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Record W2168712539 · doi:10.1024/0300-9831.76.1.34

Effects of Short-Term Supplementation with Ascorbate, Folate, and Vitamins B<sub>6</sub> and B<sub>12</sub> on Inflammatory Factors and Estrogen Levels in Obese Postmenopausal Women

2006· article· en· W2168712539 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal for Vitamin and Nutrition Research · 2006
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsColumbia College
FundersNational Institute on Aging
KeywordsEstrogenEndocrinologyInternal medicineTerm (time)B vitaminsChemistryMedicinePhysics

Abstract

fetched live from OpenAlex

Little is known about the effects of commonly used vitamins on serum inflammatory markers and the hormonal balance in obese postmenopausal women. We studied the effects of an 8-week open-label supplementation with vitamins C (500 mg), B6 (25 mg), B12 (1 mg), and folate (5 mg) on C-reactive protein, interleukin-6, and estradiol levels in 20 obese (body mass index > or = 30) postmenopausal women. Outcomes were assessed in a blinded fashion. Folate and vitamin B12 levels rose significantly, suggesting that the supplement was well absorbed and that participants adhered to the protocol. Weight, blood pressure, and serum lipids remained stable. C-reactive protein, interleukin-6, and leptin levels remained unchanged. Estradiol levels rose from a median of 22.0 pg/mL (IQR = 15.9-25.8) at baseline to a median of 27.8 pg/mL (IQR = 23.1-33.9) at follow-up (p = 0.003). Increments in serum estradiol caused by vitamin supplementation in postmenopausal women have not been previously described and probably merit further investigation.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.026
GPT teacher head0.346
Teacher spread0.320 · 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