Evidence map›Paper›PMID 38397136›Full record

ArticleGenes2024

Dysregulation of the Skin-Liver Axis in Prurigo Nodularis: An Integrated Genomic, Transcriptomic, and Population-Based Analysis.

Melika Marani, Vrinda Madan, Thomas K Le, Junwen Deng, Kevin K Lee, Emily Z Ma, Shawn G Kwatra

Open access · goldAbstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 2 institutions in 1 country.

Melika MaraniDepartment of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Vrinda MadanDepartment of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Thomas K LeDepartment of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Junwen DengDepartment of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Kevin K LeeDepartment of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Emily Z MaDepartment of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Shawn G KwatraDepartment of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Racial Differences in Biomarkers and Therapeutic Targets for Chronic ItchK23AR077073 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI KWATRA, SHAWN GAURAV · 2021 to 2025
$873k
NIAMS NIH HHS K23 AR077073NIH HHS K23AR077073
6 · The paper itself

Abstract

Pruritus has long been linked to hepatic dysfunction; however, there are limited data characterizing the association between liver disease and prurigo nodularis (PN), a chronic inflammatory skin disease featuring severe pruritis. We thus conducted a cross-sectional analysis of hepatic comorbidities in PN patients using TriNetX, a large global health research network. This analysis revealed that PN patients had a higher risk (

Indexed as

Carcinoma, HepatocellularLiver FailureLiver NeoplasmsPrurigoCalcium-Binding ProteinsCell Adhesion MoleculesCross-Sectional StudiesGene Expression ProfilingGenome-Wide Association StudyGenomicsHumansPruritusCalcium-Binding ProteinsCell Adhesion MoleculesEDIL3 protein, humancomorbidityepidemiologygenomichepaticitchliverprurigo nodularispruritustranscriptomic

Identifiers

PMID38397136
PMCPMC10887737
OpenAlexW4391137374

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.