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Record W2530250645 · doi:10.2337/dc14-1380

Comment on Bordeleau et al. The Association of Basal Insulin Glargine and/or n-3 Fatty Acids With Incident Cancers in Patients With Dysglycemia. Diabetes Care 2014;37:1360–1366

2014· letter· en· W2530250645 on OpenAlexaff
Marjolein M.J. Zanders, Andrew G. Renehan, Samantha L. Bowker, Bendix Carstensen, Lonneke V. van de Poll‐Franse, Jeffrey Johnson

Bibliographic record

VenueDiabetes Care · 2014
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineInsulin glargineDiabetes mellitusBasal insulinInternal medicineBasal (medicine)Type 2 diabetesEndocrinologyInsulin

Abstract

fetched live from OpenAlex

The recent findings from the Outcome Reduction With Initial Glargine Intervention (ORIGIN) trial that insulin glargine has a neutral association with cancer outcomes are, as Bordeleau et al. (1) state, “reassuring,” but we suggest that they are not yet conclusive. Observational studies initially supported the hypothesis that glargine is linked with an increased cancer risk. Many of the earlier studies were justifiably criticized for methodological limitations and were arguably inconclusive. Results from the ORIGIN trial (2) seemed to bring a clearer picture. Although cancer was a post hoc end point, the findings were relevant: no differences between treatment arms for all cancer incidence or deaths, or …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.041
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.004
Open science0.0030.001
Research integrity0.0410.033
Insufficient payload (model declined to judge)0.0080.013

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 head0.004
GPT teacher head0.212
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations5
Published2014
Admission routes1
Has abstractyes

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