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Record W2476278189 · doi:10.1002/dmrr.2825

Why China guidelines for type 2 diabetes represent an opportunity for treating this disease

2016· article· en· W2476278189 on OpenAlexaboutno aff
Ernesto Maddaloni, Paolo Pozzilli

Bibliographic record

VenueDiabetes/Metabolism Research and Reviews · 2016
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsChinaMedicineDiabetes mellitusQuarter (Canadian coin)Ethnic groupType 2 diabetesDiseaseIncidence (geometry)Chinese peopleFace (sociological concept)GerontologyPolitical scienceGeographyInternal medicineSociologyEndocrinology

Abstract

fetched live from OpenAlex

More than one quarter of people affected by type 2 diabetes worldwide live in China, where an alarming increase in diabetes incidence is taking place. However, most of the evidence about diabetes management derives from studies conducted on non-Asian people, raising concerns about their validity in other ethnic groups, including the Chinese. The guidelines proposed by the Chinese Diabetes Society suggest tools for medical doctors in China and worldwide to appropriately face diabetes in Chinese people, whose number in non-Chinese countries is continuously increasing. However, additional efforts are still needed to achieve an evidence-based tailored therapy for type 2 diabetes in Chinese people. Copyright © 2016 John Wiley & Sons, Ltd.

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)0.011
metaresearch head score (Gemma)0.030
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0130.003

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 head0.262
GPT teacher head0.453
Teacher spread0.191 · 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
GenreCommentary

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

Citations5
Published2016
Admission routes1
Has abstractyes

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