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Record W2107241890

Managing diabetes in childhood and adolescence.

2002· article· en· W2107241890 on OpenAlexaff
Joseph Curtis, Donna Hagerty

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsJaneway Children's Health and Rehabilitation Centre
Fundersnot available
KeywordsMedicineDiabetes mellitusHypoglycemiaMEDLINEDiseaseDiabetes managementFamily medicineDisease managementRandomized controlled trialPediatricsType 2 diabetesSurgery
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe management of children's and adolescents' diabetes outlining standards of care compatible with current clinical practice. QUALITY OF EVIDENCE: MEDLINE was searched using specified MeSH headings. Bibliographies of selected articles were used to find additional pertinent articles. Preference was given to randomized controlled trials, clinical practice guidelines, consensus statements, and task force recommendations. We also cite reviews of current practice regarding pediatric diabetes. MAIN MESSAGE: Managing children with diabetes presents a difficult challenge to parents and their advisors. Achieving good diabetic control is impossible unless parents are properly instructed in practical management of the disease. Children with diabetes should be managed quite differently from adults in several respects. Avoiding hypoglycemia is most important, particularly for preschool children. Higher target blood glucose levels than would be accepted for adults are both justifiable and necessary for preschool children. Controlling children's diabetes depends as much on personal factors and family adjustment as it does on insulin, food plans, and exercise. CONCLUSION: Diabetes mellitus is difficult to manage at any age. Managing children's diabetes successfully requires continuous education and encouragement of parents and children. Pediatric diabetes care teams and family physicians play a vital role in encouraging children to control their disease while participating fully in normal childhood activities.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.216
Teacher spread0.196 · 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

Citations18
Published2002
Admission routes1
Has abstractyes

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