ArticleWorld journal of gastrointestinal oncology2020
Evaluation of the value of multiparameter combined analysis of serum markers in the early diagnosis of gastric cancer.
Article in World journal of gastrointestinal oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- [Combined Analysis of Dyslipidemia and Tumor Markers for the Diagnosis of Gastric Cancer].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026Article
- The DSG1-AS1/miR-125b-5p/HMGA2 axis is associated with the formation of neutrophil extracellular traps in atopic dermatitis.European journal of medical research · 2025Article
- Simultaneous Assay of CA 72-4, CA 19-9, CEA and CA 125 in Biological Samples Using Needle Three-Dimensional Stochastic Microsensors.Sensors (Basel, Switzerland) · 2023Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn early gastric cancer (GC), tumor markers are increased in the blood. The levels of these markers have been used as important indexes for GC screening, early diagnosis and prognostic evaluation. However, specific tumor markers have not yet been discovered. Diagnosis based on a single tumor marker has limited significance. The detection rate of GC is still very low.
aimTo improve the diagnostic value of blood markers for GC.
methodsWe used a multiparameter joint analysis of 77 indexes of malignant GC and gastric polyp (GP), 64 indexes of GC and healthy controls (Ctrls).
resultsBy analyzing the data, there are 27 indexes in the final Ctrls
conclusionThe diagnostic effect of multi-parameter joint artificial neural networks analysis is significantly better than the single-index test diagnosis, and it may provide an assistant method for the detection of GC.
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