Assisted Reproduction Outcomes for 12,071 Patients in Chengdu, 2019-2022
by Xuefei Li·Updated 1mo ago
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Description
A retrospective cohort study of 12,071 infertile patients who underwent fresh embryo transfer at a reproductive medical center in Chengdu, China, between 2019 and 2022. The research investigates the interaction effects of ovarian markers (AMH, AFC, FSH) and endometrial thickness on assisted reproductive technology outcomes, including biochemical pregnancy, clinical pregnancy, and live birth. The dataset was authored by Xuefei Li and shared under a CC-BY-4.0 license.
Use Cases
Modeling the association between endometrial thickness and pregnancy outcomes based on the reported hazard ratios.
Analyzing the modifying effect of Anti-Müllerian Hormone (AMH) levels on clinical pregnancy rates.
Stratifying patient outcomes based on Antral Follicle Count (AFC) thresholds derived from ROC analysis.
Conducting sensitivity analyses to verify the robustness of findings from Cox proportional hazards models.
Strengths
Includes 12,071 patient records from a large reproductive medical center.
Covers a defined time range from 2019 to 2022.
Analysis employs multivariable-adjusted Cox regression and reports specific hazard ratios and confidence intervals.
Sensitivity analyses were performed to verify the robustness of the findings.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count for the underlying data is unknown, which may limit suitability assessment.
Data reflects a specific geographic and temporal context from a single center in Chengdu, China.
Provenance
Source
Retrospective cohort study from a large reproductive medical center in Chengdu, China.
Collection Method
Clinical data collection and analysis using ROC curves and Cox proportional hazards models.
Time Range
2019 to 2022
Freshness
Last updated 2026-05-01 12:17:00; freshness should be verified.
Geography
Chengdu, China
The primary file format is DOCX (59.4 KB), which is a document format; the underlying tabular data may be embedded within the document and require extraction.