Evidence map›Paper›PMID 25278684›Full record

ReviewWorld journal of gastroenterology2014

Potential role of metabolomics in diagnosis and surveillance of gastric cancer.

Angela W Chan, Richdeep S Gill, Daniel Schiller, Michael B Sawyer

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Angela W ChanAngela W Chan, Richdeep S Gill, Daniel Schiller, Division of General Surgery, University of Alberta, Edmonton, Alberta T6G 2B7, Canada.
Richdeep S GillAngela W Chan, Richdeep S Gill, Daniel Schiller, Division of General Surgery, University of Alberta, Edmonton, Alberta T6G 2B7, Canada.
Daniel SchillerAngela W Chan, Richdeep S Gill, Daniel Schiller, Division of General Surgery, University of Alberta, Edmonton, Alberta T6G 2B7, Canada.
Michael B SawyerAngela W Chan, Richdeep S Gill, Daniel Schiller, Division of General Surgery, University of Alberta, Edmonton, Alberta T6G 2B7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is one of the deadliest cancers worldwide, and is especially prevalent in Asian countries. With such high morbidity and mortality, early diagnosis is essential to achieving curative intent treatment and long term survival. Metabolomics is a new field of study that analyzes metabolites from biofluids and tissue samples. While metabolomics is still in its infancy, there are numerous potential applications in oncology, specifically early diagnosis. Only a few studies in the literature have examined metabolomics' role in gastric cancer. Various fatty acid, carbohydrate, nucleic acid, and amino acid metabolites have been identified that distinguish gastric cancer from normal tissue and benign gastric disease. However, findings from these few studies are at times conflicting. Most studies demonstrate some relationship of cancer cells to the Warburg Effect, in that glycolysis predominates with conversion of pyruvate to lactate. This is one of the most consistent findings across the literature. There is less consistency in metabolomic signature with respect to nucleic acids, lipids and amino acids. In spite of this, metabolomics holds some promise for cancer surveillance but further studies are necessary to achieve consistency and validation before it can be widely employed as a clinical tool.

Indexed as

Energy MetabolismMetabolomicsAmino AcidsAnimalsBiomarkers, TumorCarbohydrate MetabolismFatty AcidsHumansNeoplasm StagingNucleic AcidsPredictive Value of TestsStomach NeoplasmsAmino AcidsBiomarkers, TumorFatty AcidsNucleic AcidsBiomarkersGastric cancerMetabolomicsScreeningSurveillance

Identifiers

PMID25278684
PMCPMC4177469

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.