LSTM Home > LSTM Research > LSTM Online Archive

The association between ambient air pollution and pulmonary tuberculosis: a systematic review protocol

Dimala, Christian Akem, Kadia, Benjamin and Hansell, Anna (2020) 'The association between ambient air pollution and pulmonary tuberculosis: a systematic review protocol'. Environmental Evidence, Vol 9, Issue 29.

[img]
Preview
Text
s13750-020-00213-9.pdf - Published Version
Available under License Creative Commons Attribution.

Download (876kB) | Preview

Abstract

Background
There is inconclusive evidence on the association between ambient air pollution and pulmonary tuberculosis-related hospital admission and mortality. This review aims to assess if and to what extent, selected air pollutants are associated to pulmonary tuberculosis (PTB) incidence, hospital admissions and mortality.

Methods
This will be a systematic review and meta-analysis of studies published in English between January 1st, 1946 and October 31st, 2020, quantitatively assessing the association between air pollutants and PTB incidence, hospital admissions and mortality. A comprehensive search strategy will be used to search the databases: Medline, Embase, Scopus and The Cochrane Library. Retrieved studies will be screened based on the set eligibility criteria and data will be extracted from eligible studies. Extracted data will be analysed on STATA version 14.0 software. Studies included will be assessed for their quality using the respective Study Quality Assessment Tools of the National Health Institute. The quality of the evidence on the study outcomes will be graded using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. The risk of bias will be assessed using Cochrane’s Risk of Bias In Non-randomized Studies-of Interventions (ROBINS-I) tool. Study characteristics, socio-demographic and clinical characteristics across eligible studies will be summarised and presented. Pooled estimates of the measures of association between air pollutants and PTB incidence, hospital admission and mortality will be obtained through random-effect meta-analyses models and the respective I2 test statistics will be reported. Meta-regression analyses will be done in case of significant between-study heterogeneity.

Item Type: Article
Subjects: WA Public Health > Air pollution > WA 750 Air sanitation and hygiene
WA Public Health > Air pollution > WA 754 Pollution and pollutants (incl. tobacco pollution; passive smoking)
WA Public Health > Statistics. Surveys > WA 950 Theory or methods of medical statistics. Epidemiologic methods
WF Respiratory System > Tuberculosis > WF 200 Tuberculosis (General)
Faculty: Department: Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI): https://doi.org/10.1186/s13750-020-00213-9
Depositing User: Rachael O'Donoghue
Date Deposited: 28 Nov 2020 15:01
Last Modified: 28 Nov 2020 15:03
URI: https://archive.lstmed.ac.uk/id/eprint/16210

Statistics

View details

Actions (login required)

Edit Item Edit Item