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Record W4400687512 · doi:10.1186/s13104-024-06859-9

Reproductive history is associated with functional disabilities and symptoms in women with knee osteoarthritis: a case-control study

2024· article· en· W4400687512 on OpenAlexaboutno aff
Fariba Eslamian, Seyed Kazem Shakouri, Narges Mohammadpour, Neda Dolatkhah, Soheila Bani, Fatemeh Nazari Khanmiri

Bibliographic record

VenueBMC Research Notes · 2024
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsnot available
FundersUniversity of TabrizTabriz University of Medical Sciences
KeywordsMedicineMenarcheBreastfeedingOsteoarthritisMenstruationRisk factorProtective factorFamily historyPhysical therapyPediatricsInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: Studies that have examined the correlation between reproductive history and knee osteoarthritis (KOA) have had heterogeneous findings. We aimed to investigate the reproductive history and its relationship with pain and physical dysfunction in women with KOA. This case-control study, comprising 204 women aged 50 and older with and without KOA recruited through random cluster sampling, was executed from February 2018 to October 2018 in the health centers of Tabriz City. The reproductive history questionnaire was completed for the subjects in two groups. Pain intensity and functional dysfunction caused by KOA were evaluated using the Visual analogue scale and the Western Ontario and McMaster index, respectively. RESULTS: The women's age of menarche in the case group was significantly lower (p = 0.031), and the number of pregnancies (p = 0.017) and the average duration of breastfeeding (p = 0.039) were substantially higher than those of the control group. Older age at the first menstruation (OR = 0.851) was a protective factor, and higher parity (OR = 8.726) was a risk factor for KOA. In the women with KOA, the younger age of the mother at the birth of the first alive baby and the longer duration of breastfeeding were associated with higher pain intensity and functional disorders.

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)0.002
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 score0.092
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.073
GPT teacher head0.344
Teacher spread0.271 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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