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Record W1999285472 · doi:10.1513/pats.201201-007aw

STAT3: A Central Mediator of Pulmonary Fibrosis?

2012· review· en· W1999285472 on OpenAlexaff
Cecilia M. Prêle, Eric Yao, Robert J.J. O’Donoghue, Steven E. Mutsaers, Darryl A. Knight

Bibliographic record

VenueProceedings of the American Thoracic Society · 2012
Typereview
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsUniversity of British ColumbiaSt. Paul's Hospital
Fundersnot available
KeywordsMedicineIdiopathic pulmonary fibrosisFibrosisPulmonary fibrosisLungDiseasePathologicalWound healingCancer researchPathologyImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Pulmonary fibrosis is a devastating, relentlessly progressive, and lethal disease. There is a significant unmet need for effective treatment since currently no FDA-approved therapies exist. Current thinking suggests that idiopathic pulmonary fibrosis (IPF) is initiated by pathways similar to normal wound healing, but relentless fibrosis occurs secondary to absent or defective inhibitory mechanisms that normally terminate wound healing. The heterogeneous pathological presentation of fibrosis suggests that the anatomic location and origin of fibroblasts and other cells might be critical for their phenotype and function and will impact on strategies to prevent or treat fibrotic lung diseases. This review summarizes our current understanding of the pathobiology of IPF, with a specific focus on the role of STAT3 in regulating cellular responses that may contribute to or inhibit pro-fibrotic processes. An improved understanding of the complex cell-type specific roles that this transcription factor plays in normal lung and in fibrosis is required to determine its suitability as an effective therapeutic target.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.346
Teacher spread0.307 · 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.

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

Citations54
Published2012
Admission routes1
Has abstractyes

Explore more

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