Prof K C Dube Poster Award
Bibliographic record
Abstract
Aim: To evaluate the association of metabolic syndrome and cognitive impairment in patients suffering from Bipolar Disorder, currently in clinical remission. Methodology: 70 patients suffering from bipolar disorder currently in clinical remission were assessed for metabolic syndrome using the Consensus Criteria given by the International Diabetes Federation and cognitive impairments were assessed by using the Montreal Cognitive Assessment (M0CA) Scale. Results: The mean age of the study sample was 43.9 years (SD: 13.1). The mean duration of illness was 16.1 years (SD: 10.1), with mean number of total lifetime episodes being 5.3 (SD: 3.8). The mean number of criteria met for metabolic syndrome was 2.9 (SD: 1.3) with 46 (65.7%) patients satisfying the criteria for metabolic syndrome. The mean score on MoCA was 22.8 (SD: 5.1) with 43 (61.4%) of the patients having mild cognitive impairment, i.e., a score of less than 26. Mild cognitive impairment was significantly associated with raised diastolic blood pressure. Lower score on MoCA had significant correlation with higher waist circumference and higher hip circumference. Additionally, presence of cognitive impairment was associated with higher number of total episodes, early age of onset, and female gender. Conclusions: Although there is high prevalence of metabolic syndrome and cognitive impairment in patients with Bipolar disorder, there is no significant association between metabolic syndrome and cognitive impairment. Cognitive impairment is associated with raised blood pressure, increased waist circumference and hip circumference. Hence, there is a need to regularly monitor the waist circumference, hip circumference and blood pressure in patients with bipolar disorder.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.418 | 0.300 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".