Evidence map›Paper›PMID 39031958›Full record

SynthesisCancer medicine2024

Cervicovaginal specimen biomarkers for early detection of ovarian and endometrial cancer: A review.

Kevin J J Kwinten, Victor A Lemain, Joanne A de Hullu, William P J Leenders, Miranda P Steenbeek, Anne M van Altena, Johanna M A Pijnenborg

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kevin J J KwintenDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-2773-4173
Victor A LemainDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
Joanne A de HulluDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
William P J LeendersPredica Diagnostics, Nijmegen, The Netherlands.
Miranda P SteenbeekDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
Anne M van AltenaDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
Johanna M A PijnenborgDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the last decade, technical innovations have resulted in the development of several minimally invasive diagnostic cancer tools. Within women at high risk of developing ovarian or endometrial cancer (EC) due to hereditary cancer syndrome, there is an urgent need for minimally invasive and patient-friendly methods to detect ovarian cancer and EC at an early stage. MATERIALS AND

methodsWe performed a systematic search of studies using DNA methylation or mutation analysis, microbiome, or proteomics performed on cervicovaginal specimens (smear, swab, or tampon) intended to detect ovarian and EC published until January 2024.

resultsIncluded studies (n = 36) showed high heterogeneity in terms of biomarkers used and outcomes, and only a few studies reported on the detection of biomarkers in high-risk subgroups.

conclusionBased on the findings in this review, DNA methylation techniques seem to be the most promising for detecting ovarian and EC at early stages in the general population. Future validation of cervicovaginal DNA methylation techniques is needed to determine whether this technique might be beneficial in hereditary high-risk subgroups.

Indexed as

Biomarkers, TumorDNA MethylationEarly Detection of CancerEndometrial NeoplasmsOvarian NeoplasmsCervix UteriFemaleHumansProteomicsVaginaBiomarkers, Tumorbiomarkersearly detectionendometrial cancerovarian cancer

Identifiers

PMID39031958
PMCPMC11259558

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Registered trials

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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.