A protocol is a detailed document that describes the research plan before the systematic review even begins. It specifies the objectives, methods, inclusion/exclusion criteria, databases to be searched, and the planned analysis steps. A protocol ensures transparency and reduces the risk of bias by preventing methods from being changed as the review progresses.
Why write a protocol?
Par exemple, les protocoles de revues systématiques peuvent être enregistrés dans PROSPERO, le registre international prospectif des revues systématiques.
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There are many standards that specify the required information for drafting a protocol; following one ensures that your systematic review is methodologically rigorous, transparent, and reproducible. Requirements may vary depending on where you intend to publish your protocol; if you already know, check their specific guidelines.
Most of these standards, however, include some common sections:
Optional sections may also be useful:
Practical Tips for Writing a Protocol:
Amendments: Yes, But…
A systematic review is an iterative process, which means it is always possible to make modifications to the protocol if necessary. However, modifying the protocol after data extraction and quality assessment may introduce potential bias. Therefore, it is recommended to make changes only before the data extraction stage.
Examples of Protocol Guidelines:
Staying Up to Date with Guidelines:
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Protocol registries are databases or platforms where researchers register their study protocols, particularly for systematic reviews and meta-analyses, before starting their research.
This pre-registration process aims to increase transparency, accountability, and reproducibility in research by making the study objectives, methods, and planned analyses publicly accessible. Protocol registries ensure that researchers follow the pre-registered methods, thereby reducing the risk of bias related to selective outcome reporting or mid-project changes that could alter the conclusions. They also make it possible to track studies and prevent duplication.
Here are some examples of protocol registries:
Best practices
Clear role assignment: At the beginning of the review project, clearly define roles and expectations for each team member. Identify the project leader, methodologist, statistician, librarian, information specialist, etc. Specify how many people are needed for each stage (e.g., title and abstract screening, full-text review, and data extraction). Include the initials of lead reviewers in the protocol to clarify responsibilities, including who will resolve conflicts.
Flexibility for revisions: Because the review process is iterative, it is normal to revise and adjust the protocol before final registration. Discuss timelines with the team and, if necessary, conduct pilot testing of screening and data extraction steps, adjusting the protocol as needed. This flexibility ensures the protocol accurately reflects the team’s needs.
Acceptance and documentation of changes: Record all changes in the protocol registry, thereby strengthening transparency and credibility. Modifications to the protocol, especially after public registration, should be noted and justified along the way.
Piloting templates: Test templates for data extraction and quality assessment to verify that they capture the relevant information. Pilot testing allows the team to refine templates based on feedback from initial analyses, improving the quality and consistency of data collection.
Common pitfalls
Lack of a protocol
Vague objectives: Objectives that are too broad or imprecise from the outset can create confusion. Clearly define the research question to ensure it aligns with the scope of the review.
Unclear eligibility criteria: Vague inclusion and exclusion criteria can result in inconsistent study selection. Clearly define elements such as population, interventions, comparators, outcomes, and study types to ensure uniform decisions during selection.
Inadequate search strategy: An insufficient search risks missing important studies. Develop a comprehensive strategy in collaboration with a librarian or information specialist to ensure all relevant aspects are covered.
Insufficient time for writing: Rushing the writing of the protocol can compromise its quality. Allocate sufficient time to ensure the document is rigorous and accurate.
Neglecting data extraction details and bias assessment: Document your methods for data extraction and quality assessment at the outset, especially when multiple types of studies are included.
Lack of collaboration: Poor collaboration and unclear roles within the team can lead to arbitrary decisions. Define roles at the beginning and include them in the protocol to ensure balanced contributions from all members.
Failure to register: Not registering the protocol limits visibility, increases the risk of duplication, and can lead to wasted effort. Register it in advance to promote transparency. Some journals also publish protocols, which increases visibility and reduces the likelihood that other researchers will work on the same topic without knowing.
Reference
Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement
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