Evidence map›Paper›PMID 30009497›Full record

ArticleJournal of clinical laboratory analysis2019

Diagnostic performance of CA 125, HE4, and risk of Ovarian Malignancy Algorithm for ovarian cancer.

Boyeon Kim, Yongjung Park, Banseok Kim, Hyo Jun Ahn, Kyung-A Lee, Jae Eun Chung, Sang Won Han

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% of its field
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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Predicting epithelial ovarian cancer prognosis: correlation of posttreatmentQuantitative imaging in medicine and surgery · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Ovarian Cancer Biomarkers in the COVID-19 Era.International journal of environmental research and public health · 2023
    Article
  18. Review
  19. Review
  20. 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

7 authors at 3 institutions in 1 country.

Boyeon KimDepartment of Laboratory Medicine, National Health Insurance Service Ilsan Hospital, Goyang-si, Korea.
Yongjung ParkDepartment of Laboratory Medicine, National Health Insurance Service Ilsan Hospital, Goyang-si, Korea.ORCID http://orcid.org/0000-0001-5668-4120
Banseok KimDepartment of Laboratory Medicine, National Health Insurance Service Ilsan Hospital, Goyang-si, Korea.
Hyo Jun AhnDepartment of Laboratory Medicine, National Health Insurance Service Ilsan Hospital, Goyang-si, Korea.
Kyung-A LeeDepartment of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Jae Eun ChungDepartment of Obstetrics and Gynecology, National Health Insurance Service Ilsan Hospital, Goyang-si, Korea.
Sang Won HanDepartment of Obstetrics and Gynecology, National Health Insurance Service Ilsan Hospital, Goyang-si, Korea.
National Health Insurance Service Ilsan Hospital · KRYonsei University · KRSeverance Hospital · KR

Funding

National Health Insurance Service Ilsan Hospital 2017-01-038
6 · The paper itself

Abstract

objectiveWe evaluated the diagnostic performance of CA 125, HE4, and ROMA for ovarian cancer in Koreans and set optimal cutoffs.

methodSerum levels of HE4 and CA 125 and the ROMA score were determined in 762 patients with benign gynecological disease and 70 with ovarian cancer. Receiver operating characteristic curves were constructed to calculate the areas under the curve (AUC). CA 125, HE4, and ROMA exhibiting maximum Youden index were determined, respectively, as the optimal cutoffs, and sensitivity and specificity were evaluated by applying those cutoffs.

resultsIn benign diseases, CA 125 significantly increased in patients with uterine myoma, adenomyosis, endometrial pathology, or endometriosis, but HE4 only increased in patients with adenomyosis. For the diagnosis of ovarian cancer, the combination of CA 125, HE4, and age showed the highest AUC value of 0.892 in the premenopausal group, and ROMA demonstrated the best diagnostic performance, with an AUC of 0.935 in postmenopausal patients. When the optimal cutoff values for CA 125 and HE4 were applied, the sensitivities of CA 125, HE4, and ROMA in premenopausal women were all the same at 0.714, while the specificities were 0.841, 0.974, and 0.972, respectively. In the postmenopausal group, the sensitivities of these markers were 0.857, 0.804, and 0.929, and the specificities were 0.836, 0.887, and 0.800, respectively.

conclusionAlthough all markers demonstrated good diagnostic performance, they varied depending on the pathologic types of benign diseases and ovarian cancer. For accurate diagnosis of ovarian cancer, CA 125, HE4, and ROMA should be used complementarily.

Indexed as

AdultAgedAlgorithmsBiomarkers, TumorCA-125 AntigenFemaleHumansMenopauseMiddle AgedOvarian NeoplasmsProteinsRiskSensitivity and SpecificityWAP Four-Disulfide Core Domain Protein 2Biomarkers, TumorCA-125 AntigenProteinsWAP Four-Disulfide Core Domain Protein 2WFDC2 protein, humanCA 125HE4ovarian cancerROMAtumor marker

Identifiers

PMID30009497
PMCPMC6430343
OpenAlexW2883721154

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.