Depression et Maladie de Parkinson: étude d’une série de 135 parkinsoniens
Bibliographic record
Abstract
OBJECTIVE: The prevalence of depression in Parkinson's disease (PD) raises the issues of the difficulties of diagnosing the condition and of the relationships between depression and the natural history of the disease. METHODS: A cohort of 135 consecutive patients with idiopathic PD underwent psychiatric (DSM-III-R, Goldberg depression scale), neurological (distinguishing "axial" signs from other signs of parkinsonism), and neuropsychological (particularly frontal tests) evaluations. RESULTS: Depression is present in more than half of the patients and it seems to be more frequent in patients with the akinetic and fluctuating forms of the disease. The subjects who are depressed do not have a greater degree of cognitive impairment, but their scores on frontal tests are higher. Moreover, the axial signs of the disease (postural instability, axial rigidity) are more severe in depressed parkinsonians suggesting a link between depression and the non-dopaminergic lesions of the disease. Even though slowness, appetite and sleep disturbances, and fatigue may be encountered in non-depressed parkinsonian patients, separation of the parkinsonian population into subgroups shows that certain symptoms are never seen in parkinsonians who are not depressed: it is thus evident that "the impression that life is not worth living", "the hopelessness", "the impression of being worthless and incompetent", "the low level of energy", "the morning sadness" are characteristic of parkinsonian depression. Parkinsonian depression has two major clinical forms. The first one is associated with a greater number of somatic manifestations: sleep disturbances, morning fatigue. corresponding to more severe depression with hopelessness and loss of self confidence. The second exhibits few somatic manifestations with apathy and slowness as frequent complaints. CONCLUSIONS: This study defines the symptoms of parkinsonian depression which should be better recognised in order to be treated. The link between depression and axial signs of the disease may explain why L-dopa and dopaminergic agonists improve the motor signs of depression without influencing depressive manifestations in most cases.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".