scholarly journals A comparison of a fluorescence enzyme immunoassay versus indirect immunofluorescence for initial screening of connective tissue diseases: Systematic literature review and meta-analysis of diagnostic test accuracy studies

2018 ◽  
Vol 32 (4) ◽  
pp. 521-534 ◽  
Author(s):  
Michelle Elaine Orme ◽  
Carmen Andalucia ◽  
Sigrid Sjölander ◽  
Xavier Bossuyt
Author(s):  
Michelle Elaine Orme ◽  
Carmen Andalucia ◽  
Sigrid Sjölander ◽  
Xavier Bossuyt

AbstractObjectivesTo compare indirect immunofluorescence (IIF) for antinuclear antibodies (ANA) against immunoassays (IAs) as an initial screening test for connective tissue diseases (CTDs).MethodsA systematic literature review identified cross-sectional or case-control studies reporting test accuracy data for IIF and enzyme-linked immunosorbent assays (ELISA), fluorescence enzyme immunoassay (FEIA), chemiluminescent immunoassay (CLIA) or multiplex immunoassay (MIA). The meta-analysis used hierarchical, bivariate, mixed-effect models with random-effects by test.ResultsDirect comparisons of IIF with ELISA showed that both tests had good sensitivity (five studies, 2321 patients: ELISA: 90.3% [95% confidence interval (CI): 80.5%, 95.5%] vs. IIF at a cut-off of 1:80: 86.8% [95% CI: 81.8%, 90.6%]; p = 0.4) but low specificity, with considerable variance across assays (ELISA: 56.9% [95% CI: 40.9%, 71.5%] vs. IIF 1:80: 68.0% [95% CI: 39.5%, 87.4%]; p = 0.5). FEIA sensitivity was lower than IIF sensitivity (1:80: p = 0.005; 1:160: p = 0.051); however, FEIA specificity was higher (seven studies, n = 12,311, FEIA 93.6% [95% CI: 89.9%, 96.0%] vs. IIF 1:80 72.4% [95% CI: 62.2%, 80.7%]; p < 0.001; seven studies, n = 3251, FEIA 93.5% [95% CI: 91.1%, 95.3%] vs. IIF 1:160 81.1% [95% CI: 73.4%, 86.9%]; p < 0.0001). CLIA sensitivity was similar to IIF (1:80) with higher specificity (four studies, n = 1981: sensitivity 85.9% [95% CI: 64.7%, 95.3%]; p = 0.86; specificity 86.1% [95% CI: 78.3%, 91.4%]). More data are needed to make firm inferences for CLIA vs. IIF given the wide prediction region. There were too few studies for the meta-analysis of MIA vs. IIF (MIA sensitivity range 73.7%–86%; specificity 53%–91%).ConclusionsFEIA and CLIA have good specificity compared to IIF. A positive FEIA or CLIA test is useful to support the diagnosis of a CTD. A negative IIF test is useful to exclude a CTD.


Reumatismo ◽  
2021 ◽  
Vol 73 (3) ◽  
Author(s):  
S. Pirri ◽  
R. Talarico ◽  
D. Marinello ◽  
G. Turchetti ◽  
M. Mosca

Lack of medication adherence is frequent in chronic connective tissue diseases and is associated with poorer health outcomes, low quality of life and economic loss. This research is based on a systematic literature search and aims to identify the surveys and tools used for the assessment of medication adherence in patients with connective tissue diseases (CTDs) and in particular the tools co-designed with patients. A systematic literature review was performed in PubMed and Embase databases searching for studies concerning the application of surveys or tools designed for medication adherence assessment. A specific analysis was also performed to identify which of these existing tools were developed in co-design with patients affected by CTDs. 1958 references were identified, and 31 studies were finally included. Systemic lupus erythematosus was the most investigated disease, followed by the Behçet’s disease. The tools used to assess adherence in CTDs were, in most cases, valid and useful. However, the results showed a certain degree of heterogeneity among the studies and the medication adherence assessment and measurement tools adopted, which were mostly based on selfreported questionnaire. No co-designed tools with patients were found. Low- and non-adherence were explored in some CTDs with valid and useful tools, while other CTDs still need to be assessed. Therefore, more efforts should be made to better understand the specific reasons for the low- and non-adherence in CTDs patients.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1159-P
Author(s):  
GLENN M. DAVIES ◽  
ANN MARIE MCNEILL ◽  
ELIZA KRUGER ◽  
STACEY L. KOWAL ◽  
FLAVIA EJZYKOWICZ ◽  
...  

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