MétaCan
Menu
Back to cohort
Record W2073638477 · doi:10.1093/humrep/deg170

Stimulated intra-uterine insemination is not a natural choice for the treatment of unexplained subfertility: Current best evidence for the advanced treatment of unexplained subfertility

2003· review· en· W2073638477 on OpenAlexaff
John A. Collins

Bibliographic record

VenueHuman Reproduction · 2003
Typereview
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsDalhousie UniversityMcMaster University
Fundersnot available
KeywordsUnexplained infertilityMedicineInfertilityGynecologyIntrauterine inseminationRandomized controlled trialLive birthObstetricsInseminationArtificial inseminationAssisted reproductive technologyPregnancySurgeryAndrologyBiology

Abstract

fetched live from OpenAlex

When conventional treatment of unexplained infertility has not been successful, the next choice lies between either gonadotrophin treatment with intrauterine insemination (FSH/IUI) and IVF. Cohort studies indicate that FSH/IUI is less effective while the cost per birth is higher with IVF. The relevant evidence should come from randomized controlled trials, but the results need to be recalculated for the outcome of greatest interest, a singleton live birth. Judged by this standard, FSH/IUI is statistically superior to no treatment, but the effect is small in couples with unexplained infertility. By the same standard, IVF is superior to FSH/IUI treatment, but this benefit is achieved only at considerable cost. The evidence is not robust, comprising only a few trials which involve a minute fraction of the existing patients with unexplained infertility. Current best evidence is consistent with a progression from low-tech to high-tech treatment, but it is not convincing enough to support a rigid management protocol. A large multicentre factorial trial is needed to evaluate the relative value of existing empiric treatments for unexplained infertility.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
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 head0.218
GPT teacher head0.451
Teacher spread0.233 · 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 designOther design
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

Citations39
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueHuman ReproductionSame topicOvarian function and disordersFrench-language works237,207