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Record W4327681959 · doi:10.1097/md.0000000000033113

Inflammatory bowel disease can reduce ovarian reserve function in women: A systematic review and meta-analysis

2023· review· en· W4327681959 on OpenAlexaboutno aff
Lin Guo, Yi Liu, Jiansheng Li, Quan Liu, Bing Liu, Xuewen Shi

Bibliographic record

VenueMedicine · 2023
Typereview
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsnot available
Fundersnot available
KeywordsOvarian reserveMedicineMeta-analysisInflammatory bowel diseasePopulationGynecologyDiseaseInfertilityInternal medicinePregnancy

Abstract

fetched live from OpenAlex

PURPOSE: We conducted a systematic review and meta-analysis to examine the role of inflammatory bowel disease (IBD) in ovarian reserve functions. METHODS: The PECO strategy was employed. Women of reproductive age (Population) and with IBD (Exposure) were compared with healthy women of reproductive age (Comparison) to evaluate the ovarian reserve function (Outcome). Two reviewers searched three databases as well as relevant gray literature. After following the PRISMA 2020 guidelines, RevMan 5.0 software and Newcastle-Ottawa Scale (NOS) scoring were used to analyze and summarize the data included in the studies. The protocol was registered on PROSPERO (CRD42021267804). RESULTS: The search yielded 367 studies, out of which 13 were selected for full-text evaluation, and finally, seven studies were included in our research. An analysis of ovarian reserve function in IBD women of reproductive age and healthy women revealed that the ovarian reserve function was lower in IBD women of reproductive age than in healthy women (P < .01, I2 = 81%); the ovarian reserve function was significantly lower in women with IBD in remission than in healthy women (P < .01, I2 = 0%), and ovarian reserve function was lower in IBD women of reproductive age taking thalidomide than in healthy women (P < .01, I2 = 18%). CONCLUSION: IBD could reduce ovarian reserve function in women of reproductive age, and patients should plan for conception as soon as possible under permissible conditions.

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)0.003
metaresearch head score (Gemma)0.003
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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.803
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0100.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.096
GPT teacher head0.351
Teacher spread0.255 · 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 designSystematic review
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

Citations13
Published2023
Admission routes1
Has abstractyes

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