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Record W2973028609 · doi:10.1007/s13300-019-00687-y

Family Members: The Forgotten Players in the Diabetes Care Team (The TALK-HYPO Study)

2019· article· en· W2973028609 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

VenueDiabetes Therapy · 2019
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsWestern University
FundersNovo Nordisk
KeywordsHypoglycemiaMedicineDiabetes mellitusType 1 diabetesFamily medicineType 2 diabetesHealth carePediatricsNursingEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: The objective of this study was to establish the burden of hypoglycemia on family members of people with diabetes (PWDs) and to gain an understanding of how conversations about hypoglycemia can contribute to diabetes care. METHODS: This was a multinational cross-sectional study of family members of people with type 1 or type 2 diabetes taking insulin and/or secretagogues for ≥ 12 months who voluntarily completed an online questionnaire. RESULTS: Overall, 4300 family members of PWDs (type 1 [29%], type 2 [46%], unknown [25%]) were surveyed. Two in three family members (66%) reported thinking about the hypoglycemia of the PWD at least monthly, and 64% felt worried or anxious about the PWD's risk for hypoglycemia. There was general agreement among family members that more conversations about hypoglycemia would have a positive impact on the PWD's life (76%). CONCLUSIONS: Hypoglycemia can present a burden on the lives of family members of PWDs. Conversations about hypoglycemia, facilitated by a healthcare professional, may reduce this burden and hypoglycemia risk. FUNDING: Novo Nordisk A/S.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.015
GPT teacher head0.262
Teacher spread0.247 · 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