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Record W4283761173 · doi:10.1093/humrep/deac107.154

P-159 The role of Embryo transfer medium containing high concentrations of hyaluronic acid on IVF outcome: A systematic review and meta-analysis

2022· review· en· W4283761173 on OpenAlexaff
Iain A. Smith, Alex C. Varghese, K Jayaprakasan

Bibliographic record

VenueHuman Reproduction · 2022
Typereview
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsOttawa Fertility Centre
Fundersnot available
KeywordsMiscarriageLive birthEmbryo transferMedicineCochrane LibraryMeta-analysisPregnancy rateIn vitro fertilisationPregnancyEmbryo cultureObstetricsSubgroup analysisGynecologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract Study question Does embryo transfer medium containing high concentrations of hyaluronic acid (HA) increase In Vitro Fertilisation (IVF) success rate? Summary answer Embryo transfer medium containing high concentration of HA has increased the live birth (LBR) and clinical pregnancy rate (CPR) whilst decreasing the miscarriage rate. What is known already The recent Cochrane systematic review reported low to moderate evidence to support the use of high concentration hyaluronic acid (HA) in the treatment group. Previous studies have also shown no effect of high concentration HA on frozen embryo transfer (FET) rate and have identified the supplementation of the transfer media with HA to have no significance on adverse effect rate. Study design, size, duration A literature search was performed on three online databases: Ovid Medline, PsychInfo and Central Cochrane. 1162 citations were retrieved and after screening abstracts and titles 1099 citations were removed and a following 37 removed after screening full texts. This left 26 publications for the review. Bias was assessed for in RCTs using Cochrane collaboration tool of bias and STROBE for observational studies. Meta-analysis was performed using Review manager identifying the risk ratio (RR) and heterogeneity. Participants/materials, setting, methods In the review, 6304 participants in the treatment group and, 5965 in the control group were included. The primary outcomes was LBR and secondary outcomes were CPR; miscarriage rate; multiple pregnancy rate; ectopic pregnancy and congenital abnormalities. A subgroup analysis was performed looking into the outcome based on the stage of embryos transferred, the exposure time to the transfer medium and difference between frozen and fresh embryo transfer. Main results and the role of chance There was a significant increase in LBR (RR: 1.25; 95% CI 1.17 to 1.33) with use of high concentration HA and this positive effect was seen in both cleavage stage and blastocyst transfer cycles. CPR was also higher (RR: 1.16 (95% CI 1.10 to 1.22), while Miscarriage rate was significantly reduced (RR: 0.75; 95% CI 0.66 to 0.85) in the treatment group. Multiple pregnancy rate were higher in the study group (RR: 1.33; 95% CI: 1.16 to 1.53), although one study had a large influence on these results. The ectopic pregnancy rates (RR: 0.62; 95% CI 0.19 to 1.99) and congenital abnormalities (RR: 0.84; 95% CI 0.37 to 1.92) were similar. On subgroup analysis, the higher LBR was seen only for fresh cycles (RR: 1.2; 95% CI 1.1 to 1.3) but were similar for frozen embryo transfer (RR: 0.99; 95% CI 0.8 to 1.24). Further, LBR were higher in both short (10 minutes) and long exposure (>10 minutes) groups (RR: 1.32; 95% CI 1.19 to 1.45 and RR: 1.23; 95% CI 1.14 to 1.33 respectively. Limitations, reasons for caution The high heterogeneity across the studies may increase the risk of bias in the results. Inclusion of observational studies also has an inherent risk of selection bias. The review did not have a restrictive exclusion criterion resulting in inclusion of patients from a large demographic, limiting the specificity of results. Wider implications of the findings The data from this review support the use of embryo transfer medium containing high concentration of HA during fresh IVF cycles but not for frozen cycles. However, a large RCT is warranted particularly for selected groups like women of advanced maternal age and those with recurrent implantation failure. Trial registration number Not applicable

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)0.010
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.028
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0190.036
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.109
GPT teacher head0.359
Teacher spread0.250 · 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 designMeta-analysis
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

Citations0
Published2022
Admission routes1
Has abstractyes

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