Evidence map›Paper›PMID 37601809›Full record

ArticleInternational journal of general medicine2023

Klara Cervena, Anna Siskova, Jiri Jungwirth, Marin Volarić, Jan Kral, Pavel Kohout, Miroslav Levy, Veronika Vymetalkova

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 3 countries.

Klara CervenaInstitute of Experimental Medicine, Czech Academy of Sciences, Prague, 142 00, Czech Republic.ORCID 0000-0002-0948-0130
Anna SiskovaInstitute of Experimental Medicine, Czech Academy of Sciences, Prague, 142 00, Czech Republic.
Jiri JungwirthInstitute of Physiology, 1st Faculty of Medicine Charles University, Prague, 121 08, Czech Republic.
Marin VolarićLaboratory for Non-Coding DNA, Ruđer Bošković Institute, Zagreb, 10000, Croatia.
Jan KralDepartment of Hepatogastroenterology, Institute for Clinical and Experimental Medicine, Prague, 140 21, Czech Republic.
Pavel KohoutDepartment of Internal Medicine, 3rd Faculty of Medicine Charles University and Faculty Thomayer Hospital Prague, Prague, 140 00, Czech Republic.
Miroslav LevyDepartment of Surgery, First Faculty of Medicine, Charles University and Thomayer Hospital Prague, Prague, 140 59, Czech Republic.ORCID 0000-0003-3321-6644
Veronika VymetalkovaInstitute of Experimental Medicine, Czech Academy of Sciences, Prague, 142 00, Czech Republic.
Charles University · CZInstitute of Clinical and Experimental Medicine · CZRuđer Bošković Institute · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The development of colorectal cancer (CRC) is a multistep process accompanied by the accumulation of mutations that start from specific precancerous lesion - colorectal adenomas (CA). CRC incidence and mortality can be reduced by the early identification of these neoplasm. Colonoscopy is the most widely used screening method for CRC identification. Nowadays, clinical research interest is shifting to the use of liquid biopsy that may help with the early diagnosis of CA and CRC. In our previous study, we identified long non-coding RNA Methods: This study aimed to describe the potential of Results: There was no difference in the Conclusion:

Indexed as

colorectal adenomascolorectal cancerliquid biopsyMALAT1plasma

Identifiers

PMID37601809
PMCPMC10439781
OpenAlexW4385840981

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.