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Record W2799620257 · doi:10.1139/cjpp-2017-0786

Clinical efficacy and mechanism of growth hormone action in patients experiencing repeat implantation failure

2018· article· en· W2799620257 on OpenAlexvenueno aff
Ye Chen, Fenghua Liu, Yingqi Nong, Jianxing Ruan, Qingqing Guo, Ming Luo, Qianwen Huang

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2018
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsnot available
Fundersnot available
KeywordsGrowth hormone receptorFollicular fluidInternal medicineEndocrinologyEmbryo transferFollicular phaseIn vitro fertilisationPregnancyMedicineHormoneBiologyGrowth hormoneAndrologyEmbryo

Abstract

fetched live from OpenAlex

The objectives of this study were to investigate the clinical efficacy of growth hormone (GH) in patients experiencing repeat implantation failure (RIF) and explore the possible mechanism. Forty-two RIF patients undergoing in vitro fertilization - embryo transfer (IVF-ET) were enrolled in the present trial: 22 patients who received GH (treatment group) and 20 who did not receive GH (controls). The clinical pregnancy and live birth rates in the treatment group were significantly higher than those in the control group (both P < 0.05). The treatment group expressed significantly higher levels of growth hormone receptor (GHR) mRNA than the control group (P < 0.05). Further analysis showed that GH levels in follicular fluid were positively correlated with the expression levels of mRNA encoding GHR in granulosa cells (r = 0.460, P < 0.05). GH treatment enhanced IVF pregnancy outcomes and increased the expression of GHR in granulosa cells in fluid. GH levels in follicular fluid were positively correlated with the expression levels of GHR.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0010.000

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 head0.023
GPT teacher head0.324
Teacher spread0.301 · 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 designObservational
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

Citations22
Published2018
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Physiology and PharmacologySame topicOvarian function and disordersFrench-language works237,207