Evidence map›Paper›PMID 30774813›Full record

ArticleGastroenterology and hepatology from bed to bench2018

Metabolic analysis of acute appendicitis by using system biology approach.

Homayoun Zojaji, Majid Rezaei Tavirani, Vahid Mansouri, Ali Seyed Salehi, Reza Mahmoud Robati, Elena Lak

Open access · greenAbstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Homayoun ZojajiGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Majid Rezaei TaviraniDepartment of Surgery, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Vahid MansouriProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali Seyed SalehiFoodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza Mahmoud RobatiSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Elena LakImam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRImam Hossein Hospital · IRIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimIntroducing possible suitable compound as diagnostic agent in appendicitis is aim of this investigation.

backgroundAppendicitis diagnosis is a difficult step in treatment of disease due to complex abdominal pain signal which may be refer to the non-appendicitis pain.

methodsGene expression profiles of children with non-preforated appendicitis in comparison with the samples with non- appendicitis abdominal pain are analysis via protein - protein interaction (PPI) and the critical compounds are introduced by STITCH.

resultsTen compounds including including MgATP, glycerol, MgADP, calcium ions, chloride, magnesium, phosphate, sulphate, acetate, and sodium are introduced as possible biomarker panel to differentiate appendicitis from the other abdominal pains.

conclusionA laboratory method such as flame photometry based on metal detection for diagnosis of appendicitis is possible, however more investigations are required.

Indexed as

AppendicitisBiomarkerGene

Identifiers

PMID30774813
PMCPMC6347980
OpenAlexW2911132510

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.