Unique ID issued by UMIN | UMIN000048272 |
---|---|
Receipt number | R000055010 |
Scientific Title | Effectiveness of point of care testing (POCT) devices for postpartum hemorrhage: A systematic review and meta-analysis |
Date of disclosure of the study information | 2022/07/06 |
Last modified on | 2024/07/05 09:16:24 |
Effectiveness of point of care testing (POCT) devices for postpartum hemorrhage: A systematic review and meta-analysis
Investigation of the usefulness of POCT devices in postpartum hemorrhage
Effectiveness of point of care testing (POCT) devices for postpartum hemorrhage: A systematic review and meta-analysis
Investigation of the usefulness of POCT devices in postpartum hemorrhage
Japan |
postpartum hemorrhage
Obstetrics and Gynecology |
Others
NO
To conduct a systematic review of the literature on the use and efficacy of POCT devices in postpartum hemorrhage.
Efficacy
Others
Others
Not applicable
Diagnostic accuracy (sensitivity, specificity, positive predictive value, negative predictive value) for hypofibrinogenemia
Correlation with fibrinogen values measured by conventional methods such as the Clauss method (correlation coefficient, coefficient of determination)
Others,meta-analysis etc
Not applicable |
Not applicable |
Female
[inclusion Criteria for study]
1. Literature in English
2. Studies on human subjects
[Selection Criteria for Eligible Patients]
nothing
[Exclusion Criteria for Studies]
1. Literature written in languages other than English
2. Research on animals
3. Research that has not been published, such as abstracts of academic conferences and clinical trial protocols
[Exclusion criteria for eligible patients]
1. Pregnant women with obvious congenital coagulopathy
1st name | Eishin |
Middle name | |
Last name | Nakamura |
Yokohama City University
Department of Health Data Science, Graduate School of Data Science
236-0027
22-2 Seto, Kanazawa-ku, Yokohama, Kanagawa
81-45-787-2311
einaka@saitama-med.ac.jp
1st name | Eishin |
Middle name | |
Last name | Nakamura |
Yokohama City University
Department of Health Data Science, Graduate School of Data Science
236-0027
22-2 Seto, Kanazawa-ku, Yokohama, Kanagawa
81-45-787-2311
einaka@saitama-med.ac.jp
Yokohama City University
Self-financing of funds
Self funding
Yokohama City University
22-2 Seto, Kanazawa-ku, Yokohama, Kanagawa
81-45-787-2311
einaka@saitama-med.ac.jp
NO
横浜市立大学
2022 | Year | 07 | Month | 06 | Day |
Unpublished
Preinitiation
2022 | Year | 07 | Month | 04 | Day |
2022 | Year | 07 | Month | 05 | Day |
2023 | Year | 06 | Month | 15 | Day |
2023 | Year | 06 | Month | 15 | Day |
2023 | Year | 06 | Month | 15 | Day |
2024 | Year | 06 | Month | 01 | Day |
This study will be a systematic review and meta-analysis.
Studies will be conducted in accordance with the PRISMA Statement and the Cochrane Handbook.
The electronic databases to be used for the search will be MEDLINE, Embase, CENTRAL, Cochrane database, and Web of Science.
2022 | Year | 07 | Month | 04 | Day |
2024 | Year | 07 | Month | 05 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000055010