Evidence map›Paper›PMID 25225597›Full record

ReviewWorld journal of biological chemistry2014

In 2014, can we do better than CA125 in the early detection of ovarian cancer?

Joshua G Cohen, Matthew White, Ana Cruz, Robin Farias-Eisner

Abstract readReview
In one paragraph

Review in World journal of biological chemistry, 2014. 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
–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

37 citing papers in PubMed.

  1. Article
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  9. Review
  10. Ovarian Cancer Biomarkers: Moving Forward in Early Detection.Advances in experimental medicine and biology · 2020
    Review
  11. Article
  12. Article
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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

4 authors.

Joshua G CohenJoshua G Cohen, Matthew White, Ana Cruz, Robin Farias-Eisner, Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of California, Los Angeles Medical Center, Los Angeles, CA 90095, United States.
Matthew WhiteJoshua G Cohen, Matthew White, Ana Cruz, Robin Farias-Eisner, Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of California, Los Angeles Medical Center, Los Angeles, CA 90095, United States.
Ana CruzJoshua G Cohen, Matthew White, Ana Cruz, Robin Farias-Eisner, Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of California, Los Angeles Medical Center, Los Angeles, CA 90095, United States.
Robin Farias-EisnerJoshua G Cohen, Matthew White, Ana Cruz, Robin Farias-Eisner, Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of California, Los Angeles Medical Center, Los Angeles, CA 90095, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is a lethal gynecologic malignancy with greater than 70% of women presenting with advanced stage disease. Despite new treatments, long term outcomes have not significantly changed in the past 30 years with the five-year overall survival remaining between 20% and 40% for stage III and IV disease. In contrast patients with stage I disease have a greater than 90% five-year overall survival. Detection of ovarian cancer at an early stage would likely have significant impact on mortality rate. Screening biomarkers discovered at the bench have not translated to success in clinical trials. Existing screening modalities have not demonstrated survival benefit in completed prospective trials. Advances in high throughput screening are making it possible to evaluate the development of ovarian cancer in ways never before imagined. Data in the form of human "-omes" including the proteome, genome, metabolome, and transcriptome are now available in various packaged forms. With the correct pooling of resources including prospective collection of patient specimens, integration of high throughput screening, and use of molecular heterogeneity in biomarker discovery, we are poised to make progress in ovarian cancer screening. This review will summarize current biomarkers, imaging, and multimodality screening strategies in the context of emerging technologies.

Indexed as

Adnexal massBiomarkerDetectionDiagnostic imagingOvarian cancerProteomicsScreening

Identifiers

PMID25225597
PMCPMC4160523

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.