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Record W4211174174 · doi:10.3390/diabetology3010010

Insulin Past, Present, and Future: 100 Years from Leonard Thompson

2022· article· en· W4211174174 on OpenAlexaboutno aff
Stuart J. Brink

Bibliographic record

VenueDiabetology · 2022
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsInsulinDiabetes mellitusMedicineBLISSPancreasSyringeInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Before the discovery of insulin and the critical role of the pancreas vis-à-vis diabetes mellitus pathophysiology, childhood diabetes or what we now call type 1 or autoimmune diabetes mellitus was almost universally fatal. In limited-resource countries (LRC) around the world, this remains sadly true because of the expense and unavailability of medical care, medical information, and/or medications. In 1889, Minkowski and Mering identified the pancreas as the likely source of the problem in pancreatectomized dog experiments, and Langerhans, working with Virchow, identified the islands of pancreatic tissue now named after Langerhans as the likely source of the problem. Prior to that, Cawley, Boucherdat, Zuelzer, Gley, de Meyer, Schafer, Scott, Kleiner, and Paulescu all worked on this problem with varying results until Banting, Best, MacLeod, and Collip in Toronto in 1921 successfully treated pancreatectomized dogs with an alcohol-based pancreatic extract and then were the first to do the same with children and adults with diabetes, starting with Leonard Thompson in early 1922. Urinary and blood glucose levels were reduced, and clinical symptoms decreased concurrently. The magnificent medical historical work by Professor Michael Bliss, also from Toronto, as well as an excellent US NPR Television documentary, describes the trials and tribulations of this event that culminated in the “fastest Nobel Prize” awarded. Progressive biopharmaceutical advances have modified insulin from pigs and cows and then genetically engineered insulin to work much faster and also much slower to provide more modernized ways of providing insulin. Insulin pens then replaced vial and syringe administration, and then insulin pumps coupled with continuous blood glucose sensors have made delivery more physiologic in addition to more attention paid to nutrition advice, education, and psychosocial support around the world. Programs to assist delivery of expensive insulin to LRC administered by Insulin for Life, Life for a Child (LFAC), Changing Diabetes in Children (CDIC) coupled with support by ISPAD (International Society for Pediatric and Adolescent Diabetes) have continued to make such advances available thorough wonderful philanthropy in insulin manufacturers and manufacturers of blood glucose monitoring equipment and insulin pump/sensor suppliers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.999

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)0.0020.000

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 head0.017
GPT teacher head0.280
Teacher spread0.263 · 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.

Study designNot applicable
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

Citations9
Published2022
Admission routes1
Has abstractyes

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