Aug 29, 2023
Post-diagnosis dietary patterns among cancer survivors in relation to all-cause mortality and cancer-specific mortality: a systematic review and meta-analysis of cohort studies
- Maria-Eleni Spei1,
- Ioannis Bellos1,
- esamoli 1,
- Vassiliki Benetou1
- 1Department of Hygiene, Epidemiology and Medical Statistics, Department of, School of Medicine, National and Kapodistrian University of Athens, 75 Mikras Asias street, 115 27 Athens, Greece
Protocol Citation: Maria-Eleni Spei, Ioannis Bellos, esamoli , Vassiliki Benetou 2023. Post-diagnosis dietary patterns among cancer survivors in relation to all-cause mortality and cancer-specific mortality: a systematic review and meta-analysis of cohort studies. protocols.io https://dx.doi.org/10.17504/protocols.io.yxmvm3en5l3p/v1
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: August 29, 2023
Last Modified: August 29, 2023
Protocol Integer ID: 87084
Keywords: posteriori dietary patterns with robust outcome measure, dietary pattern, analysis of cohort study, cancer survivor, cohort study, specific mortality, systematic review, systematic literature review, cause mortality, cancer, such as total mortality, risk of bias, mortality, intervention, total mortality, robust risk of bias tool, robust outcome measure, included study, risk
Abstract
This study aims to synthesize the latest evidence regarding the association of a priori and a posteriori dietary patterns with robust outcome measures, such as total mortality and cancer-specific mortality, expanding our search chronologically, including more databases, implementing robust risk of bias tools and focusing exclusively on the post-diagnosis period. A systematic literature review will be conducted and all cohort studies will be evaluated. The methodological rigour of the included studies was critically appraised using the ROBINS-I (Risk Of Bias In Non-randomized Studies of Interventions) tool, which is proposed for non-randomized studies of interventions/exposures.
Troubleshooting
Objective: To synthesize the latest evidence regarding the association of a priori and
a posteriori dietary patterns with robust outcome measures, such as total mortality and cancer-specific mortality.
Eligibility criteria: Studies will be eligible to be included if: (i) they have a cohort design, prospective
or retrospective, (ii) examine the association of a priori or a posteriori dietary pattern or patterns after cancer diagnosis with at least one of the primary endpoints of interest, all-cause mortality and
cancer-specific mortality, (iii) the study population consists of cancer survivors, defined as women and men aged 18 years and older with a diagnosis of primary cancer (from the time of diagnosis through the remainder of their lives), (iv) the minimum sample size is 100 participants, (v) the length of follow-up is at least six months, and (vi) provide a measure of association, such as Hazard Ratio (HR), and the corresponding 95% confidence intervals (CIs), or sufficient information for their calculation, for the comparison between the highest versus the lowest category of adherence to one a priori or a posteriori dietary pattern. The search will exclude editorials, letters to the Editor, comments, conference abstracts, systematic reviews and meta-analyses and it will be
limited to English articles.
Literature search: The literature search will be performed in three electronic databases MEDLINE,
Scopus and Web of Science from January 2000 up to 09 October 2022. Reference
lists of previous meta-analyses and systematic reviews, as well as, from the
identified articles in the present review, will be also hand-searched in order
to retrieve any additional relevant articles.
Data extraction: The following data will be extracted: first author, publication year, study
location, cancer site, cancer stage (where available), sample size, age and sex
distribution, follow-up duration, outcome assessed (all-cause mortality and
cancer-specific mortality), types of dietary patterns and dietary assessment
method used, increments or categories used for the analysis of dietary patterns
(i.e. values from quartiles/quintiles used to define the highest category and
the lowest category taken as reference), adjustment covariates and the reported
measures of associations (i.e HR with associated 95% CIs).
Risk of bias: The risk of bias in the included cohort studies will be
evaluated with the ROBINS-I tool, which takes into account seven domains of bias: confounding, selection of participants into the study, classification of exposures, deviations from
intended exposures during follow-up, missing data, outcome measurement, and
selection of reported result.
Data analysis: The pooled estimate for the association of the
highest vs. the lowest categories of adherence to post-diagnosis a prioriand a posteriori dietary patterns, grouped by cancer site and overall, with each of the outcomes of interest, i.e. all-cause and cancer-specific mortality, will be estimated by random effects meta-analysis models to take into account the between-study heterogeneity. The between-studies variance will be
estimated using the approach by Der Simonian and Laird. Heterogeneity will be
assessed by the I2 statistic, with values > 50% considered as substantial heterogeneity, and graphically by Galbraith plots. Publication bias will be assessed by funnel plots and Egger’s test will investigate the asymmetry in the case of more than 10 studies in the meta-analyses. We will
further apply subgroup analysis among studies by their assessment of the overall risk of bias. A cumulative meta-analysis by year of publication will be also performed for all-cause mortality and cancer-specific mortality. A sensitivity analysis with influence plots investigating the impact of a priori dietary patterns on overall mortality and cancer mortality by omitting one study at a
time and assessing its effect on the overall estimate will be also applied.