Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/42199
Title: Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis
Authors: Boateng, Irene
Stuart, Beth
Becque, Taeko
Barrett, Bruce
Bostock, Jennifer
BRUYNDONCKX, Robin 
Carr-Knox, Lucy
Ciccone, Emily J.
Coenen , Samuel
Ebell, Mark
Gillespie, David
Hayward, Gail
Hedin, Katarina
Hood, Kerenza
Lau, Tin Man Mandy
Little, Paul
Merenstein, Dan
Mulogo, Edgar
Ordonez-Mena, Jose
Muir, Peter
Samuel, Kirsty
Shaikh, Nader
Tonner, Sharon
van der Velden, Alike W.
Verheij, Theo
Wang, Kay
Hay, Alastair D.
Francis, Nick
Editors: Gilchrist, Francis John
Issue Date: 2023
Publisher: PUBLIC LIBRARY SCIENCE
Source: PLoS One, 18 (11) (Art N° e0294845)
Abstract: BackgroundResistance to antibiotics is rising and threatens future antibiotic effectiveness. 'Antibiotic targeting' ensures patients who may benefit from antibiotics receive them, while being safely withheld from those who may not. Point-of-care tests may assist with antibiotic targeting by allowing primary care clinicians to establish if symptomatic patients have a viral, bacterial, combined, or no infection. However, because organisms can be harmlessly carried, it is important to know if the presence of the virus/bacteria is related to the illness for which the patient is being assessed. One way to do this is to look for associations with more severe/prolonged symptoms and test results. Previous research to answer this question for acute respiratory tract infections has given conflicting results with studies has not having enough participants to provide statistical confidence.AimTo undertake a synthesis of IPD from both randomised controlled trials (RCTs) and observational cohort studies of respiratory tract infections (RTI) in order to investigate the prognostic value of microbiological data in addition to, or instead of, clinical symptoms and signs.MethodsA systematic search of Cochrane Central Register of Controlled Trials, Ovid Medline and Ovid Embase will be carried out for studies of acute respiratory infection in primary care settings. The outcomes of interest are duration of disease, severity of disease, repeated consultation with new/worsening illness and complications requiring hospitalisation. Authors of eligible studies will be contacted to provide anonymised individual participant data. The data will be harmonised and aggregated. Multilevel regression analysis will be conducted to determine key outcome measures for different potential pathogens and whether these offer any additional information on prognosis beyond clinical symptoms and signs.Trial registrationPROSPERO Registration number: CRD42023376769.
Notes: Stuart, B (corresponding author), Univ Southampton, Fac Med, Primary Care Res Ctr, Southampton, England.; Stuart, B (corresponding author), Queen Mary Univ London, Wolfson Inst Populat Hlth, Ctr Evaluat & Methods, London, England.
b.I.stuart@qmul.ac.uk
Keywords: Humans;Meta-Analysis as Topic;Anti-Bacterial Agents;Respiratory Tract Infections
Document URI: http://hdl.handle.net/1942/42199
ISSN: 1932-6203
e-ISSN: 1932-6203
DOI: 10.1371/journal.pone.0294845
ISI #: 001124506000095
Rights: 2023 Boateng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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