Evidence map›Paper›PMID 36359464›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Diagnostics of Ovarian Tumors in Postmenopausal Patients.

Chingis Mustafin, Sergey Vesnin, Arran Turnbull, Michael Dixon, Alexey Goltsov, Igor Goryanin

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. 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
1.5field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Hereditary ovarian cancer.Discover oncology · 2026
    Review
  3. Review
  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 at 3 institutions in 3 countries.

Chingis MustafinMedical Microwave Radiometry (MMWR) Ltd., Edinburgh EH10 5LZ, UK.
Sergey VesninMedical Microwave Radiometry (MMWR) Ltd., Edinburgh EH10 5LZ, UK.ORCID 0000-0003-4353-8962
Arran TurnbullEdinburgh Breast Unit, University of Edinburgh, Edinburgh EH8 9YL, UK.ORCID 0000-0002-2287-0889
Michael DixonEdinburgh Breast Unit, University of Edinburgh, Edinburgh EH8 9YL, UK.
Alexey GoltsovInstitute for Artificial Intelligence, Russian Technological University (MIREA), 119454 Moscow, Russia.
Igor GoryaninSchool of Informatics, University of Edinburgh, Edinburgh EH8 9YL, UK.
University of Edinburgh · GBMIREA - Russian Technological University · RUOkinawa Institute of Science and Technology Graduate University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis of ovarian cancer remains an urgent issue owing to the continuing trend towards increasing incidence along with only marginal improvements in mortality and 5-year survival rates. Furthermore, there is a lack of a clear formulation of the concept of pathogenesis. The diagnostic values of tumor markers, their potential advantages and disadvantages, and their combination with radiation imaging methods and transvaginal sonography are discussed. More advanced imaging techniques, such as computed tomography and magnetic resonance imaging have proven too expensive for widespread use. According to the World Health Organization, more than half of the world's population does not have access to diagnostic imaging. Consequently, there is high demand for a low-cost, reliable, and safe imaging system for detecting and monitoring cancer. Currently, there is no clear algorithm available for examining and accurately diagnosing patients with postmenopausal ovarian tumors; moreover, reliable criteria allowing dynamic observation and for determining surgical access and optimal surgical intervention measures in postmenopausal patients are lacking. Medical microwave radiometry shows promising results yielding an accuracy of 90%.

Indexed as

medical microwave radiometryovarian lesionsovarian tumorspost-menopausetumor marker

Identifiers

PMID36359464
PMCPMC9689025
OpenAlexW4307947575

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.