness, blunted effect, emotional withdrawal, active social avoidance showed significant results in both EOS and LOS. Conclusion: Schizophrenia can manifest for the first time in late life and manifestations of stringently defined schizophrenia is by no means confined to onset at younger ages. Although there are undoubted similarities between the symptoms of EOS and LOS, there are also clear differences, especially demographic and clinical characteristics, early identification of which will help in adequate intervention and prevention of further morbidity in the elderly.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.436
Teacher spread0.371 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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