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Continuous Glucose Monitoring in Pregnant Women With Type 1 Diabetes (CONCEPTT): A Multicentre International Randomized Controlled Trial

2018· article· en· W2888095432 on OpenAlex
D.S. Feig, Lois Donovan, KG Murphy, Stephanie A. Amiel

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

VenueObstetric Anesthesia Digest · 2018
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsSinai Health System
Fundersnot available
KeywordsMedicineGlycemicPregnancyType 2 diabetesPreeclampsiaObstetricsType 1 diabetesRandomized controlled trialDiabetes mellitusContinuous glucose monitoringInsulinAdverse effectInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

( Lancet 2017;390:2347–2359) Pregnant women with type 1 diabetes are at increased risk of preeclampsia, cesarean delivery, congenital anomalies, and other adverse pregnancy outcomes. While optimal glycemic control during pregnancy can improve outcomes, it is difficult to accomplish due to the complexity of insulin dose adjustments, changes in insulin sensitivity, and variability of insulin absorption that all occur during pregnancy. Continuous glucose monitoring (CGM) has been successful at improving glycemic control in nonpregnant women but studies in pregnant women have had conflicting results. This study aimed to evaluate the effects of CGM in women with type 1 diabetes who were pregnant or planning to become pregnant.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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