Literature DB >> 31722945

Epidemiology of venous thromboembolism in people with active tuberculosis: a systematic review and meta-analysis protocol.

Philippe Armel Awana1, Celestin Danwang2,3, Joel Noutakdie Tochie4, Jean Joel Bigna5.   

Abstract

INTRODUCTION: In recent years, a hypothesis has been raised that people with tuberculosis are at risk for developing venous thromboembolism (VTE). However, much remains to be understood about the interplay between VTE and tuberculosis. Therefore, through a global systematic review and meta-analysis, the current study aims at investigating the association between exposure to active tuberculosis and risk of VTE, and determining the prevalence and incidence of VTE in people with active tuberculosis. METHODS AND
DESIGN: We will include cohort studies, case-control and cross-sectional studies performed among adults (>15 years) with active tuberculosis. EMBASE, Medline, Global Index Medicus and Web of Knowledge will be searched for relevant records published until 31 August 2019, without any language restriction. The review will be reported according to the Meta-analysis Of Observational Studies in Epidemiology guidelines. After screening of titles and abstracts, study selection, data extraction and risk of bias assessment; we shall assess the studies individually for clinical and statistical heterogeneity. Random-effect meta-analysis will be used to pool studies judged to be clinically homogenous. The Egger's test and visual inspection of funnel plots will be used to assess publication bias. Results will be presented by country and region. ETHICS AND DISSEMINATION: Since primary data are not collected in this study, ethical approval is not required. This review is expected to provide relevant data on the epidemiology of VTE in people with tuberculosis. The final report will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42019130347. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology; thromboembolism; tuberculosis

Year:  2019        PMID: 31722945      PMCID: PMC6858194          DOI: 10.1136/bmjopen-2019-031402

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This will be the first systematic review summarising data on occurrence of venous thromboembolism in patients having tuberculosis. Rigorous methods and robust statistical analysis will be used to minimise bias and provide accurate data. No language restriction will be applied, hence, allowing to include the maximum number of studies in this review. Limited number of studies on the topic in low/middle-income counties may represent an important shortcoming.

Introduction

Venous thromboembolism (VTE) is the third most common cardiovascular disease worldwide and one of the major contributor to disability-adjusted life years lost.1–3 It usually appears in people having another baseline disease and is most of the time therefore known as a comorbidity.3 VTE which comprised deep venous thrombosis and pulmonary embolism have a global estimated incidence rate between 1 and 2 per 1000 persons/year in the general population.1 The major risk factors of VTE include surgery, pregnancy and postpartum, cancer, oral contraceptive use and prolonged immobilisation.4 Risk factors of VTE are those associated with one of the elements describe by Virshow’s triad: hypercoagulability, vessel wall injury and stasis.5 Recently, the interplay between infections and thrombosis have been raised.3 6 7 The mechanism may be explained by inflammation which may unbalance the coagulation pathways therefore leading to thrombosis.3 Tuberculosis which is one of the most prevalent infectious diseases worldwide, has been described to be associated with high prevalence of VTE in some recent primary studies.6 8 The pathogenesis involved in the development of VTE in patients with tuberculosis (TB) is unclear. However, the Virchow’s triad is thought to be at the core of the pathophysiology.9 Although the high burden of TB and VTE is clearly known, and evidence suggest a plausible association between TB and VTE,6 8 10–12 the relationship between them is still not well understood. Accordingly, we propose this global systematic review and meta-analysis protocol to critically synthesise current evidence on this association. This study will provide evidence-based and useful data that may raise an awareness in healthcare providers, researchers, policymakers and stakeholders for improved detection, overall proper management and efficient control of VTE in the global population with active TB.

Review question

What is the epidemiology of VTE in the global population of people with active tuberculosis?

Objectives

This systematic review and meta-analysis aim at: Determining the incidence and prevalence of VTE in the global population having active TB. Investigating the association between exposure to active TB and risk of VTE.

Methods and design

This systematic review and meta-analysis will be reported in conformity with the Meta-analysis Of Observational Studies in Epidemiology guideline.13 The Preferred Reporting Items for Systematic Review and Meta-Analysis for Protocol (PRISMA-P) was used to report this protocol.14 The PRISMA-P checklist is attached as online supplementary file 1.

Criteria for considering studies for the review

TB cases will be diagnosed on the basis of WHO criteria.15 Pulmonary embolism will be defined as the presence of a thrombus in the pulmonary vessels diagnosed by either CT-pulmonary angiography, MRI, ventilation–perfusion lung scan or autopsy.16 Deep venous thrombosis will be defined as having a thrombosis of the deep venous circulation including limb, pelvic vessels, vena cava or cerebral vein diagnosed by either Doppler echography, venography, MRI or CT-scan. Study where a different definition of VTE would have been used will be retrieved as well and a subgroup analysis will be conducted to assess the effect of the definition used on the overall summary effect. Population: we will include studies with adults (>15 years) having active pulmonary or extrapulmonary drug-susceptible or drug-resistant TB. Outcomes: we will consider studies reporting the prevalence or incidence of VTE, or studies having enough data to compute these estimates, that is, number of cases of VTE with sample size or total persons-time of follow-up. Study design: we will consider cross-sectional and cohort studies. Population: we will consider adults (>15 years) with or without any specific conditions or diseases. Exposure will be defined as having active TB. Comparator will be defined as people with a confirmed absence of active TB. Patients with ‘Confirmed absence of TB’ are those with TB diagnosis negative using the same method of diagnostic as per those with active TB. Outcome should be the presence of any VTE including pulmonary embolism or deep venous thrombosis. We will consider cross-sectional, case–control and cohort studies. For cohort studies, we will consider studies in which both patients with TB (exposed group) and patients without TB (non-exposed group) will be included; and where proportion of patients with VTE was reported in both groups. For case–control studies, we will consider studies in which both patients with VTE (cases) and patients without VTE (control group) will be included; and where proportion of patients with TB was reported in both groups. For cross-sectional studies, data will be considered as reported.

Search strategy for identifying relevant studies

The search strategy will be conducted as follows.

Bibliographic database searches

Relevant records will be identified by searching EMBASE, PubMed, Global Index Medicus and Web of Knowledge from inception to 31 August 2019. Text words and medical subject heading terms related to TB and VTE will be used including: ‘venous thromboembolism’, ‘venous thrombosis’, ‘pulmonary embolism’, ‘deep venous thrombosis’, ‘Tuberculosis’, ‘TB’ and ‘Mycobacterium’. The online supplementary file 2 shows the full search strategy for PubMed that will be adapted to fit with other databases. No language restriction will be applied. For articles published in a language other than English and French, an experienced translator in the concerned language will be contacted for translation.

Searching for other sources

We will scan the references of all relevant articles for additional data sources missed during our search, and their full-texts will be retrieved. References of pertinent reviews will also be scanned.

Selection of studies for inclusion in the review

All references identified after implementation of the searched strategy will be imported inside the Endnote software. All records obtained from various databases will be combined in a single Endnote library, and the duplicates will be removed. Two reviewers (CD and AA) will independently evaluate the studies obtained from the searches, using an assessment form to ensure that the selection criteria are reliably applied. These reviewers will screen the titles and abstracts of papers obtained, after which the full texts of potentially eligible papers will be retrieved by one reviewer (CD). The two reviewers will independently review the full text of each potentially eligible study, compare their results and resolve any discrepancy by discussion. For duplicates, studies published in more than one report, the one reporting the largest sample size will be considered. Studies with inaccessible full text either online or from the corresponding author will be excluded.

Assessment of methodological quality and reporting of data

Methodological quality and risk of bias of included studies will be assessed using the Risk Of Bias In Non-randomised Studies—of Interventions tool for studies that will be included for investigating the association between TB and VTE.17 For studies that will be included for prevalence/incidence, we will use the risk of bias tool developed by Hoy and colleagues.18

Data extraction and management

A data extraction form will be used to collect information on the surname of the first author, year of publication, country where the study was conducted, study design, study area (rural, urban), sampling method, timing of data collection, mean or median age, proportion of males, specific characteristics of the study population, type of treatment regimen, location of the TB infection (extrapulmonary, pulmonary), sample size, total person-time follow-up, number of cases of VTE, ascertainment of active TB and VTE. For multinational studies, the data will be reported for the individual countries. Where it will be impossible to disaggregate data for such studies by country, the available data will be presented as a single study, and the individual countries which participated in the study will be reported. We will exclude studies in which relevant data are impossible to extract even after contacting the corresponding author.

Data synthesis and analysis

For measuring the association between exposure to active tuberculosis and risk for VTE, a meta-analysis using the random-effects method of DerSimonian and Laird will be performed to pool weighted ORs of risk estimates.19 Counter-enhanced funnel plot (if ≥10 studies) and Harbord test (if ≥3 studies) will be done to assess the presence of publication bias.20 ORs will be reported with their 95% CIs, and 95% prediction intervals. For prevalence/incidence synthesis, unadjusted prevalence and incidence with their standard errors for each study will be recalculated based on the information of crude numerators and denominators provided by individual studies. The variance of the study-specific prevalence will be stabilised with the Freeman-Tukey double arc-sine transformation,21 before pooling the data using a random-effects meta-analysis model. All pooled estimate will be reported with their 95% CI and 95% prediction interval. Heterogeneity will be assessed using the χ² test on Cochran’s Q statistic, and quantified by calculating I².22 Values of 25%, 50% and 75% for I² will, respectively, represent low, medium and high heterogeneity. We will assess the presence of publication bias using funnel plots inspection (if ≥10 studies) and the Egger’s test (if ≥3 studies).23 When they will be enough data, meta-regression and subgroup analyses will be performed to investigate the possible sources of heterogeneity using the aforementioned variables and the study quality. We plan to do a subgroup analysis according to: population type, location of tuberculosis (pulmonary or extrapulmonary), WHO region, income level of the countries where the study was conducted (high, middle and low-incomes countries) and the definition used to diagnose VTE. In case of substantial clinical heterogeneity, a narrative summary of findings will be done. The inter-rater agreement for study inclusion between investigators will be assessed using Cohen’s κ coefficient.24 Data analyses will be done using the ‘meta’ package of the statistical software R V.3.5.1.

Presentation and reporting of results

The study selection process will be summarised using a flow diagram. Quantitative data will be presented in tables of individual studies, and in summary tables, and forest plots where appropriate. The quality scores and risk of bias for each eligible study will be reported accordingly.

Patient and public involvement

Patients and the public were not involved in the design or planning of the study.

Potential amendments

We do not plan to modify the protocol to avoid reporting bias. However, if necessary, any amendment in the review process will be reported for transparency.

Ethics and dissemination

Since primary data are not collected in this study, ethical approval is not required. This review is expected to provide accurate data on the occurrence of VTE in patients having tuberculosis. The final report will be published in a peer-reviewed journal.

Review status

Preliminary searches.
  21 in total

1.  Assessing risk of bias in prevalence studies: modification of an existing tool and evidence of interrater agreement.

Authors:  Damian Hoy; Peter Brooks; Anthony Woolf; Fiona Blyth; Lyn March; Chris Bain; Peter Baker; Emma Smith; Rachelle Buchbinder
Journal:  J Clin Epidemiol       Date:  2012-06-27       Impact factor: 6.437

Review 2.  Chronic Infection and Venous Thromboembolic Disease.

Authors:  Olivier Epaulard; Alison Foote; Jean-Luc Bosson
Journal:  Semin Thromb Hemost       Date:  2015-08-27       Impact factor: 4.180

3.  A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints.

Authors:  Roger M Harbord; Matthias Egger; Jonathan A C Sterne
Journal:  Stat Med       Date:  2006-10-30       Impact factor: 2.373

4.  Bias in meta-analysis detected by a simple, graphical test.

Authors:  M Egger; G Davey Smith; M Schneider; C Minder
Journal:  BMJ       Date:  1997-09-13

Review 5.  Epidemiology of venous thromboembolism.

Authors:  John A Heit
Journal:  Nat Rev Cardiol       Date:  2015-06-16       Impact factor: 32.419

6.  Active tuberculosis and venous thromboembolism: association according to international classification of diseases, ninth revision hospital discharge diagnosis codes.

Authors:  Charlotte Dentan; Olivier Epaulard; Damien Seynaeve; Céline Genty; Jean-Luc Bosson
Journal:  Clin Infect Dis       Date:  2013-11-26       Impact factor: 9.079

7.  Meta-analysis in clinical trials revisited.

Authors:  Rebecca DerSimonian; Nan Laird
Journal:  Contemp Clin Trials       Date:  2015-09-04       Impact factor: 2.226

8.  Venous thrombotic events in patients admitted to a tuberculosis centre.

Authors:  J F Borjas-Howard; W F W Bierman; K Meijer; T S van der Werf; Y I G V Tichelaar
Journal:  QJM       Date:  2017-04-01

9.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement.

Authors:  David Moher; Larissa Shamseer; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  Syst Rev       Date:  2015-01-01

10.  Interrater reliability: the kappa statistic.

Authors:  Mary L McHugh
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

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