Evidence map›Paper›PMID 24714261›Full record

ReviewAnnals of gastroenterology2012

Update on current applications of proteomic in the study of inflammatory bowel disease.

Giulia Roda, Alessandra Caponi, Alessandro Sartini, Monica Cevenini, Carolina Colliva, Aldo Roda

Open access · greenAbstract readReview
In one paragraph

Review in Annals of gastroenterology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Giulia RodaGastroenterology Unit, S. Orsola-Malpighi Hospital (Giulia Roda, Alessandra Caponi, Alessandro Sartini).
Alessandra CaponiGastroenterology Unit, S. Orsola-Malpighi Hospital (Giulia Roda, Alessandra Caponi, Alessandro Sartini).
Alessandro SartiniGastroenterology Unit, S. Orsola-Malpighi Hospital (Giulia Roda, Alessandra Caponi, Alessandro Sartini).
Monica CeveniniDepartment of Clinical Medicine, University of Bologna, S. Orsola Hospital (Monica Cevenini).
Carolina CollivaDepartment of Pharmaceutical Sciences, University of Bologna (Carolina Collina, Aldo Roda), Bologna, Italy.
Aldo RodaDepartment of Pharmaceutical Sciences, University of Bologna (Carolina Collina, Aldo Roda), Bologna, Italy.
Azienda Sanitaria Locale Alessandria · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ulcerative colitis and Crohn's disease are relapsing and remitting chronic disorders. So far, endoscopy is the gold standard for their diagnosis, but less invasive diagnostic biomarkers are needed. Many authors have developed techniques to individuate biomarkers such as genetic testing factor or proteins in biological samples such as serum, plasma, and cellular subpopulations. A protein fingerprint pattern, patient-unique, specific for the diagnosis of inflammatory bowel disease (IBD) and potentially able to predict the future patterns of disease and to help in diagnosis, treatment, and prognosis is of increasing interest among researchers. Nowadays, a proteomic approach may be used in the identification of major alterations of proteins in IBD, but there is still a lack in the identification of a panel of biomarkers among a significant number of patients in large clinical trials. In this review, we analyze and report the current knowledge in proteomic application and strategies in the study of IBD.

Indexed as

biomarkersCrohn’s diseasemetabolomicnutrigenomicproteomiculcerative colitis

Identifiers

PMID24714261
PMCPMC3959427
OpenAlexW2105140153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.