Evidence map›Paper›PMID 41141357›Full record

ArticleFrontiers in endocrinology2025

Associations of

Balys Remigijus Zaliunas, Enrika Pileckaite, Monika Duseikaite, Jurgita Makstiene, Lina Poskiene, Vita Rovite, Sheng-Nan Wu, Arimantas Tamasauskas, Rasa Liutkeviciene

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Balys Remigijus ZaliunasMedical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Enrika PileckaiteLaboratory of Ophthalmology, Institute of Neuroscience, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Monika DuseikaiteLaboratory of Ophthalmology, Institute of Neuroscience, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Jurgita MakstieneDepartment of Pathology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Lina PoskieneDepartment of Pathology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Vita RoviteLatvian Biomedical Research and Study Centre, Riga, Latvia.
Sheng-Nan WuDepartment of Neurology, National Cheng Kung University Hospital, Tainan, Taiwan.
Arimantas TamasauskasDepartment of Neurosurgery, Hospital of Lithuanian University of Health Sciences, Kaunas Clinics, Kaunas, Lithuania.
Rasa LiutkevicieneLaboratory of Ophthalmology, Institute of Neuroscience, Lithuanian University of Health Sciences, Kaunas, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aimed to determine the associations of Methods: This case-control study included 340 individuals who were divided into two groups: a control group ( Results: Genotype and allele frequencies of Conclusions: This study found that a higher p53 H-score was significantly associated with larger PitNET size and invasiveness. Negative CK18 staining was associated with non-functioning and invasive PitNETs. P53 expression and CK18 status may serve as useful prognostic markers in PitNETs.

Indexed as

Biomarkers, TumorKi-67 AntigenNeuroendocrine TumorsPituitary NeoplasmsPolymorphism, Single NucleotideRNA, Long NoncodingTumor Suppressor Protein p53AdultAgedCase-Control StudiesFemaleGenotypeHumansImmunohistochemistryMaleMiddle AgedBiomarkers, TumorKi-67 AntigenMEG3 non-coding RNA, humanRNA, Long NoncodingTP53 protein, humanTumor Suppressor Protein p53biomarkersCK18immunohistochemistryKi-67MEG3p53PitNETpituitary adenoma

Identifiers

PMID41141357
PMCPMC12545000

What Socratic 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 Socratic graph.