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Record W2120100545 · doi:10.1210/jc.2003-031716

Circulating Adiponectin and Endometrial Cancer Risk

2004· article· en· W2120100545 on OpenAlexaff
Luigino Dal Maso, Livia S. A. Augustin, Aspasia Karalis, Renato Talamini, Silvia Franceschi, Dimitrios Trichopoulos, Christos S. Mantzoros, Carlo La Vecchia

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2004
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAdiponectinEndometrial cancerMedicineOdds ratioBody mass indexHyperinsulinemiaInternal medicineConfidence intervalEndocrinologyObesityCancerGynecologyOncologyInsulin resistance

Abstract

fetched live from OpenAlex

Circulating levels of adiponectin, a hormone with insulin-sensitizing properties, are decreased in conditions related to obesity and hyperinsulinemia, which are recognized risk factors for endometrial cancer. Eighty-seven cases with incident, histologically confirmed endometrial cancer and 132 controls admitted for acute, nonneoplastic diseases were interviewed in northeastern Italy between 1999 and 2002, and blood samples were collected. Levels of adiponectin were evaluated in samples by means of a RIA. An inverse association with endometrial cancer risk emerged for plasma adiponectin levels [odds ratio (OR), 0.42; 95% confidence interval, 0.19-0.94] when comparing the highest vs. the lowest tertiles. Similar results emerged for serum adiponectin (OR, 0.30; 95% confidence interval, 0.14-0.68). The association was stronger in pre- than in postmenopausal women, but no significant heterogeneity was observed across strata of body mass index (BMI) or parity. BMI and adiponectin showed independent effects on the risk of endometrial cancer according to a multiplicative model (OR, 6.45 in the highest level of BMI and in the lowest one of adiponectin).

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
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 head0.049
GPT teacher head0.381
Teacher spread0.332 · 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.

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

Citations254
Published2004
Admission routes1
Has abstractyes

Explore more

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