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Predominant polarity in bipolar affective disorder and its impact on cognition and quality of life

2023· article· en· W4380992674 on OpenAlexaboutno aff
Shashank Bhardwaj, Deoraj Sinha, Ami Pawar, Astik Mane

Bibliographic record

VenueIndian Journal of Psychiatry · 2023
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBipolar disorderManiaMoodPsychiatryQuality of life (healthcare)Depression (economics)PsychologyHypomaniaComorbiditySubstance abuseClinical psychologyCognitionMedicinePsychotherapist

Abstract

fetched live from OpenAlex

Background: Bipolar mood disorder or bipolar affective disorder (BPAD) is a chronic illness characterized by phases of mania/hypomania, depression, or mixed episodes. The course of bipolar mood disorder is relapsing in nature. It is associated with high comorbidity rates, a large number of premature deaths due to suicide, and a worse social and work performance. All of those characteristics entail a significant economic impact due to both direct and indirect costs and require an effective diagnostic and therapeutic approach. Lifetime prevalence of BPAD is approximately 4% worldwide. Various attempts have been made to define "predominance" of polarity in BPAD. Need for this Study: Our study tries to highlight the existence of predominant polarity by comparing effects of the same on substance consumption, cognitive abilities, quality of life, and preponderance of specific polarity to specific gender. Method: After Institutional Ethics Committee Approval and written informed consent, patients who were diagnosed with BPAD attending out-patient department of a tertiary care hospital in Mumbai were recruited. A total of 57 participants were enrolled. The World Health Organization Quality of Life - Brief Scale (WHOQOL BREF) and the Montréal Cognitive Assessment (MoCA) were both used to evaluate the patients' quality of life and cognitive ability, respectively. Discussion and Results: value of. 003. Regarding age, illness length, education, substance abuse, family history, and suicide attempts, there was no discernible difference in the polarities. The outcome of female bipolar patients may be improved if the clinician is mindful of the burden of depression, risk of misdiagnosis, and variable therapy response. Interestingly, our study found no significant difference between MoCA scores of those with depressive and manic polarity. Substantial MoCA score differences were found between the groups with depressive polarity and no polarity. Conclusion: Men were observed to experience more manic episodes. More women in the study experienced predominantly depressive polarity, highlighting the need to probe for a past history of hypomania or mixed episodes to avoid misdiagnosis as unipolar depression in them. Manic predominate polarity performed better in the physical and psychological domains of the post hoc test for quality-of-life BREF scale. There were substantial MoCA score differences between the groups with depressive polarity and no polarity, with the depressive polarity showing more cognitive decline.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.330
Teacher spread0.312 · 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".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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