May 24, 2025
Lesmes meta-analysis protocol for human studies
This protocol is a draft, published without a DOI.
- Lida Carolina Lesmes Rodriguez1,
- Dumar Alexander Jaramillo-Hernández1,
- Adolfo Vásquez-Trujillo1
- 1Universidad de los Llanos
Protocol Citation: Lida Carolina Lesmes Rodriguez, Dumar Alexander Jaramillo-Hernández, Adolfo Vásquez-Trujillo 2025. Lesmes meta-analysis protocol for human studies. protocols.io https://protocols.io/view/lesmes-meta-analysis-protocol-for-human-studies-gzxybx7px
License: This is an open access protocol 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
Protocol status: Working
We use this protocol and it's working
Created: May 23, 2025
Last Modified: May 24, 2025
Protocol Integer ID: 218840
Keywords: bacterial exposure, combined effect of bacterial exposure, study outcome, analysis protocol for human study, included study, eligible study, study, analysis, prevalence, studies two investigator, bacteria, risk of bias, hazard ratio, human study, health parameter, effects model, study design
Abstract
Two investigators will check the titles and abstracts of included papers. The full text of all potentially eligible studies will be retrieved and independently assessed against the inclusion criteria. The selection process will be summarized using a PRISMA flow diagram. For the articles selected, we will extract the study design, number of participants and their characteristics, location in Colombia, year of publication, diagnostic method, prevalence and/or seroprevalence ratio, and associations (risk or protection factors). We will assess the risk of bias in all included studies using the JBI’s critical appraisal tools to assist in the trustworthiness, relevance, and results of the papers. We will perform meta-analyses using random-effects models to estimate the combined effect of bacterial exposure on each study outcome. We will estimate the association between environmental or health parameters and the study outcomes (hazard ratio, risk ratio, odds ratio, 95% confidence intervals, mean, and SD). Finally, we will perform subgroup analyses according to the bacteria and the geographical regions of Colombia.
Troubleshooting
Data collection process
Data extraction (selection and coding)
The full text of all potentially eligible studies will be retrieved and independently assessed against the inclusion criteria.
Two reviewers will decide which studies fit the inclusion criteria; any disagreements will be resolved by discussion with the third reviewer.
The selection process will be summarized using a PRISMA flow diagram.
Data from selected articles will be transferred from their original presentation to a proper form in Microsoft ExcelÓsoftware, with each study receiving a reference code. If necessary, we will collect indirect data from figures and charts.
For the articles selected, we will collect the following information: study design, number of participants and their characteristics, location in Colombia (department and municipality), year of publication, diagnostic method, prevalence and/or seroprevalence ratio, and associations (risk or protection factors).
Risk of bias (quality) assessment
We will assess the risk of bias in all included studies using the JBI’s critical appraisal tools to assist in the trustworthiness, relevance, and results of the papers. The quality of the included evidence will be critically appraised by one reviewer and confirmed by a second reviewer.
Planned data and synthesis
Strategy for data synthesis
We will produce two descriptive summary tables of all included studies to synthesize the information from the literature. One table describes the prevalence studies, and the other represents the seroprevalence studies. People will be pooled and presented as a percentage taking into account the exposure to each bacterium.
We will perform meta-analyses using random-effects models to estimate the combined effect of bacterial exposure on each study outcome. Meta-analysis for the association between bacterial exposure and each outcome will be undertaken separately.
We will quantify heterogeneity between studies using the I² statistic.
Between-study variance will be estimated using the τ² (T2) statistic.
We will perform sensitivity analyses on basis on the risk of bias results in the studies to assess the robustness of our findings to different assumptions.
We will estimate the combined effect estimates from studies.
We will estimate the association between environmental or health parameters and the study outcomes (hazard ratio, risk ratio, odds ratio, 95% confidence intervals, mean, and SD).
Analysis of subgroups or subsets
We will perform subgroup analyses according to the bacteria and the geographical regions of Colombia.