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Record W4252147118 · doi:10.24908/iqurcp.9438

19. Anti-Angiogenic Therapy for Endometriosis

2018· article· en· W4252147118 on OpenAlexvenueno aff
Privia A. Randhawa

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsEndometriosisAngiogenesisProgenitor cellStromal cellMedicineEndometriumInfertilityEndothelial progenitor cellVascular endothelial growth factorCD34LesionCancer researchInternal medicinePathologyVEGF receptorsStem cellPregnancyBiology

Abstract

fetched live from OpenAlex

Endometriosis is a gynecological disease affecting 10 to 15% women. The disease is characterized by the growth of endometrium (lining of the uterus) outside of the uterine cavity. Women affected by this condition can experience symptoms that include pelvic pain, irregular bleeding, and infertility. One of the key requirements for endometriotic lesions to survive is to develop a blood supply to support their growth. Our laboratory is investigating mechanisms of how endometriotic lesions establish their blood supply and how neo-angiogenesis is regulated by endothelial and hematopoietic progenitor cells. Results from our laboratory showed that stromal cell derived factor-1 plays an important role in the recruitment of endothelial progenitor cells. Blocking of SDF-1 in a mouse model of endometriosis resulted in reduced lesion growth and survival. Studies are in progress to evaluate safety and efficacy of anti-angiogenic peptide, ABT-898, in an immunodeficient mouse model of endometriosis.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.176
GPT teacher head0.435
Teacher spread0.259 · 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
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
Published2018
Admission routes1
Has abstractyes

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