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Record W2168688725 · doi:10.2337/dc09-2256

Effect of Internet Therapeutic Intervention on A1C Levels in Patients With Type 2 Diabetes Treated With Insulin

2010· article· en· W2168688725 on OpenAlexaff
Hugh D. Tildesley, Adel B. Mazanderani, Stuart A. Ross

Bibliographic record

VenueDiabetes Care · 2010
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsUniversity of CalgarySt. Paul's HospitalUniversity of British Columbia
FundersAbbott Diabetes Care
KeywordsMedicineDiabetes mellitusType 2 diabetesInsulinInternal medicineIntervention (counseling)EndocrinologyType 1 diabetesThe InternetWorld Wide WebPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the effect of an Internet-based glucose monitoring system (IBGMS) on A1C levels in patients with type 2 diabetes treated with insulin. RESEARCH DESIGN AND METHODS: This trial involved 50 patients randomly assigned to receive either conventional treatment alone or with additional follow-up through an IBGMS for 6 months. Patients randomized to the intervention group uploaded blood glucose readings every 2 weeks to a secure Web site for review and receipt of feedback from their endocrinologist. A1C and laboratory test results were collected at 0, 3, and 6 months. RESULTS: The baseline parameters were not significantly different. Over a 6-month follow-up, A1C dropped from 8.8 to 7.6% (P < 0.001) in the intervention group compared with 8.5 to 8.4% (P = 0.51) in the control group. CONCLUSIONS: The use of IBGMS significantly improved A1C levels in patients with type 2 diabetes treated with insulin.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.008
GPT teacher head0.262
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations59
Published2010
Admission routes1
Has abstractyes

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