Suicide and Related Factors in Parkinson’s Disease
Bibliographic record
Abstract
Introduction Parkinson’s disease(PD) is a progressive, neurodegenerative nervous system disease.Psychiatric symptoms are common in PD,it is important to consider the suicide risk of these patients. Objectives The aim of this study is to investigate the risk of suicide in PD with a case control study and to determine the factors that may be associated. Methods 126 Parkinson’s patients and 117 age,gender matched healthy controls were included.Montreal Cognitive Assessment Scale(MoCA),Suicide Probability Scale(SPS),Beck Hopelessness Scale(BHS),Apathy Rating Scale(AES) and Multidimensional Scale of Perceived Social Support(MSPSS) were completed by participants.The PD group completed Parkinson’s Disease Quality of Life Questionnaire(PDQ-39) and data on disease duration,Movement Disorders Society-Unified Parkinson’s Disease Rating Scale(MDS-UPDRS),levodopa-equivalent daily doses(LEDD) were obtained.Hamilton Anxiety Rating Scale(HAM-A) and Hamilton Depression Rating Scale(HAM-D) were administered to all participants. Results SPS total scores were significantly lower and total scores of HAM-A,HAM-D and MSPSS were found to be significantly higher in the PD group.There was no significant difference between the two groups in terms of BHS total scores.In PD group a linear relationship was found between SPS total scores and BHS,PDQ39, HAM-A and HAM-D and an inverse relationship with AES.In the regression analysis,it was concluded that a one-unit increase in BHS total scores increased the probability of suicide by 17.1%. Conclusions It is seen that SPS scores in patients are lower than controls and observed that SPS is correlated with hopelessness,depression,anxiety and quality of life.Although the possibility of suicide is found to be low in PD,this risk increases in patients with untreated depression and anxiety.Therefore,psychiatric evaluation may be recommended in these patients. Disclosure No significant relationships.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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 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".