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Record W2042711986 · doi:10.1177/1203475415582317

Loss of Work Productivity and Quality of Life in Patients With Autoimmune Bullous Dermatoses

2015· article· en· W2042711986 on OpenAlexaff
Kara Heelan, Sander L. Hitzig, Simon R. Knowles, Aaron M. Drucker, Nicole Mittmann, Scott R. Walsh, Neil H. Shear

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsUniversity Health NetworkHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Dermatology Life Quality IndexWork productivityObservational studyCross-sectional studyFunctional impairmentPhysical therapyInternal medicineGerontologyProductivityDiseasePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Little is known about quality of life and work productivity in autoimmune bullous dermatoses (AIBDs). OBJECTIVE: To determine the impact of AIBDs on quality of life and work productivity. METHODS: An observational cross-sectional study took place between February and May 2013 at an AIBD tertiary referral centre. Ninety-four patients were included. All participants completed the Dermatology Life Quality Index and the Work Productivity and Activity Impairment-Specific Health Problem questionnaires. RESULTS: Responders to treatment had less impairment (P<.001) than nonresponders. Patients with severe AIBD had significantly more impairment that those with mild (P<.001) and moderate (P=.002) AIBD. Greater impairment was associated with higher percentage of work missed. Those with a higher Dermatology Life Quality Index score had greater work impairment and overall activity impairment (P=.041, P=.024). Nonresponders had increased impairment while working (P<.001), overall work impairment (P<.001), and activity impairment (P<.001). Severely affected patients had worse impairment in all Work Productivity and Activity Impairment Questionnaire domains. CONCLUSIONS: AIBD has the potential to be a large burden on ability to work and quality of life. Larger studies are needed to clarify how these domains change over time and whether or not they improve with treatment.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.012
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.033
GPT teacher head0.268
Teacher spread0.235 · 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

Citations14
Published2015
Admission routes1
Has abstractyes

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