Unique ID issued by UMIN | UMIN000049116 |
---|---|
Receipt number | R000055843 |
Scientific Title | Risk factors for drug-resistant pathogens in community-onset pneumonia: a systematic review and meta-analysis |
Date of disclosure of the study information | 2022/10/04 |
Last modified on | 2022/12/12 09:19:11 |
Risk factors for drug-resistant pathogens in community-onset pneumonia: a systematic review and meta-analysis
Risk factors for drug-resistant pathogens in community-onset pneumonia: a systematic review and meta-analysis
Risk factors for drug-resistant pathogens in community-onset pneumonia: a systematic review and meta-analysis
Risk factors for drug-resistant pathogens in community-onset pneumonia: a systematic review and meta-analysis
Japan |
community-onset pneumonia
Pneumology |
Others
NO
This study aims to identify risk factors for drug-resistant pathogens in community-onset pneumonia.
Others
This study aims to identify risk factors for drug-resistant pathogens in community-onset pneumonia.
risk factors for drug-resistant pathogens in community-onset pneumonia
Others,meta-analysis etc
18 | years-old | <= |
Not applicable |
Male and Female
This systematic review will target participants as follows: Adult patients with community-acquired pneumonia as defined by an official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America 2019; Adult patients with nursing and healthcare-associated pneumonia as defined by an official clinical practice guideline of the Japanese Respiratory Society 2017. Study designs for eligible studies will be RCTs and observational studies. Drug-resistant bacteria are defined as "pathogens such as Pseudomonas aeruginosa, methicillin-resistant Staphylococcus aureus, Acinetobacter baumannii, Stenotrophomonas maltophilia, and ESBL-producing Enterobacteriaceae that are not sensitive to beta-lactam antibiotics, macrolides, or respiratry quinolones. Stenotrophomonas maltophilia ESBL-producing Enterobacteriaceae, and other pathogens".
Pediatric patients under 18 years of age and adult patients with hospital-acquired pneumonia and ventilator-associated pneumonia as defined by an official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America 2016
1st name | Masahiro |
Middle name | |
Last name | Katsurada |
Kita-Harima Medical Center
Department of Respiratory Medicine
675-1392
926-250, Ono, Hyogo, Japan
0794-88-8800
pgex309t@gmail.com
1st name | Yosuke |
Middle name | |
Last name | Fukuda |
Showa University Koto Toyosu Hospital
Department of medicine, Division of Respiratory medicine and Allergology
1358577
5-1-38, Toyosu, Koto-ku, Tokyo, Japan
03-6204-6000
y.f.0423@med.showa-u.ac.jp
Japan Respiratory Society
N/A
Other
The Japanese Respiratory Society
8-28-3, Hongo, Bunkyo-ku, Tokyo, Japan
03-5805-3553
info@jrs.or.jp
NO
2022 | Year | 10 | Month | 04 | Day |
Unpublished
Preinitiation
2022 | Year | 10 | Month | 04 | Day |
2022 | Year | 10 | Month | 04 | Day |
2023 | Year | 03 | Month | 31 | Day |
1. A systematic search of the literature will be conducted according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) Statement. We will search the following electrical databases; the Cochrane Central Resister of Controlled Trials (CENTRAL); MEDLINE via Ovid. Additionally, we will also search the other resources; the World health Organization International Clinical Trials Platform Search Portal (ICTRP) and ClinicalTrials.gov.
2. Meta-analysis will be performed using statistical software, such as Review Manager 5.3.5, R, and STATA.
3. To assess the risk of bias, we will use the Risk of Bias 1 tool for RCTs and Risk of Bias Assessment Tool for Nonrandomized Studies (RoBANS) for non-RCT/ Observational studies. Two reviewers will independently screen the full text of each study and decide whether the studies met the inclusion criteria. Any disagreement will be resolved by discussion or consulting the third reviewer. We will assess heterogeneity by using the I2 statistical method and publication bias using funnel plot.
4. Sensitivity analysis and subgroup analysis will be performed as needed based on the results of the adopted literature.
5. Forest plots will be created for risk factors for drug-resistant pathogens.
2022 | Year | 10 | Month | 04 | Day |
2022 | Year | 12 | Month | 12 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000055843