Unique ID issued by UMIN | UMIN000049090 |
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Receipt number | R000055924 |
Scientific Title | The predictive ability of the pulse oximetry-derived indexes for hypotension after spinal anesthesia for cesarean section: A systematic review and meta-analysis |
Date of disclosure of the study information | 2022/10/01 |
Last modified on | 2024/04/02 18:56:23 |
The predictive ability of the pulse oximetry-derived indexes for hypotension after spinal anesthesia for cesarean section: A systematic review and meta-analysis
The predictive ability of the pulse oximetry-derived indexes for hypotension after spinal anesthesia for cesarean section: A systematic review and meta-analysis
The predictive ability of the pulse oximetry-derived indexes for hypotension after spinal anesthesia for cesarean section: A systematic review and meta-analysis
The predictive ability of the pulse oximetry-derived indexes for hypotension after spinal anesthesia for cesarean section: A systematic review and meta-analysis
Japan |
Patients who undergo cesarean section
Anesthesiology |
Others
NO
The aim of this study is to investigate the predictive ability of these pulse oximetry-derived indexes (PI and PVI) for hypotension after spinal anesthesia for hypotension after spinal anesthesia for cesarean section
Efficacy
hypotension
Others,meta-analysis etc
Not applicable |
Not applicable |
Female
We include articles describing retrospective and prospective observational studies, and randomized controlled trials.
We include studies meeting the following criteria: enrolled patients underwent cesarean section; evaluated the PI or PVI for the prediction of hypotension after spinal anesthesia for cesarean section.
We excluded case reports, case series, animal studies.
1st name | Takahiro |
Middle name | |
Last name | Mihara |
Graduate School of Data Science, Department of Health Data Science, Yokohama City University.
Department of Health Data Science
220-8107
Yokohama Landmark Tower 7F, 2-2-1 Minato Mirai, Nishi-ku, Yokohama, Kanagawa, Japan
+8145-787-2311
meta.analysis.r@gmail.com
1st name | Takahiro |
Middle name | |
Last name | Mihara |
Graduate School of Data Science, Department of Health Data Science, Yokohama City University.
Department of Health Data Science
220-8107
Yokohama Landmark Tower 7F, 2-2-1 Minato Mirai, Nishi-ku, Yokohama, Kanagawa, Japan
+8145-787-2311
meta.analysis.r@gmail.com
Graduate School of Data Science, Department of Health Data Science, Yokohama City University.
None
Self funding
Yokohama City University
Yokohama Landmark Tower 7F, 2-2-1 Minato Mirai, Nishi-ku, Yokohama, Kanagawa, Japan
+8145-787-2311
meta.analysis.r@gmail.com
NO
2022 | Year | 10 | Month | 01 | Day |
Unpublished
Open public recruiting
2022 | Year | 09 | Month | 23 | Day |
2022 | Year | 10 | Month | 01 | Day |
2022 | Year | 10 | Month | 08 | Day |
2023 | Year | 06 | Month | 15 | Day |
2023 | Year | 06 | Month | 15 | Day |
This study is a systematic review and meta-analysis. We follow the recommendations of the PRISMA (preferred reporting items for systematic review and meta-analysis) and Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy Version 2.
We will conduct a search in MEDLINE, Embase, Web of Science, The Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, the Clinicaltrial.gov, the European Union Clinical Trials Register (EU-CTR), the WHO International Clinical Trials Registry Platform (ICTRP), and the University Hospital Medical Information Network Clinical Trials Registry (UMIN).
Two authors will independently scan and select eligible studies and perform data extraction and assessment of the risk of bias.
Current protocol was submitted to PROSPERO on 24/09/2022. We are going to publish a protocol paper detailing our research plan.
The protcol has been published (DOI:10.1136/bmjopen-2022-069309).
2022 | Year | 10 | Month | 01 | Day |
2024 | Year | 04 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000055924
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