Regular arrangement of collecting venules under endoscopy for predicting a Helicobacter pylori-negative stomach: A systematic review and meta-analysis
| Autor: | Lunan Li, Chenjing Zhang, Jiyong Jing, Huiqin Gao, Wensheng Pan, Haifang Lou |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Gastroenterology Likelihood ratios in diagnostic testing 03 medical and health sciences 0302 clinical medicine Venules Predictive Value of Tests Internal medicine Gastroscopy Gastric mucosa Humans Medicine Helicobacter Helicobacter pylori Hepatology biology medicine.diagnostic_test business.industry Stomach biology.organism_classification Endoscopy medicine.anatomical_structure 030220 oncology & carcinogenesis Meta-analysis Diagnostic odds ratio 030211 gastroenterology & hepatology business |
| Zdroj: | Gastroenterología y Hepatología. 44:286-292 |
| ISSN: | 0210-5705 |
| DOI: | 10.1016/j.gastrohep.2020.08.003 |
| Popis: | Background and aims The regular arrangement of collecting venules (RAC) refers to the appearance of multiple regular tiny veins in the body of the stomach and is considered to be very effective for identifying gastric mucosa with non-Helicobacter pylori infection. This meta-analysis was conducted to systematically evaluate the value of the sign in predicting a Helicobacter pylori-negative stomach and the relevant factors that may affect the performance of this prediction. Methods Two biomedical databases (PubMed and EMBASE) were systematically searched through April 20, 2020. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and area under the SROC curve (AUC) were calculated. Results Fourteen articles with 4070 patients were included. The pooled sensitivity, specificity, PLR, NLR, DOR and AUC for the RAC in predicting non-Hp infection were 0.80 (0.67–0.89), 0.97 (0.93–0.98), 24.8 (12.2–50.8), 0.21 (0.12–0.36), 120 (47–301) and 0.97 (0.19–1.00), respectively. Conclusions The RAC is a valuable endoscopic feature for the prediction of patients without Hp infection. |
| Databáze: | OpenAIRE |
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