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Record W3015200533 · doi:10.1177/0967772020914797

Misread and mistaken: Étienne Lancereaux’s enduring legacy in the classification of diabetes mellitus

2020· review· en· W3015200533 on OpenAlexaff
James R. Wright, Lynn McIntyre

Bibliographic record

VenueJournal of Medical Biography · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsDiabetes mellitusMedicineAutopsyPediatricsType 1 diabetesType 2 diabetesGerontologyInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Historians of diabetes have long claimed that physicians were aware of two distinct types of diabetes mellitus by the 1880s, and that these were the direct forerunners of type 1, juvenile-onset and type 2, adult-onset diabetes. French physician Étienne Lancereaux (1829–1910), based on autopsy and clinical studies, classified diabetes either as diabète maigre (thin, or more accurately emaciated, diabetes), which he believed to be pancreatic in origin with a poor prognosis, or diabète gras (fat diabetes), which he believed had a much better prognosis and was not pancreatic in origin. Historians citing Lancereaux have claimed that he observed the former to occur in young and the latter in middle-aged and elderly people. We review the papers of Lancereaux to clarify his clinical observations and understanding of diabetes. Lancereaux’s description of diabète maigre bores little resemblance to juvenile diabetes and all of his thin patients were middle-aged or older. On the other hand, his diabète gras is akin to type 2 diabetes and he might well deserve credit for its characterization.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.022
GPT teacher head0.293
Teacher spread0.271 · 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 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

Citations11
Published2020
Admission routes1
Has abstractyes

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