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Record W2485492130 · doi:10.17925/use.2015.11.02.70

Progress of Islet Transplantation over the Last 15 Years

2015· article· en· W2485492130 on OpenAlexaff
Mohammed Almehthel, Breay W. Paty, David Thompson

Bibliographic record

VenueUS Endocrinology · 2015
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineGlycemicHypoglycemiaDiabetes mellitusType 1 diabetesTransplantationIntensive care medicineIsletIslet cell transplantationInsulinQuality of life (healthcare)PediatricsInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Diabetes mellitus prevalence is increasing worldwide. Type 1 diabetes (T1DM), which is caused mainly by autoimmune destruction of beta cells, accounts for approximately 5–10 % of all diabetes. Intensive glycemic control has been shown to reduce complications of T1DM. However, this has been difficult to achieve and is usually associated with frequent hypoglycemia. Islet transplantation (IT) has emerged as an acceptable method for the treatment of patients with T1DM who suffer for frequent severe hypoglycemia and/or glycemic lability. Although initial success was limited, improvement in IT has been observed over the last 15 years. The 5-year insulin independence rate approaches 30–50 % in some experienced centers. Even without achieving insulin independence, IT has significant benefits including prevention of hypoglycemia, stabilization of glycemic control, reduction in some complications of diabetes, and improvement in quality of life. Here, we provide a brief review on IT including its history, selection of IT candidates, description, and complications of the procedure and outcomes.

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)0.003
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.280
Teacher spread0.257 · 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
GenreReview

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

Citations0
Published2015
Admission routes1
Has abstractyes

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