FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285391903> ?p ?o ?g. }

• W4285391903 endingPage "791" @default.
• W4285391903 startingPage "791" @default.
• W4285391903 abstract "Although great strides have been achieved, schistosomiasis japonica remains a major public health concern in China. Immunodiagnostics have been widely accepted as the first choice in large-scale screening of Schistosoma japonicum human infections, and indirect hemagglutination test (IHA), enzyme-linked immunosorbent assay (ELISA), and dipstick dye immunoassay (DDIA) are currently the three most common immunological tests for the diagnosis of S. japonicum human infections in China. This meta-analysis aimed to comprehensively assess the performance of IHA, ELISA, and DDIA for the field diagnosis of S. japonicum human infections. A total of 37 eligible publications were enrolled in the final analysis, including 29 Chinese publications and 8 English publications. No significant heterogeneities were detected among the studies reporting ELISA (I2 = 88%, p < 0.05), IHA (I2 = 95%, p < 0.05), or DDIA (I2 = 84%, p < 0.05). DDIA showed the highest pooled sensitivity (90.8%, 95% CI: 84.6% to 94.7%) and IHA presented the highest pooled specificity for detection of S. japonicum human infections (71.6%, 95% CI: 65.9% to 76.7%). Summary receiver operating characteristic (SROC) curve analysis showed that IHA exhibited the highest area under the SROC curve (AUC) (0.88, 95% CI: 0.85 to 0.9), and ELISA presented the lowest AUC (0.85, 95% CI: 0.82 to 0.88). Deeks’ funnel plots indicated no publication bias. IHA presented the highest sensitivity in medium-endemicity regions and the highest specificity for diagnosis of S. japonicum human infections in low-endemicity regions, and ELISA showed the highest diagnostic sensitivity in high-endemicity regions and the highest specificity in medium-endemicity regions, while DDIA exhibited the highest diagnostic sensitivity in high-endemicity regions and the highest specificity in low-endemicity regions. IHA and DDIA presented a higher efficiency for the diagnosis of S. japonicum human infections in marshland and lake regions than in hilly and mountainous regions, while ELISA showed a comparable diagnostic sensitivity between in marshland and lake regions and hilly and mountainous regions (88.3% vs. 88.6%), and a higher specificity in marshland and lake regions than in hilly and mountainous regions (60% vs. 48%). Our meta-analysis demonstrates a comparable diagnostic accuracy of IHA, ELISA, and DDIA for S. japonicum human infections, and the diagnostic sensitivity and specificity of IHA, ELISA, and DDIA vary in types and infection prevalence of endemic regions. DDIA combined with IHA is recommended as a tool for screening chemotherapy targets and seroepidemiological surveys during the stage moving towards schistosomiasis elimination in China. Further studies to examine the effectiveness of combinations of two or three immunological tests for diagnosis of S. japonicum human infections are warranted." @default.
• W4285391903 created "2022-07-14" @default.
• W4285391903 creator A5006106835 @default.
• W4285391903 creator A5032608404 @default.
• W4285391903 creator A5051788902 @default.
• W4285391903 creator A5058240607 @default.
• W4285391903 creator A5090520641 @default.
• W4285391903 date "2022-07-13" @default.
• W4285391903 modified "2023-09-26" @default.
• W4285391903 title "The Efficiency of Commercial Immunodiagnostic Assays for the Field Detection of Schistosoma japonicum Human Infections: A Meta-Analysis" @default.
• W4285391903 cites W1968812949 @default.
• W4285391903 cites W1983357169 @default.
• W4285391903 cites W1992898202 @default.
• W4285391903 cites W2026198462 @default.
• W4285391903 cites W2028963441 @default.
• W4285391903 cites W2031883425 @default.
• W4285391903 cites W2032431139 @default.
• W4285391903 cites W2061334852 @default.
• W4285391903 cites W2064320511 @default.
• W4285391903 cites W2089736534 @default.
• W4285391903 cites W2093838102 @default.
• W4285391903 cites W2098497474 @default.
• W4285391903 cites W2104408663 @default.
• W4285391903 cites W2111891167 @default.
• W4285391903 cites W2120456844 @default.
• W4285391903 cites W2123300495 @default.
• W4285391903 cites W2129860743 @default.
• W4285391903 cites W2136005843 @default.
• W4285391903 cites W2149672986 @default.
• W4285391903 cites W2161560555 @default.
• W4285391903 cites W2234649023 @default.
• W4285391903 cites W2254286060 @default.
• W4285391903 cites W2335928846 @default.
• W4285391903 cites W2369582718 @default.
• W4285391903 cites W2402172384 @default.
• W4285391903 cites W2461095328 @default.
• W4285391903 cites W2465186347 @default.
• W4285391903 cites W2474970639 @default.
• W4285391903 cites W2513685684 @default.
• W4285391903 cites W2561201975 @default.
• W4285391903 cites W2589825248 @default.
• W4285391903 cites W2792071462 @default.
• W4285391903 cites W2795339577 @default.
• W4285391903 cites W2899268236 @default.
• W4285391903 cites W2939079770 @default.
• W4285391903 cites W2939213746 @default.
• W4285391903 cites W2989709607 @default.
• W4285391903 cites W2995078942 @default.
• W4285391903 cites W2997411964 @default.
• W4285391903 cites W2998261153 @default.
• W4285391903 cites W3024480713 @default.
• W4285391903 cites W3033721958 @default.
• W4285391903 cites W3034213340 @default.
• W4285391903 cites W3088919368 @default.
• W4285391903 cites W3095128165 @default.
• W4285391903 cites W3135115218 @default.
• W4285391903 cites W3159843450 @default.
• W4285391903 cites W3189639631 @default.
• W4285391903 cites W3198643737 @default.
• W4285391903 cites W3208422555 @default.
• W4285391903 cites W4211128418 @default.
• W4285391903 cites W4211156368 @default.
• W4285391903 cites W4212853223 @default.
• W4285391903 cites W4214777687 @default.
• W4285391903 cites W4220950565 @default.
• W4285391903 cites W4220995109 @default.
• W4285391903 doi "https://doi.org/10.3390/pathogens11070791" @default.
• W4285391903 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35890035" @default.
• W4285391903 hasPublicationYear "2022" @default.
• W4285391903 type Work @default.
• W4285391903 citedByCount "0" @default.
• W4285391903 crossrefType "journal-article" @default.
• W4285391903 hasAuthorship W4285391903A5006106835 @default.
• W4285391903 hasAuthorship W4285391903A5032608404 @default.
• W4285391903 hasAuthorship W4285391903A5051788902 @default.
• W4285391903 hasAuthorship W4285391903A5058240607 @default.
• W4285391903 hasAuthorship W4285391903A5090520641 @default.
• W4285391903 hasBestOaLocation W42853919031 @default.
• W4285391903 hasConcept C126322002 @default.
• W4285391903 hasConcept C159654299 @default.
• W4285391903 hasConcept C165901193 @default.
• W4285391903 hasConcept C203014093 @default.
• W4285391903 hasConcept C2776225656 @default.
• W4285391903 hasConcept C2777123769 @default.
• W4285391903 hasConcept C2780420688 @default.
• W4285391903 hasConcept C2909744060 @default.
• W4285391903 hasConcept C42972112 @default.
• W4285391903 hasConcept C58471807 @default.
• W4285391903 hasConcept C71924100 @default.
• W4285391903 hasConcept C90924648 @default.
• W4285391903 hasConcept C95190672 @default.
• W4285391903 hasConceptScore W4285391903C126322002 @default.
• W4285391903 hasConceptScore W4285391903C159654299 @default.
• W4285391903 hasConceptScore W4285391903C165901193 @default.
• W4285391903 hasConceptScore W4285391903C203014093 @default.
• W4285391903 hasConceptScore W4285391903C2776225656 @default.
• W4285391903 hasConceptScore W4285391903C2777123769 @default.
• W4285391903 hasConceptScore W4285391903C2780420688 @default.

• next