Limited Incremental Value of Six Haemogram-Derived Inflammatory Indices for Detecting Endometrial Carcinoma and Intraepithelial Neoplasia in Abnormal Uterine Bleeding: A Case–Control Study

Background/Objectives: Haemogram-derived inflammatory indices are proposed as inexpensive markers of endometrial neoplasia, but almost all supporting evidence is prognostic, from women already known to have carcinoma. We compared six indices head-to-head and asked whether any improved discrimination beyond a clinical model of age, menopausal status, endometrial thickness and metabolic comorbidity. Methods: In this single-centre retrospective case–control study, all women with endometrial intraepithelial neoplasia (EIN) or uterine malignancy on curettage for abnormal uterine bleeding (January 2021–June 2026) were identified (136 cases); 272 benign controls were drawn at a fixed 1:2 ratio. Indices were recalculated de novo from raw differential counts. Each log-transformed index was added singly to the fixed model; the likelihood-ratio test was the primary test and the change in C-statistic (ΔC) the effect measure, with ΔC ≥ 0.02 taken as clinically relevant, and performance was internally validated by bootstrapping and cross-validation. Results: Cases were 93 carcinomas and 43 EINs. Age (AUC 0.792, 95% CI 0.744–0.841) and endometrial thickness (0.749, 0.697–0.800) discriminated better than any index; SIRI was best (0.621, 0.564–0.678) and PLR did not discriminate (0.510). The clinical model reached a C-statistic of 0.882 (0.844–0.919), inflated by design; optimism-corrected calibration slope 0.963. No index remained significant after adjustment (smallest p = 0.141); the largest ΔC was +0.0042 (−0.0027 to +0.0111). The six log-indices are algebraically dependent, so the joint model used an identifiable four-index basis; it added +0.0064 (χ24 = 4.48, p = 0.345), an increment that vanished on validation (optimism-corrected −0.0001; cross-validated +0.0010, −0.0076 to +0.0097). Accuracy at the Youden cut-off was 83.5% (clinical) and 81.7–84.2% (index models). Twelve sensitivity analyses agreed. Conclusions: None of the six indices provided detectable incremental discrimination once age, menopausal status and endometrial thickness were accounted for; their univariable associations reflect the clinical profile of affected women rather than an independent biological signal.

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Journal
Diagnostics
Published
2026-10-05
DOI
https://doi.org/10.3390/diagnostics16193219
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article

Limited Incremental Value of Six Haemogram-Derived Inflammatory Indices for Detecting Endometrial Carcinoma and Intraepithelial Neoplasia in Abnormal Uterine Bleeding: A Case–Control Study

Busra Seker Atas, Senem Karacabey, Ezgi Gungor, Kubra Sevim Pehlivan
Diagnostics
Inflammatory Biomarkers in Disease Prognosis
article

Limited Incremental Value of Six Haemogram-Derived Inflammatory Indices for Detecting Endometrial Carcinoma and Intraepithelial Neoplasia in Abnormal Uterine Bleeding: A Case–Control Study

Busra Seker Atas, Senem Karacabey, Ezgi Gungor, Kubra Sevim Pehlivan
article en

Abstract

Background/Objectives: Haemogram-derived inflammatory indices are proposed as inexpensive markers of endometrial neoplasia, but almost all supporting evidence is prognostic, from women already known to have carcinoma. We compared six indices head-to-head and asked whether any improved discrimination beyond a clinical model of age, menopausal status, endometrial thickness and metabolic comorbidity. Methods: In this single-centre retrospective case–control study, all women with endometrial intraepithelial neoplasia (EIN) or uterine malignancy on curettage for abnormal uterine bleeding (January 2021–June 2026) were identified (136 cases); 272 benign controls were drawn at a fixed 1:2 ratio. Indices were recalculated de novo from raw differential counts. Each log-transformed index was added singly to the fixed model; the likelihood-ratio test was the primary test and the change in C-statistic (ΔC) the effect measure, with ΔC ≥ 0.02 taken as clinically relevant, and performance was internally validated by bootstrapping and cross-validation. Results: Cases were 93 carcinomas and 43 EINs. Age (AUC 0.792, 95% CI 0.744–0.841) and endometrial thickness (0.749, 0.697–0.800) discriminated better than any index; SIRI was best (0.621, 0.564–0.678) and PLR did not discriminate (0.510). The clinical model reached a C-statistic of 0.882 (0.844–0.919), inflated by design; optimism-corrected calibration slope 0.963. No index remained significant after adjustment (smallest p = 0.141); the largest ΔC was +0.0042 (−0.0027 to +0.0111). The six log-indices are algebraically dependent, so the joint model used an identifiable four-index basis; it added +0.0064 (χ24 = 4.48, p = 0.345), an increment that vanished on validation (optimism-corrected −0.0001; cross-validated +0.0010, −0.0076 to +0.0097). Accuracy at the Youden cut-off was 83.5% (clinical) and 81.7–84.2% (index models). Twelve sensitivity analyses agreed. Conclusions: None of the six indices provided detectable incremental discrimination once age, menopausal status and endometrial thickness were accounted for; their univariable associations reflect the clinical profile of affected women rather than an independent biological signal.

DiagnosticsVol. 16(19)
Osmaniye Korkut Ata University (TR), University of Health Science (KH), Haseki Eğitim ve Araştırma Hastanesi (TR), Sağlık Bilimleri Üniversitesi (TR), Denizli Devlet Hastanesi (TR), University of Health Sciences Antigua (AG)
Openalex Percentile: Top 16%
Inflammatory Biomarkers in Disease Prognosis
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