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Record W1983374289 · doi:10.2174/138161212799315984

New Therapies in Cystic Fibrosis

2012· review· en· W1983374289 on OpenAlexaff
Félix Ratjen, Hartmut Grasemann

Bibliographic record

VenueCurrent Pharmaceutical Design · 2012
Typereview
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsHospital for Sick ChildrenSickKids Foundation
Fundersnot available
KeywordsCystic fibrosisCystic fibrosis transmembrane conductance regulatorMedicineDiseaseLungMucusInternal medicinePathologyBiology

Abstract

fetched live from OpenAlex

Cystic fibrosis is caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene that lead to abnormalities in transepithelial ion transport in the airways of affected patients. Lung disease is the major contributor to morbidity and mortality in patients with cystic fibrosis but recommended therapeutic interventions so far have focussed on symptom control rather than treatment of the underlying causes of the disease. New therapies that are currently in pre-clinical and clinical testing include CFTR pharmacotherapy, drugs targeting other ion channels, and hydrators of the cystic fibrosis airways. The current status of these and other new developments in the treatment of cystic fibrosis are reviewed Keywords: Cystic fibrosis, lung disease, therapy, mutations, transmembrane conductance regulator (CFTR) gene, airways, mucus retention, bacterial infection, neutrophilic inflammation, osmotic gradient

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.291
GPT teacher head0.496
Teacher spread0.205 · 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; both teacher heads agree on what is shown here.

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

Citations23
Published2012
Admission routes1
Has abstractyes

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