Cognitive Impairment and Tramadol Dependence
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Cognitive impairment is one of the consequences of substance abuse. Tramadol abuse is a public health problem in Egypt. The objective of this study was to estimate the prevalence and correlates of cognitive impairment among tramadol-abuse patients and control subjects. METHODS: This study included 100 patients with tramadol abuse and 100 control subjects (matched for age, sex, and education) who were recruited from Zagazig University Hospital, Egypt. Patients were divided into 2 groups: patients who used tramadol only (tramadol-alone group) and patients who used tramadol and other substances (polysubstance group). The participants were interviewed using Montreal Cognitive Assessment test and had urine screening for drugs. RESULTS: Twenty-four percent of the cases used tramadol alone, whereas the remaining used tramadol and other substances, mainly cannabis (66%) and benzodiazepines (27%). Tramadol-abuse patients were about 3 times more likely to have cognitive impairment than control subjects (81% vs 28%). Tramadol-alone patients were more than 2 times more likely to have cognitive impairment than control subjects (67% vs 28%). Cognitive impairment was significantly associated with polysubstance abuse. There was no association between cognitive impairment and sociodemographic or clinical factors. CONCLUSIONS: Cognitive impairment occurs commonly among tramadol-abuse patients. Memory impairment is the most common cognitive domain to be affected. There is a significant association between cognitive impairment and polysubstance abuse.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".