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Record W2444314661

TH9507: an experimental treatment for lipodystrophy.

2007· article· en· W2444314661 on OpenAlexaboutno aff
Anne K. Monroe

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsLipodystrophyAdipose tissueMedicineInsulin resistanceGrowth hormoneHormoneAbdominal fatNoticeClinical trialEndocrinologyInternal medicineHuman immunodeficiency virus (HIV)InsulinAntiretroviral therapyImmunologyObesity
DOInot available

Abstract

fetched live from OpenAlex

As the use of highly active antiretroviral therapy (HAART) became widespread, HIV positive individuals and their physicians began to notice changes in body fat distribution, with excess fat or fat loss noted in different areas. These body shape changes are sometimes accompanied by metabolic abnormalities, such as insulin resistance and elevated blood fats. Collectively, these changes are known as lipodystrophy syndrome. Treatment options for lipodystrophy are somewhat limited. Growth hormone has been used with success in clinical trials to reduce visceral adipose tissue, fat that collects around the abdominal organs. A new product, TH9507, a synthetic growth hormone releasing hormone analog made by the Canadian pharmaceutical company Theratechnologies, is currently showing promise in clinical trials and may represent a new treatment option for people with some types of lipodystrophy.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.056
GPT teacher head0.348
Teacher spread0.291 · 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 designNon-randomized trial
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
Published2007
Admission routes1
Has abstractyes

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