Evaluating cognitive function in patients with differentiated thyroid cancer who experienced short- term hypothyroidism by levothyroxine withdrawal using Montreal Cognitive Assessment-Philippines (MoCA-P) tool
Bibliographic record
Abstract
Background & Objective: Although there are numerous data studying cognitive dysfunction on hypothyroidism in general, there are limited researches that venture on short-term hypothyroidism. This study aimed to determine the cognitive function of patients with differentiated thyroid cancer (DTC) who experienced short-term hypothyroidism. Methods: This was a prospective study done in a tertiary hospital in Manila that enrolled 16 DTC patients either for radioactive iodine (RAI) therapy or thyroid cancer monitoring, who were followed at baseline before levothyroxine (LT4) withdrawal, during hypothyroid state and post-LT4 treatment. MoCA-P tool was used to objectively assess cognition while HADS-P tool was used to detect anxiety and depression. Mean scores were calculated for each time point and analyzed using paired T-test. Results: There was a decrease in the mean MoCA-P score from baseline to hypothyroid state (25.22 to 22.97, p= 0.032) with improvement post-LT4 treatment (22.97 to 24.93, p= 0.004). Older age was associated with decrease in MoCA-P scores (p= 0.04). Total HADS-P scores were nonsignificant. Visuospatial (3.86 to 3.43, p 0.014) and attention (4.86 to 4.36, p value 0.021) domains declined with hypothyroidism, with reversal of visuospatial function post-LT4 treatment. Conclusion: There is a significant alteration in cognition during short-term hypothyroidism that generally improves with LT4 treatment. It is important to educate patients on specific cognitive domains that can be affected to ensure occupational safety.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".