Evidence map›Paper›PMID 31110965›Full record

ArticleFrontiers in oncology2019

Sialic Acid Linkage Analysis Refines the Diagnosis of Ovarian Cancer.

Tereza Dědová, Elena Iona Braicu, Jalid Sehouli, Véronique Blanchard

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 56 citations in OpenAlex.

  1. High-MannoseJournal of proteome research · 2026
    Article
  2. Review
  3. Glycosylation in Cancer.Handbook of experimental pharmacology · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Toward Automatic Inference of Glycan Linkages Using MSJournal of the American Society for Mass Spectrometry · 2023
    Article
  12. Article
  13. Article
  14. In SituCancers · 2022
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Isomer-Specific Monitoring of SialylatedFrontiers in molecular biosciences · 2021
    Article
  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

4 authors at 2 institutions in 1 country.

Tereza DědováInstitute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Elena Iona BraicuDepartment of Gynecology, European Competence Center for Ovarian Cancer, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Jalid SehouliDepartment of Gynecology, European Competence Center for Ovarian Cancer, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Véronique BlanchardInstitute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEFreie Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) is a rather rare but lethal disease that is usually diagnosed at an advanced stage; this is due to a lack of early diagnostic markers. At the time being, less than a quarter of patients are diagnosed when the tumor has not metastasized yet. In previous work, we demonstrated that antennarity, fucosylation, and sialylation increased in EOC patients and built a glycan-based score that was able to diagnose EOC better than CA125, the routine diagnostic marker, does. To date, little attention had been paid to the sialic acid linkages of

Indexed as

2–3 sialic acidsbiomarkerMALDI-TOFN-glycansovarian cancersialic acid linkagesialic acids

Identifiers

PMID31110965
PMCPMC6499200
OpenAlexW2935888255

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.