ArticleJournal of clinical laboratory analysis2021
The diagnostic value of the combination of hemoglobin, CA199, CA125, and HE4 in endometriosis.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Diagnostic accuracy of machine learning for endometriosis: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- MMP-9 as a clinical marker for endometriosis: a meta-analysis and bioinformatics analysis.Frontiers in endocrinology · 2024Pooled it
- Diagnostic significance of neutrophil to lymphocyte ratio in endometriosis: a systematic review and meta-analysis.BMC women's health · 2023Pooled it
- A Clinical Diagnostic Value Analysis of Serum CA125, CA199, and HE4 in Women with Early Ovarian Cancer: Systematic Review and Meta-Analysis.Computational and mathematical methods in medicine · 2022Pooled it
- Endometriosis: Epidemiology, Risk Factors, Molecular Mechanisms, Diagnosis, and Management.MedComm · 2026Review
- CA125 Outperforms HE4 and CA19-9 as a Serum Biomarker for Preoperative Diagnosis of Ovarian Endometriomas: A Retrospective Cohort Study.Reproductive sciences (Thousand Oaks, Calif.) · 2026Article
- Clinical value of clinical symptoms, serum biomarkers, and coagulation parameters for ovarian endometrioma diagnosis.Journal of ovarian research · 2026Article
- Gut microbiota composition and systemic immune-inflammatory marker correlations in infertile women with endometriosis: a pilot case-control study.Frontiers in cellular and infection microbiology · 2026Article
- A Machine Learning-Based Prediction Model for Deep Infiltrating Endometriosis.International journal of women's health · 2026Article
- Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk.Scientific reports · 2025Article
- Potential biomarkers for early detection of endometriosis: current state of art (what we know so far).Journal of applied genetics · 2025Review
- Diagnostic Value of Serum Cancer Antigen 125, Carcinoembryonic Antigen, Cancer Antigen 19-9, Anti Müllerian Hormone, White Blood Cell Count, Platelet Count, and Neutrophil to Lymphocyte Ratio in Endometriosis: A Retrospective Study.International journal of fertility & sterility · 2025Article
- Endometriosis: Challenges in Clinical Molecular Diagnostics and Treatment.International journal of molecular sciences · 2025Review
- Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study.Scientific reports · 2025Article
- Article
- The coagulation status in women of endometriosis with stage IV.BMC women's health · 2024Article
- Serum HSF1 is upregulated in endometriosis patients and serves as a potential diagnostic biomarker.The Kaohsiung journal of medical sciences · 2023Article
- Inflammatory Markers in Women with Infertility: A Cross-Sectional Study.International journal of general medicine · 2023Article
- Plasma circN4BP2L2 is a promising novel diagnostic biomarker for epithelial ovarian cancer.BMC cancer · 2022Article
- Treatment of endometriosis with dienogest in combination with traditional Chinese medicine: A systematic review and meta-analysis.Frontiers in surgery · 2022Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundWe aimed to analyze the differences in the peripheral blood cells and tumor biomarkers between the patients with endometriosis and healthy people, and establish a more efficient combined diagnostic model.
methodsWe retrospectively analyzed the differences in the peripheral blood cells and tumor biomarkers between the patients with endometriosis and healthy people. Binary logistic regression analysis was used to establish a combined diagnostic model. We plotted the receiver operator characteristic (ROC) curve to analyze the diagnostic efficiency of different diagnostic indexes.
resultsCompared with patients in the control group, patients in the endometriosis group had significantly lower eosinophil% (p = 0.045), neutrophil (p = 0.001), lymphocyte (p < 0.001), red blood cells (RBCs) (p < 0.001), and hemoglobin (HGB) (p < 0.001), and had significantly higher monocyte% (p = 0.008), monocyte-to-lymphocyte ratio (MLR) (p = 0.001), platelet-to-lymphocyte ratio (PLR) (p < 0.001), carbohydrate antigen (CA)-199 (p < 0.001), CA125 (p < 0.001), human epididymis protein (HE)-4 (p < 0.001), and the risk of ovarian malignancy algorithm (ROMA) (p < 0.001). The combined diagnostic model of HGB, CA199, CA125, and HE4 was established by binary logistic regression analysis. The ROC curve showed that the combined diagnostic model reached a sensitivity of 85.4%, a specificity of 78.83%, and an area under the curve of 0.900, which was significantly higher than that of the individual index in endometriosis diagnosis.
conclusionThe combined diagnostic model of HGB, CA199, CA125, and HE4 may provide a new approach for the early non-invasive diagnosis of endometriosis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.