Unique ID issued by UMIN | UMIN000041080 |
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Receipt number | R000046912 |
Scientific Title | The utility of urinary antigen detection for diagnosis of legionellosis: systematic review and meta-analysis |
Date of disclosure of the study information | 2020/07/12 |
Last modified on | 2021/01/11 12:10:47 |
The utility of urinary antigen detection for diagnosis of legionellosis: systematic review and meta-analysis
The utility of urinary antigen detection for diagnosis of legionellosis: systematic review and meta-analysis
The utility of urinary antigen detection for diagnosis of legionellosis: systematic review and meta-analysis
The utility of urinary antigen detection for diagnosis of legionellosis: systematic review and meta-analysis
Japan |
Legionellosis
Pneumology | Infectious disease | Intensive care medicine |
Others
NO
To investigate the utility of urinary antigen detection for legionellosis
Others
Accuracy of a test
Others
Accuracy of urinary antigen detection for legionellosis
Complications
Costs
Others,meta-analysis etc
Not applicable |
Not applicable |
Male and Female
1. Patients with legionellosis and people without legionellosis
2. People who received tests of "urinary antigen detection" and "sputum culture or sputum PCR or serum antibody" for legionellosis
Nothing special
300
1st name | Takeshi |
Middle name | |
Last name | Kawasaki |
Graduate School of Medicine, Chiba University
Department of Respirology
260-8670
1-8-1, Inohana, Chuoku, Chiba-city, Chiba-prefecture,
043-222-7171
kawatake@chiba-u.jp
1st name | Takeshi |
Middle name | |
Last name | Kawasaki |
Graduate School of Medicine, Chiba University
Department of Respirology
260-8670
1-8-1, Inohana, Chuoku, Chiba-city, Chiba-prefecture
043-222-7171
kawatake@chiba-u.jp
Department of Respirology, Graduate School of Medicine, Chiba University
Self-funding
Self funding
Graduate School of Medicine, Chiba University
1-8-1, Inohana, Chuoku, Chiba-city, Chiba-prefecture
043-222-7171
kawatake@chiba-u.jp
NO
2020 | Year | 07 | Month | 12 | Day |
Unpublished
Preinitiation
2020 | Year | 07 | Month | 12 | Day |
2020 | Year | 07 | Month | 12 | Day |
2021 | Year | 03 | Month | 31 | Day |
[Database]
Observational studies written in English in MEDLINE or CENTRAL database will be evaluated.
[Data extraction and management/Assessment of risk of bias]
Two reviewers will independently extract data from included articles and assess the risk of bias of them. We will resolve any disagreement through discussion. We will consult a third review author if we disagree with each other.
[Meta-analysis]
We will perform a quantitative analysis using the random-effects model if studies are not heterogeneous.
[Subgroup analysis]
We will perform the subgroup analyses if available to evaluate the following items: the differences in accuracy of the test among kits, between analysis periods, or by ages, and the accuracy in pneumonia cases.
[Sensitivity analysis]
We will assess the robustness by excluding the studies with a high risk of bias.
2020 | Year | 07 | Month | 12 | Day |
2021 | Year | 01 | Month | 11 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000046912
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