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Record W4411556801 · doi:10.1186/s43166-025-00339-z

Insulin resistance in non-diabetic premenopausal female patients with fibromyalgia: relation to disease characteristics

2025· article· en· W4411556801 on OpenAlexaboutno aff
Noha A. Elsawy, Marwa Hassan, Rasha Abdelmawla Ghazala, Riham Hamed, Rehab Elnemr

Bibliographic record

VenueEgyptian Rheumatology and Rehabilitation · 2025
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFibromyalgiaInsulin resistanceDiseaseDiabetes mellitusRelation (database)Physical therapyInternal medicineEndocrinologyComputer science

Abstract

fetched live from OpenAlex

Abstract Background Fibromyalgia syndrome (FMS) and insulin resistance (IR) may share common pathophysiological features. We aimed to investigate the role of IR among FMS patients and investigate its relation to various mutations in the catechol-O-methyltransferase (COMT) gene. Methods and results A case–control study which included 120 women (60 diagnosed as having FMS and 60 healthy women as a control group) aged from 22 to 40 years was conducted. Patients had significantly increased HbA1C% (5.49 ± 0.35) and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) (1.74 ± 1.23) than controls (4.99 ± 0.27 and 0.92 ± 0.15, respectively) ( p < 0.001). The patients with the COMT A/A genotype had significantly higher mean values of the symptom severity score, painDETECT, McGill Pain, visual analog scale, Fibromyalgia Impact Questionnaire, and Small Fiber Neuropathy Screening List ( p = 0.004, 0.004, 0.013, 0.019, 0.005, and 0.001, respectively). Conclusion IR was significantly higher among FMS patients, and patients with the COMT A/A allele had greater pain sensitivity. Thus, IR may have an add-on effect on pain in FM.

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)0.001
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 score0.004
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.004
GPT teacher head0.248
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 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueEgyptian Rheumatology and RehabilitationSame topicFibromyalgia and Chronic Fatigue Syndrome ResearchFrench-language works237,207