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Record W2511408899 · doi:10.2337/diaspect.29.3.180

Commentary: Why Was Inhaled Insulin a Failure in the Market?

2016· article· en· W2511408899 on OpenAlexaboutno aff
Jacob Oleck, Shahista Kassam, Jennifer D. Goldman

Bibliographic record

VenueDiabetes Spectrum · 2016
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInsulinSyringeInsulin penInsulin pumpDiabetes mellitusIntensive care medicineSurgeryType 1 diabetesInternal medicineEndocrinologyPsychiatry

Abstract

fetched live from OpenAlex

Just a few years shy of a century ago, a group of Canadian researchers discovered a viable method of extracting insulin, filling a large and critical gap in the therapeutic treatment of diabetes (1). Since then, insulin and its associated delivery devices have become an integral part of the care and management of patients living with diabetes. Shortly after the first insulin injection was successfully delivered, vials of insulin became available commercially. At this time, large glass syringes were used to administer insulin, and each injection required sterilization of the syringe, as well as sharpening of the syringe needle with a pumice stone. Through the years, insulin syringes modernized, but it was not until the 1970s that an alternate delivery system—the insulin pump, used in continuous subcutaneous insulin infusion (CSII) regimens—became available. Fifteen years later, the first insulin pen was introduced to the marketplace, providing evidence that, as time progresses, there is no shortage of innovation in the diabetes arena. The first two rapid-acting inhaled insulins on the market—Exubera in 2006 and Afrezza in 2014—represented yet another innovation milestone. In theory, inhaled insulin completely eliminated the psychological barriers associated with subcutaneous insulin delivery, such as needle phobia and incorrect injection technique. However, in October 2007, Pfizer withdrew Exubera from the market, and in January 2016, Sanofi withdrew from a $925 million marketing agreement with MannKind for Afrezza; both removals were due to poor sales volume. Although patients and providers have been searching for years for alternatives to injecting insulin, Exubera has already failed, and Afrezza’s destiny is uncertain. In 2006, Exubera was the first inhaled insulin approved by the U.S. Food and Drug Administration (FDA). It showed noninferiority in efficacy with regard to A1C lowering in both type 1 diabetes (2) and type 2 diabetes (3) compared to mixed regular/NPH …

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)0.007
metaresearch head score (Gemma)0.068
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 score0.079
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.068
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0050.006
Scholarly communication0.0050.008
Open science0.0070.002
Research integrity0.0790.058
Insufficient payload (model declined to judge)0.0230.015

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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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

Citations81
Published2016
Admission routes1
Has abstractyes

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