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Record W2907579898 · doi:10.1080/14397595.2018.1551274

Age and quality of life in patients with rheumatoid arthritis treated with biologic agents

2019· article· en· W2907579898 on OpenAlexfundno aff
Nao Oguro, Nobuyuki Yajima, Yusuke Miwa

Bibliographic record

VenueModern Rheumatology · 2019
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
FundersOno PharmaceuticalMitsubishi Tanabe Pharma CorporationChugai PharmaceuticalTeijin PharmaAbbVie CanadaAstellas Foundation for Research on Metabolic Disorders
KeywordsMedicineRheumatoid arthritisInternal medicineQuality of life (healthcare)Erythrocyte sedimentation rateConfidence intervalRheumatologyCohortKidney diseaseDiabetes mellitusPhysical therapy

Abstract

fetched live from OpenAlex

Objectives: This study aimed to assess the relationship between age and quality of life (QOL) in patients with rheumatoid arthritis (RA) after treatment with biologic agents. Methods: We recruited 153 patients with RA treated with biologic agents at three hospitals of Showa University from 2005 to 2016 for this retrospective cohort study. Patients were divided into two groups—aged 65 years and older (elderly group) and aged under 65 years (adult group). The primary outcome was the change in QOL over 6 months. We measured QOL using the Medical Outcomes Study Short-Form-36 (SF-36), the physical component scale (PCS), and the mental component scale (MCS). Results: There were 94 adult patients (61.4%) and 59 elderly patients (38.5%). Adjusted for sex, disease duration, Disease Activity Score 28 erythrocyte sedimentation rate (DAS28ESR), Health Assessment Questionnaire-Disability Index (HAQ-DI), and complications including interstitial lung disease, diabetes mellitus, and chronic kidney disease, there was a significant difference in PCS changes in 6 months between the groups (regression coefficients −7.25; 95% Confidence Interval (CI) −11.7 to −2.77; p = .0018). There was no significant difference in MCS. Conclusion: Elderly patients with RA may have more difficulty in achieving a satisfactory QOL after treatment with biologic agents.

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 score0.015
Threshold uncertainty score0.658

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 studies0.0000.000
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 head0.020
GPT teacher head0.259
Teacher spread0.240 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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