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Patients with depression in the early stages of Parkinson's disease: A cross-sectional observational study

2022· article· en· W4281997277 on OpenAlexaboutno aff
M. R. Nodel, Gyulnara Zh. Mahmudova, Ilmar Nikolas V. Niinoja, Д. В. Романов

Bibliographic record

VenueConsilium Medicum · 2022
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsApathyDepression (economics)Montreal Cognitive AssessmentAnxietyPsychologyCognitionBeck Depression InventoryObservational studyPsychiatryClinical psychologyMedicineInternal medicineCognitive impairment

Abstract

fetched live from OpenAlex

Background. Depression is one of the most maladaptive manifestations of Parkinson's disease (PD). The relationship between depression and motor, cognitive, and other affective disorders in the early stages of PD remains debatable. Aim. To assess the frequency and severity of depression, to clarify the features of motor, affective disorders, and cognitive functions in patients with depression in the early stages of PD. Materials and methods. We observed 61 patients diagnosed with PD at stages III according to the HoehnYahr scale. The average age was 62.29.6 years, the average duration of PD was 2.51.6 years. Data were analyzed using the Unified PD Scale, the Beck Depression Inventory, the Apathy Scale, the Spielberger Anxiety Inventory, the PD Cognitive Assessment Scale (SCOPA-COG), the digital character substitution test (the symbolsnumbers test), the Montreal the Cognitive Function Assessment Scale (MoCA), the number-to-letter combination test, the Stroop test. Results. Symptoms of depression were detected in 48 (79%) patients with PD; 20 (33%) patients had subdepression, 24 (39%) had moderate and severe depression, and 4 (7%) had severe depression. In patients at stage I PD according to HoehnYahr, the frequency of moderate depression was 28%, at stage II (moderate and severe) 45%, and severe 10%. Patients with depression were characterized by a greater severity of motor symptoms, disturbances in daily activities, anxiety, apathy, as well as a decrease in executive cognitive functions. An inverse correlation was noted between the duration of depressive symptoms and deterioration in performance on tests to assess attention and control cognitive functions. Conclusion. Depression is a characteristic feature of the early stages of PD. Its frequency and severity increase from stage I to stage II of PD. Depression can be considered as an indicator of a more severe course of the disease, the progression of impairments in controlling cognitive functions. The possibility of assessing the prognosis of the course of the disease additionally substantiates the need to diagnose depression in patients with PD in the early stages of the disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.041
GPT teacher head0.306
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2022
Admission routes1
Has abstractyes

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