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Quality of life in individuals with cervical dystonia before botulinum toxin injection in a Brazilian tertiary care hospital

2011· article· en· W2122269885 on OpenAlexaboutno aff
Mariana Ribeiro Queiroz, Hsin Fen Chien, Egberto Reis Barbosa

Bibliographic record

VenueArquivos de Neuro-Psiquiatria · 2011
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsCervical dystoniaBotulinum toxinQuality of life (healthcare)VitalitySpasmodic TorticollisMedicineRating scalePhysical therapyPsychological interventionPopulationPsychologyDystoniaPsychiatryEnvironmental healthSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this study was to evaluate quality of life (QoL) in a Brazilian population of individuals with cervical dystonia (CD) without effect of botulinum toxin (BTx) or with only residual effect of BTx, and identify possible physical and social aspects that affect their QoL. METHOD: Sixty five out of sixty seven consecutive patients with CD were assessed with two instruments: Short-form Health Survey with 36 questions (SF-36) and Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS). RESULTS: Severity of CD (TWSTRS) correlated moderately with two SF-36 subscale: role-physical (r= -0.42) and body pain (r= -0.43). Women also scored worse in two subscale of SF-36: vitality (p<0.05) and mental-health (p<0.005). CONCLUSION: Severity of CD and gender (female) were the main factors related to a worse QoL perception. These findings may help health professionals to predict which characteristics could lead to worse QoL, and therefore, better target their interventions to lessen the burden caused by CD.

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)0.000
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 score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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

Citations19
Published2011
Admission routes1
Has abstractyes

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