| Literature DB >> 28582412 |
Anna Beltrame1, Massimo Guerriero2, Andrea Angheben1, Federico Gobbi1, Ana Requena-Mendez3, Lorenzo Zammarchi4, Fabio Formenti1, Francesca Perandin1, Dora Buonfrate1, Zeno Bisoffi1.
Abstract
BACKGROUND: Schistosomiasis is a neglected infection affecting millions of people, mostly living in sub-Saharan Africa. Morbidity and mortality due to chronic infection are relevant, although schistosomiasis is often clinically silent. Different diagnostic tests have been implemented in order to improve screening and diagnosis, that traditionally rely on parasitological tests with low sensitivity. Aim of this study was to evaluate the accuracy of different tests for the screening of schistosomiasis in African migrants, in a non endemic setting. METHODOLOGY/PRINCIPALEntities:
Mesh:
Substances:
Year: 2017 PMID: 28582412 PMCID: PMC5472324 DOI: 10.1371/journal.pntd.0005593
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Study flow chart.
Accuracy and predictive values using microscopy as the gold standard (prevalence 65/373 = 17.4%).
| Test | Sensitivity | Specificity | PPV | NPV |
|---|---|---|---|---|
| CCA | 31/65 | 285/308 | 57% | 89% |
| ELISA | 53/65 (82%, CI 70–90) | 258/308 (84%, CI 79–88) | 51% | 96% |
| WB | 60 | 222/308 | 41% | 98% |
| ICT | 61 | 191/308 | 34% | 98% |
1 Including 1 borderline result classified as positive as explained in Methods
2 Including 6 borderline results classified as positive as explained in Methods
3 Including 1 borderline result classified as positive as explained in Methods
4 Including 1 borderline result classified as positive as explained in Methods
5 Including 5 borderline results classified as positive as explained in Methods
6 Including 23 borderline results classified as positive as explained in Methods
Accuracy and predictive values according to CRS and to LCA.
| Test | Sensitivity (95% CI) | |||||||
|---|---|---|---|---|---|---|---|---|
| CRS | LCA | CRS | ||||||
| 29% (22–37) | 29% (21–37) | 95% (91–97) | ||||||
| 71% (63–78) | 76% (67–84) | 99.6% (98–100) | ||||||
| 92% (86–96) | 94% (88–97) | 94% (90–97) | ||||||
| 96% (91–99) | 96% (90–99) | 83% (77–87) | ||||||
| 45% (37–54) | 48% (39–57) | 100% | ||||||
1 by definition
Fig 2Graphical representation of the main results (sensitivity, specificity, positive predictive value, negative predictive value) of the 5 tests examined, according to the three different reference standards used.
GOLD = primary reference standard, based on microscopy; CRS = composite reference standard; LCA = Latent Class Analysis.
Predictive values of a combination of positive ICT and a positive (PPV) or a negative (NPV) second test, according to Latent Class Analysis (LCA).
| Second test | PPV | NPV |
|---|---|---|
| 90% | 47% | |
| 98% | 51% | |
| 82% | 87% | |
| 100% | 43% |