MétaCan
Menu
Back to cohort
Record W2266500525 · doi:10.3899/jrheum.141609

Disability with Persistent Pain Following an Epidemic of Chikungunya in Rural South India

2015· article· en· W2266500525 on OpenAlexvenueno aff
Asma Rahim, Romy Jose Thekkekara, Thomas Bina, Binoy J Paul

Bibliographic record

VenueThe Journal of Rheumatology · 2015
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEpidemiologyJoint painChikungunyaPhysical therapyCross-sectional studyDiseaseInternal medicineOutbreakPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: We investigated the effects of chronic rheumatic and musculoskeletal symptoms on the functional status of people affected by the chikungunya (CKG) epidemic in the Calicut District, Kerala, South India in 2009. METHODS: A cross-sectional house-to-house survey was conducted 18 months after the CKG epidemic to assess functional status of individuals with post-epidemic persistent pain. All respondents over age 15 years with persistent pain fitting the epidemiological case definition were included. Participants' functional status was assessed using the Health Assessment Questionnaire-Disability Index (HAQ-DI). Factors affecting severity of HAQ-DI were analyzed by ordinal regression. RESULTS: Of 3869 subjects interviewed, 1195 (34.3%) had a positive history of CHIKV virus infection (epidemiological or confirmed); 36.28% (624/1720) of CKG-affected individuals had persistent pain 18 months post epidemic. Mean age of those affected was 48.22 ± 15.6 years; 23.2% had no disability, while 16.2% had moderate to severe disability on the HAQ-DI. Significant factors affecting severity of disability on HAQ-DI included previous rheumatic musculoskeletal disease (OR 2.27), joint and soft-tissue involvement (OR 3.74), only joint involvement (OR 2.14), female sex (OR 1.44), diet (OR 4.73), and history of joint swelling (OR 1.72). CONCLUSION: Persistence of pain noted in post-CKG disease resulted in significantly deteriorated functional status of those affected.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.074
Threshold uncertainty score0.241

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.016
GPT teacher head0.269
Teacher spread0.252 · 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

Citations43
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of RheumatologySame topicMosquito-borne diseases and controlFrench-language works237,207