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Record W2081847060 · doi:10.1002/jso.10043

Bone mineral density in well‐differentiated thyroid cancer patients treated with suppressive thyroxine: A systematic overview of the literature

2001· review· en· W2081847060 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

VenueJournal of Surgical Oncology · 2001
Typereview
Languageen
FieldMedicine
TopicThyroid Disorders and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineBone mineralConfoundingSubclinical infectionThyroid cancerBone remodelingInternal medicineOncologyThyroidectomyCancerMEDLINEEndocrinologyThyroidOsteoporosis

Abstract

fetched live from OpenAlex

BACKGROUND: The effects of subclinical hyperthyroidism on bone mineral density (BMD) induced by suppressive thyroxine therapy in patients with well-differentiated thyroid cancer (WDTC) remains unclear. An overview of the current literature was undertaken to evaluate studies to date. METHODS: A systematic medline search yielded a total of 11 studies appropriate for review which included premenopausal women, postmenopausal women, and men on suppressive thyroxine post thyroidectomy for WDTC. Main outcome measures were bone mineral density and bone turnover markers. CONCLUSIONS: Although studies were limited by small numbers and varying degrees of control for confounding variables, results suggested no significant change in bone mineral density for premenopausal women or men. Findings for postmenopausal women remain unclear with two of the best controlled studies reporting opposing results. Further studies for this population are recommended to help guide clinical practice.

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)0.000
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.276
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.026
GPT teacher head0.329
Teacher spread0.302 · 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