Please use this identifier to cite or link to this item:
|Statistics||SHARE CORE MendeleyBASE||
|Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE|
The association of telomere length with substance use disorders: systematic review and meta-analysis protocol
|Authors:||Navarro-Mateu, Fernando; Rubio-Aparicio, María; Cayuela, Pedro; Álvarez, Francisco-Javier; Roca-Vega, Agustín; Chirlaque, Maria Dolores; Cayuela, María Luisa; Husky, Mathilde M.; Martínez, Salvador; Sánchez-Meca, Julio|
Substance use disorders
|Citation:||Systematic Reviews 8: 298 (2019)|
|Abstract:||[Background]: The present protocol was designed for a systematic review and meta-analysis aimed at determining the association of telomere length with substance use disorders with the exclusion of nicotine addiction, and to identify potential moderators of the effect of telomere length. Such methodological information may provide guidance to improve the quality of future research on this important topic.|
[Methods]: Potential studies will be identified through electronic databases (PubMed/MEDLINE, EMBASE, PsycINFO, and Web of Science) up from inception onwards. The inclusion criteria will include published or unpublished observational studies (cohort, case–control, and cross-sectional studies) reporting telomere length in adult patients with substance use disorder compared with a control group. Non-human studies or other study designs such as reviews, case-only, family-based, and/or population studies with only healthy participants will be excluded, as well as those focused solely on nicotine addiction. The main outcome will be telomere length in adults with substance use disorder (primary) and, specifically, in those with alcohol use disorder (secondary). Two investigators will independently evaluate the preselected studies for possible inclusion and will extract data following a standardized protocol. Disagreements will be resolved by consensus. The risk of bias of all included studies will be assessed using the Newcastle–Ottawa Quality Assessment Scale for non-randomized studies. Data will be converted into standardized mean differences as effect size index, and random-effects models will be used for the meta-analysis. Cochran’s Q statistic, I2 index, and visual inspection of the forest plot will be used to verify study heterogeneity. Subgroup analyses and meta-regressions will be conducted to ascertain heterogeneity. Several sensitivity analyses will be conducted to address the influence of potential confounding factors. Publication bias will be examined using the “funnel plot” method with Duval and Tweedie’s trim-and-fill method and Egger test.
[Discussion]: This systematic review will assess the association of telomere length with substance use disorders aside from nicotine addiction.
[Systematic review registration]: PROSPERO registration number CRD42019119785
|Publisher version (URL):||https://doi.org/10.1186/s13643-019-1199-x|
|Appears in Collections:||(IN) Artículos|