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Record W2584013641 · doi:10.3899/jrheum.161469

Sjögren Syndrome and Work Disability

2017· letter· en· W2584013641 on OpenAlexvenueno aff
Alexandre Dumusc, Simon Bowman

Bibliographic record

VenueThe Journal of Rheumatology · 2017
Typeletter
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImmunopathologyDermatologyPhysical therapyImmunology

Abstract

fetched live from OpenAlex

Primary Sjögren syndrome (pSS) is an autoimmune disease characterized by lymphocytic infiltration of salivary and lachrymal glands associated with oral and ocular dryness. It is 9 to 13 times more common in women than men and typically affects women between the ages of 40 and 60 years1. Fatigue and pain are common symptoms, reported by > 60% of patients. They are closely linked with low mood and reduced health-related quality of life in patients with this condition and can be disabling in severity2. As a result, pSS has potential health economic consequences. This is of particular importance as we move into an era of clinical trials for (expensive) biologic agents for pSS manifestations. There are a limited number of published papers about the effect of developing pSS on patients’ employment and ability to work and what aspects of the disease may predict work disability3,4,5. In this issue of The Journal , Mandl, et al report the results of their study of work disability in newly diagnosed patients with pSS in Skåne County in Sweden6. This study prospectively collected clinical data of 51 patients with pSS from the Malmö Sjögren’s Syndrome Register and linked these data to employment data from 1 year before to 2 years after the diagnosis of pSS. The employment data came from the Swedish Social Insurance Agency. This was compared to employment data from age-, sex-, and residence-matched controls from the Swedish population register in a 1:4 ratio. At the time of diagnosis, 16% of patients with pSS were already receiving a disability pension and 10% were on sick leave. After the diagnosis, the authors showed a steady increase in work disability, initially including … Address correspondence to Prof. S.J. Bowman, Rheumatology Dept., Queen Elizabeth Hospital, Edgbaston, Birmingham B15 2TH, UK. E-mail: simon.bowman{at}uhb.nhs.uk

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.479
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.021
GPT teacher head0.266
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2017
Admission routes1
Has abstractyes

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