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Record W2154532140 · doi:10.1586/eog.09.10

Pathophysiology of ovarian hyperstimulation syndrome and strategies for its prevention and treatment

2009· article· en· W2154532140 on OpenAlexaff
Barış Ata, Togas Tulandi

Bibliographic record

VenueExpert Review of Obstetrics & Gynecology · 2009
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsOvarian hyperstimulation syndromeMedicineHuman chorionic gonadotropinPathogenesisInfertilityGonadotropinInternal medicineGynecologyIn vitro fertilisationEndocrinologyBioinformaticsPregnancyHormone

Abstract

fetched live from OpenAlex

Ovarian hyperstimulation syndrome (OHSS) is characterized by ovarian enlargement, ascites and pleural effusion. Most cases of OHSS develop after ovarian stimulation with gonadotropins. The basis of the process is increased vascular permeability, and this is related to VEGF. VEGF is produced in granulosa cells in response to gonadotropin stimulation and its secretion is augmented following human chorionic gonadotropin administration. One of the major risk factors is polycystic ovaries. Preventive strategies include mild stimulation protocols, coasting, in vitro maturation, infusion of macromolecule solutions and coadministration of dopamine agonists. OHSS is a self-limiting condition and most cases can be managed with paracentesis and fluid replacement. In this article, we review pathogenesis, risk factors, strategies for prevention and management of OHSS.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.327
Teacher spread0.298 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations24
Published2009
Admission routes1
Has abstractyes

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