Evidence map›Paper›PMID 20087638›Full record

ArticleInflammation2010

Gender-related distribution of the interleukin-1 beta and interleukin-1 receptor antagonist gene polymorphisms in patients with end-stage liver disease.

Elisabetta Fontanini, Annarosa Cussigh, Carlo Fabris, Edmondo Falleti, Pierluigi Toniutto, Davide Bitetto, Sara Cmet, Elisa Fumolo, Ezio Fornasiere, Sara Bignulin and 3 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Inflammation, 2010. 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, top 87% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  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

13 authors at 3 institutions in 1 country.

Elisabetta FontaniniLaboratory Medicine, University of Udine, Piazzale S. M. della Misericordia 1, 33100, Udine, Italy.
Annarosa Cussigh
Carlo Fabris
Edmondo Falleti
Pierluigi Toniutto
Davide Bitetto
Sara Cmet
Elisa Fumolo
Ezio Fornasiere
Sara Bignulin
David J Pinato
Rosalba Minisini
Mario Pirisi
University of Udine · ITOspedale Santa Maria della Misericordia di Udine · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin-1 beta (IL-1 beta) genetic polymorphisms and IL-1 receptor antagonist (IL1RN) variable number tandem repeat (VNTR) seem to be related with the occurrence of chronic diseases. This study aimed to verify whether IL-1 beta -511>C/T, -31>T/C, +3953>C/T and IL1RN VNTR were associated to the development of liver cirrhosis. Two hundred forty cirrhotic patients were involved in the study. A significant trend was detected, for increasing cirrhosis frequencies, grouping the patients as follows: females and males carrying neither the IL-1 beta (-511 -31) T-C/T-C or T-C/(T-T or C-C) diplotypes nor any IL1RN A2 allele (138/292), males carrying either the IL-1 beta T-C/T-C or T-C/(T-T or C-C) diplotypes or at least one IL1RN A2 allele (74/147) and males carrying either the IL-1 beta T-C/T-C or T-C/(T-T or C-C) diplotypes and at least one IL1RN A2 allele (28/37) (p < 0.01). IL-1 beta polymorphisms are associated with the occurrence of end stage liver disease. IL-1 beta inflammatory activity appears more pronounced in males.

Indexed as

Minisatellite RepeatsPolymorphism, Single NucleotideAdultAgedAllelesFemaleGene FrequencyGenetic Predisposition to DiseaseHaplotypesHepatitis B, ChronicHepatitis C, ChronicHomozygoteHumansInterleukin-1betaInterleukin 1 Receptor Antagonist ProteinItalyIL1RN protein, humanInterleukin-1betaInterleukin 1 Receptor Antagonist Protein

Identifiers

PMID20087638
OpenAlexW2057953089

What OpenQuestion holds

Textmetadata
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.