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Record W2761034195 · doi:10.2147/jpr.s143036

Attenuated serum adiponectin levels are associated with disease severity in patients with non-traumatic osteonecrosis of the femoral head

2017· article· en· W2761034195 on OpenAlexaboutno aff
Yong-Bin Yue, Xin Liu, Biaofang Wei

Bibliographic record

VenueJournal of Pain Research · 2017
Typearticle
Languageen
FieldMedicine
TopicBone and Joint Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACOsteoarthritisFemoral headStage (stratigraphy)Internal medicineGastroenterologyAdiponectinBiomarkerSurgeryPathologyObesity

Abstract

fetched live from OpenAlex

OBJECTIVE: Decreased adiponectin (APN) levels have been detected in patients with osteonecrosis of the femoral head (ONFH). The scope of this study was aimed to explore the relationship between serum APN levels and disease severity in nontraumatic ONFH patients. PATIENTS AND METHODS: Ninety two nontraumatic ONFH patients and 92 healthy controls were enrolled for this study following the estimation of sample size. Serum APN concentrations were examined by enzyme-linked immunosorbent assay (ELISA). The radiographic progression was determined by Ficat grading system. The clinical severity was evaluated by visual analog scale (VAS), Harris hip scores (HSSs) and Western Ontario and McMaster University Osteoarthritis Index (WOMAC) scores. RESULTS: Serum APN levels were significantly lower in ONFH patients than in healthy controls. Serum APN levels were significantly lower in patients with Ficat stage 4 ONFH than in patients with stage 3 ONFH, and APN levels in patients with stage 3 were lower compared with stage 2. Serum APN levels were negatively correlated with the Ficat grading system. In addition, serum APN levels were also negatively related to VAS and WOMAC scores and positively associated with HSSs. CONCLUSION: Decreased serum APN levels may reflect disease severity of nontraumatic ONFH.

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)0.005
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 score0.006
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
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 integrity0.0000.001
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 head0.095
GPT teacher head0.368
Teacher spread0.273 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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