Evidence map›Paper›PMID 40385783›Full record

ReviewCureus2025

Comparative Meta-Analysis of Carbohydrate Antigen 125 (CA125), Human Epididymis Protein 4 (HE4), and Diagnostic Indices (Risk of Malignancy Index (RMI) and Risk of Ovarian Malignancy Algorithm (ROMA)) for Pre-operative Detection of Ovarian Carcinoma.

Adarsh Kumar Singh, Pooja Yadav, Manu Shukla, Shivani Samaiya, Sonali Singh, Shreya Sorout

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Adarsh Kumar SinghDepartment of Neurological Surgery, Centre of BioMedical Research (CBMR), Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, IND.
Pooja YadavDepartment of Obstetrics and Gynaecology, Maharani Laxmi Bai (MLB) Medical College, Jhansi, IND.
Manu ShuklaDepartment of Obstetrics and Gynaecology, Maharani Laxmi Bai (MLB) Medical College, Jhansi, IND.
Shivani SamaiyaDepartment of Obstetrics and Gynaecology, Maharani Laxmi Bai (MLB) Medical College, Jhansi, IND.
Sonali SinghDepartment of Obstetrics and Gynaecology, Maharani Laxmi Bai (MLB) Medical College, Jhansi, IND.
Shreya SoroutDepartment of Obstetrics and Gynaecology, Maharani Laxmi Bai (MLB) Medical College, Jhansi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer remains a leading cause of gynecological cancer-related mortality, primarily due to late-stage diagnosis. Effective pre-operative differentiation between benign and malignant ovarian masses is crucial for improving patient outcomes. This meta-analysis evaluates the diagnostic performance of carbohydrate antigen 125 (CA125), human epididymis protein 4 (HE4), the Risk of Malignancy Index (RMI), and the Risk of Ovarian Malignancy Algorithm (ROMA) by assessing their sensitivity, specificity, and overall accuracy. A systematic review of studies published between 2000 and 2024 identified 12 eligible studies with sample sizes ranging from 84 to 456 participants. Statistical analyses, including bivariate modeling and summary receiver operating characteristic curves, were performed. CA125 demonstrated the highest sensitivity (0.82) but had a high false-positive rate (0.357), limiting its specificity. HE4 exhibited higher specificity (0.171) and an improved diagnostic odds ratio (DOR = 17.00) compared to CA125. The ROMA and RMI showed comparable performance, with the ROMA achieving the highest area under the curve (AUC = 0.8619), followed by HE4 (AUC = 0.8586) and RMI (AUC = 0.8508), while CA125 had the lowest AUC (0.8128), indicating lower standalone diagnostic reliability. The findings suggest that HE4, ROMA, and RMI outperform CA125 in terms of specificity and overall diagnostic accuracy, with HE4 and ROMA particularly demonstrating superior specificity. These results support a multimodal diagnostic approach that integrates multiple biomarkers and risk indices to enhance pre-operative ovarian cancer detection and optimize patient management.

Indexed as

ca-125he 4ovarian carcinomarisk of malignancy index (rmi)risk of ovarian malignancy algorithm (roma)

Identifiers

PMID40385783
PMCPMC12084852

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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.