Evidence map›Paper›PMID 33922707›Full record

ArticleJournal of clinical medicine2021

Ieva Golubickaite, Rasa Ugenskiene, Egle Ziliene, Jurgita Beniusyte, Arturas Inciura, Lina Poskiene, Elona Juozaityte

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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
0.3field-weighted citation impact, top 42% 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, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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

7 authors at 1 institution in 1 country.

Ieva GolubickaiteDepartment of Genetics and Molecular Medicine, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.ORCID 0000-0003-2739-8576
Rasa UgenskieneDepartment of Genetics and Molecular Medicine, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Egle ZilieneInstitute of Oncology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Jurgita BeniusyteInstitute of Oncology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Arturas InciuraInstitute of Oncology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Lina PoskieneDepartment of Pathological Anatomy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Elona JuozaityteInstitute of Oncology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Lithuanian University of Health Sciences · LT

Funding

Lietuvos Sveikatos Mokslų Universitetas N/A
6 · The paper itself

Abstract

Cervical cancer is one of the most common cancers in women worldwide. Human papillomaviruses are known to be the main, but not the only risk factor, of this cancer type. Despite all the knowledge on this cancer type, it is still a challenge to predict the course of the disease, and therefore, minimally invasive biomarkers are needed. This study aimed to analyze single-nucleotide variants in the

Indexed as

cervical canceroutcomePOLGSNVtumor phenotype

Identifiers

PMID33922707
PMCPMC8123044
OpenAlexW3159047732

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.