[P‐181]: A pilot data analysis on the Columbia University lithium archives project
Bibliographic record
Abstract
Advances in neuroimaging techniques have produced data in Bipolar and Unipolar patients showing structural and neurochemical changes in the brain, including regional cell loss, decreased volume and atrophy (Moore et al., 2000). Similarly, various treatment modalities, particularly chronic lithium, have measurable increases changes in these patients' grey matter volumes (Manji et al., 2000), most likely correlated with an increase in the cyto-protective protein-bel-2 in the CNS as seen in vivo and in cells of animal and human neuronal origin (Grey et al., 2003). These findings support the currently held hypothesis that Lithium and other psychotropic agents may have neuroprotective and neuroregenerative properties. The following represents a pilot data analysis a naturalistic epidemiological experiment. To perform a retrospective chart reivew of patients diagnosed with Bipolar disorder treated with lithium to determine whether chronic lithium treatment resulted in any measurable differences in the prevalence of neurodegenerative illnesses in this unique population compared to the prevalence of these disorders in the general population. An initial 444 charts were randomly selected from an archival collection of over 8000 charts from three Lithium clinics in New York City compiled over 40 years. Sixteen neurodegenrative variables were extracted and a pilot analysis was conducted using SPSS. The data analysis of this small sample (N=444) was not expected to and did not reach statistical significance for all variables analyzed. However, the results did demonstrate a positive trend towards statistical significance (p-value< 0.05) for some of the variables. As the elderly population increases due to medical and sociological advances, there remains no cures for neurodegenerative diseases which cost billions of dollars in healthcare. Considering the neuroprotective and neuroregenerative properties of Lithium and other psychotropic drugs, further exploration of these properties should be conducted. Our intent is to continue entering and analyzing our unique data sample to ultimately confirm or reject the clinical and laboratory findings that chronic Lithium treatment provides neuroprotective properties in patients. Additionally, our goal is to establish a unique computer database of this large sample which will be made available to other researchers investigating psychiatric and neurological disorders.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".