Evidence map›Paper›PMID 30237250›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2018

Chronic Medical Conditions and CA125 Levels among Women without Ovarian Cancer.

Babatunde O Akinwunmi, Ana Babic, Allison F Vitonis, Daniel W Cramer, Linda Titus, Shelley S Tworoger, Kathryn L Terry

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

37 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. Article
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  5. Review
  6. Article
  7. Article
  8. Effects of Clinical Covariates on Serum miRNA Expression among Women without Ovarian Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024
    Review
  16. Review
  17. Article
  18. Article
  19. Diagnostic biomarkers in ovarian cancer: advances beyond CA125 and HE4.Therapeutic advances in medical oncology · 2024
    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 4 institutions in 1 country.

Babatunde O AkinwunmiObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, Massachusetts. bakinwunmi@bwh.harvard.edu.
Ana BabicDana Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Allison F VitonisObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, Massachusetts.
Daniel W CramerObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, Massachusetts.
Linda TitusDepartments of Epidemiology and Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Shelley S TworogerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-6986-7046
Kathryn L TerryObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, Massachusetts.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USDartmouth College · USHarvard University · US

Funding

Mucins and immune cell interactions in ovarian cancer pathogenesis & progressionR35CA197605 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2016 to 2022
$6.9M
OVARIAN CANCER RISK AND HYPERGONADOTROPIC HYPOGONADISMR01CA054419 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 1992 to 2007
$5.9M
Redefining Normal: personalized CA125 cutpoints for ovarian cancer screeningR01CA193965 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TERRY, KATHRYN L. · 2016 to 2019
$1.6M
NCI NIH HHS R01 CA054419NCI NIH HHS R01 CA193965NCI NIH HHS R35 CA197605
6 · The paper itself

Abstract

backgroundRandomized trials using the biomarker cancer antigen (CA) 125, with or without pelvic ultrasound, have failed to show a clear benefit of general population screening for ovarian cancer. In part, this may be due to a lack of information about conditions, besides ovarian cancer, that can alter CA125 levels and affect specificity or sensitivity. We evaluated the association between common medical conditions and CA125 levels among women without ovarian cancer.

methodsWe used data and specimens from 2,004 women without ovarian cancer who participated in the New England Case Control study between 1992 and 2008. Participants completed in-person interviews and donated blood samples at enrollment. We measured CA125 using the CA125II assay and calculated the association between medical conditions and log-transformed CA125 using linear regression.

resultsThe median age of participants was 53 years and 1,119 (56%) were postmenopausal. The average CA125 level was 14.5 units/mL for premenopausal and 11.7 for postmenopausal women. Among premenopausal women, CA125 was significantly lower for women with colon polyps (

conclusionsSeveral chronic diseases are associated with CA125, which could influence the interpretation of CA125 in the context of ovarian cancer screening. IMPACT: Consideration of chronic medical conditions may be necessary to interpret CA125 values.

Indexed as

CA-125 AntigenChronic DiseaseFemaleHumansMiddle AgedCA-125 Antigen

Identifiers

PMID30237250
PMCPMC6279537
OpenAlexW2890012244

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.