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Record W4288456725 · doi:10.36171/jamd22.25.2.3

The discovery of the antidiabetic hormone and the myth of Banting and Best

2022· article· it· W4288456725 on OpenAlexaboutno aff
Alejandra de Leiva-Pérez

Bibliographic record

VenueThe Journal of AMD · 2022
Typearticle
Languageit
FieldMedicine
TopicHistorical Medical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Nel 2021, le celebrazioni per il 100° anniversario della scoperta dell’insulina sono state numerose, sottolineando, in particolare, il ruolo di Banting e Best. A seguito di una revisione sull’organoterapia del diabete mellito sperimentale ed umano abbiamo concluso che le ricerche effettuate in Europa tra il 1889 e il 1921 sono state decisive per la scoperta dell’ormone antidiabetico. Conformemente alle premesse della “regola di priorità”, tre ricercatori europei furono i pionieri nella scoperta: E. Gley (Parigi, 1905), G. Zülzer (Berlino, acomatol, 1908) e N. Paulescu (Bucarest, pancreina, 1920). Le circostanze socioeconomiche e politiche della Prima Guerra Mondiale e del periodo interbellico hanno influenzato in modo critico il ritardo della ricerca europea nel processo di purificazione degli estratti pancreatici. I ricercatori dell’Università di Toronto non hanno scoperto l’ormone antidiabetico. Il loro risultato principale è stato la purificazione dell’estratto pancreatico, che ha reso possibile l’introduzione dell’insulina nella pratica clinica nel 1922. Grazie alle ricerche di storici della medicina (soprattutto M. Bliss) è stato possibile smontare il mito di Banting e Best, ancora accettato da molte istituzioni e associazioni di diabete. PAROLE CHIAVE ormone antidiabetico; scoperta dell’insulina; centenario dell’insulina; acomatol; pancreina.

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)0.004
metaresearch head score (Gemma)0.002
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 score0.427
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.264
Teacher spread0.252 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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