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Record W2033493433 · doi:10.1002/mds.22546

Pain intensity on and off levodopa in patients with Parkinson's disease

2009· article· en· W2033493433 on OpenAlexfundaboutno aff
Angelika Nebe, Georg Ebersbach

Bibliographic record

VenueMovement Disorders · 2009
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersOrion CorporationDesitin ArzneimittelNovartisIpsenValeant Pharmaceuticals InternationalCephalonGlaxoSmithKline
KeywordsLevodopaMcGill Pain QuestionnaireMedicineVisual analogue scaleParkinson's diseasePhysical therapyLumbarDiseasePain disorderIntensity (physics)Degenerative diseaseAnesthesiaPhysical medicine and rehabilitationChronic painSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Pain is frequently reported by patients with Parkinson's disease (PD). In this study, intensity of pain as measured by a visual analogue scale (VAS) was assessed on and off levodopa in 15 patients with PD. All patients had motor fluctuations and suffered from pain of various types. Description of pain was assessed with the McGill pain questionnaire. Ratings for pain intensity on the VAS were increased during off period for all patients but one (P = 0.001). There was a correlation (P = 0.04) between changes in motor performance (Unified Parkinson's Disease Rating Scale part III) and pain intensity (VAS). Compared with a historical sample of subjects with different pain syndromes without PD, terms related to fear and punishment were used more frequently by patients with PD in this study. In two patients, pain was exclusively limited to the off period. The majority of subjects suffered from secondary pain possibly related to lumbar osteoarticular degeneration. Secondary pain was relieved but not completely abolished by levodopa. The results of this study suggest that aggravation of secondary pain should be considered as a part of the spectrum of nonmotor off symptoms. Analgesics should not be given as first line drugs when pain occurs or increases in off conditions, and pain can be significantly alleviated or abolished by adjustments of dopaminergic medication.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.072
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.210
Teacher spread0.204 · 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 teacher head, 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

Citations87
Published2009
Admission routes2
Has abstractyes

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