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Record W4283760375 · doi:10.1093/humrep/deac107.405

P-428 Fertility outcomes following treatment of chronic endometritis: a systematic review and meta-analysis

2022· review· en· W4283760375 on OpenAlexaff
A Dhatt, Chloé Rozon, Jenna Gale, Chieh-Chen Wu

Bibliographic record

VenueHuman Reproduction · 2022
Typereview
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineInfertilityLive birthEndometritisPregnancyFertilityMiscarriageMeta-analysisObservational studyObstetricsPregnancy rateGynecologyRecurrent miscarriageSystematic reviewMEDLINEInternal medicinePopulation

Abstract

fetched live from OpenAlex

Abstract Study question To determine if treatment of chronic endometritis (CE) impacts fertility outcomes Summary answer Treatment of CE in women with infertility, recurrent pregnancy loss, or recurrent implantation failure, improves live birth outcomes What is known already Chronic endometritis is an inflammatory condition that involves plasma cells invading the endometrial stroma. Prevalence of CE is high among patients with recurrent pregnancy loss (RPL), recurrent implantation failure (RIF), and infertility. Proposed treatment strategies include oral antibiotics, intrauterine antibiotic infusion, platelet-rich plasma, and hysteroscopic surgery, among others. Although treatment-associated CE cure rates have been high, few studies have reported on fertility outcomes following treatment of CE. Previously published systematic reviews have also yielded widely conflicting outcomes regarding the impact of CE treatment on fertility outcomes. Study design, size, duration We conducted a systematic search of the literature until late December 2021 across the Cochrane, EMBASE, and Medline databases. We used a DerSimonian and Laird random-effects meta-analysis model for the quantitative analysis. Participants/materials, setting, methods Clinical trials, prospective and retrospective observational studies that examined the treatment outcomes of CE were included. Study eligibility assessment, data extraction, and risk of bias assessment were independently performed by two reviewers. Comparisons were made between the groups of treated versus untreated CE, treated versus persistent CE, and between specific treatment strategies. Pooled risk ratios (RR) for the impact of CE treatment on outcomes such as live birth, clinical pregnancy, and miscarriage rates were assessed Main results and the role of chance Twelve studies totalling 1,539 women were included in our systematic review (3 randomized controlled trials and 9 observational studies), and 5 studies were included in the quantitative meta-analysis. Patients all had confirmed CE and a history of infertility, RPL, or RIF. Cure rates ranged between 37.2-91.8%. Live birth rate in the treated CE group ranged from 27.1-84.6%, from 16.4-44.4% in the non-treated CE group, and from 6.7-30.8% in the persistent CE group. Clinical pregnancy rate in the treated CE group ranged from 29.3-76.3%, from 11.1-30% in the non-treated CE group, and from 20-42.3% in the persistent CE group. Miscarriage rate in the treated CE group ranged from 6.7-23.8%, from 35.7-55.6% in the non-treated CE group, and from 27.3-66.7% in the persistent CE group. Risk ratio for the pooled effect of successful CE treatment compared to persistent CE on live birth was 2.98 (95% confidence ratio [CI] 1.51-5.91, I2=36.8%), on clinical pregnancy rate was 2.25 (95% CI 1.59-3.18, I2=40.1%), and on miscarriage rate was 0.55 (95% CI 0.28-1.10, I2=0.0%). Insufficient studies compared specific treatment subtypes to allow for any substantive qualitative or quantitative analysis. Limitations, reasons for caution Our results are limited by significant between-study heterogeneity in the study design, patient population, and comparisons used. Subgroup analysis by categories of comparisons mitigates some of this heterogeneity Wider implications of the findings Adequate treatment of CE significantly improves live birth rates in patients with RPL, RIF, and infertility. Assessment for CE should become part of routine fertility investigations, and resolution of CE must be confirmed prior to initiating fertility treatments. 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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.626
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0140.006
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.162
GPT teacher head0.377
Teacher spread0.215 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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