Authors: Samuels, Joel; Sood, Aashna; Khan, Faiz; Johnston, James. Sponsor: Michael Smith Foundation for Health Research

Similar documents
Title: Meta-analysis of Individual patient Data (IPD) of Patients with INH (mono or poly-drug) Resistant Tuberculosis.

Evidence review for Intermittent therapy for drug-susceptible TB: Questions addressed: intermittent therapy

MINDFULNESS-BASED INTERVENTIONS IN EPILEPSY

Information Note. WHO call for patient data on the treatment of multidrug- and rifampicin resistant tuberculosis

Systematic reviews and meta-analyses of observational studies (MOOSE): Checklist.

Short Course Treatment for MDR TB

Assessing the programmatic management of drug-resistant TB

Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library)

Annex 2. GRADE glossary and summary of evidence tables

The QUOROM Statement: revised recommendations for improving the quality of reports of systematic reviews

A Systematic Review and Meta-Analysis of Pre-Transfusion Hemoglobin Thresholds for Allogeneic Red Blood Cell Transfusions

PROSPERO International prospective register of systematic reviews

PROSPERO International prospective register of systematic reviews

Workshop: Cochrane Rehabilitation 05th May Trusted evidence. Informed decisions. Better health.

Zhengtao Liu 1,2,3*, Shuping Que 4*, Lin Zhou 1,2,3 Author affiliation:

Certainty assessment of patients Effect Certainty Importance. a standardised 9 month shorter MDR-TB regimen. e f

Component of CPG development ILAE Recommendation Document Identifying topic and developing clinical. S3 research question

SUPPLEMENTARY DATA. Supplementary Figure S1. Search terms*

Effectiveness of the WHO regimen for treatment of multidrug resistant tuberculosis (MDR-TB)

Acupuncture combined with herbal medicine versus herbal medicine alone for plaque psoriasis: a systematic review protocol

Supplementary Appendix

The risk of a bleed after delayed head injury presentation to the ED: systematic review protocol. Correspondence to:

Systematic Review & Course outline. Lecture (20%) Class discussion & tutorial (30%)

Ramesh P. M.*, Saravanan M.

Prognostic factors for surgical resection in patients with multidrug-resistant tuberculosis

Results. NeuRA Worldwide incidence April 2016

Analysis of treatment outcome in multi-drug resistant tuberculosis patients treated under programmatic conditions

surgery: A systematic review and meta-analysis protocol

PROSPERO International prospective register of systematic reviews

Cronicon EC BACTERIOLOGY AND VIROLOGY RESEARCH. Research Article Multidrug Resistant Tuberculosis Cure Predictors

DM and TB Double Burden. Anil Kapur

Problem solving therapy

Results. NeuRA Hypnosis June 2016

Learning from Systematic Review and Meta analysis

Effectiveness of a Government-Organized and Hospital- Initiated Treatment for Multidrug-Resistant Tuberculosis Patients-A Retrospective Cohort Study

Cochrane Breast Cancer Group

New Frontiers: Innovation and Access

Traumatic brain injury

Study of Multi-Drug Resistance Associated with Anti-Tuberculosis Treatment by DOT Implementation Strategy in Pakistan

Results. NeuRA Treatments for dual diagnosis August 2016

Results. NeuRA Family relationships May 2017

Title: Cutaneous Adverse Drug Reactions in Indian population: A systematic review

Results. NeuRA Treatments for internalised stigma December 2017

Title: What is the role of pre-operative PET/PET-CT in the management of patients with

Background: Traditional rehabilitation after total joint replacement aims to improve the muscle strength of lower limbs,

Bridging anticoagulant therapy early after mechanical heart. valve surgery: systematic review with meta-analysis.

Downloaded from:

Definitions and reporting framework for tuberculosis 2013 revision. Dennis Falzon Global Forum of Xpert MTB/RIF Implementers Annecy 17 April 2013

PROSPERO International prospective register of systematic reviews

Systematic Reviews and Meta- Analysis in Kidney Transplantation

Assessing Tuberculosis Case Fatality Ratio: A Meta- Analysis

Principles and Structure of a Research Protocol. Anthony D Harries The Union, Paris, France MSF, Brussels, Belgium

Protocol. Investigators. Marriott Nliwasa. Ankur Gupta-Wright. Peter MacPherson. Liz Corbett. Katherine Hurton. April 2015

The shorter regimen for MDR-TB: evidence and pitfalls

Indicators for MDR-TB detection and outcomes

TITLE: Montelukast for Sleep Apnea: A Review of the Clinical Effectiveness, Cost Effectiveness, and Guidelines

HPV VACCINATION UPTAKE IN CANADA: A SYSTEMATIC REVIEW AND META ANALYSIS. Olatunji Obidiya (PhD Student) University of Saskatchewan

PROSPERO International prospective register of systematic reviews

Clinical and Public Health Impact of Nucleic Acid Amplification Tests (NAATs) for Tuberculosis

Predicting outcomes and drug resistance with standardised treatment of active tuberculosis

Animal-assisted therapy

Systematic Review of RCTs of Haemophilus influenzae Type b Conjugate Vaccines: Efficacy and immunogenicity

Results. NeuRA Motor dysfunction April 2016

Global epidemiology of drug-resistant tuberculosis. Factors contributing to the epidemic of MDR/XDR-TB. CHIANG Chen-Yuan MD, MPH, DrPhilos

Results. NeuRA Forensic settings April 2016

PROSPERO International prospective register of systematic reviews

Standards for the reporting of new Cochrane Intervention Reviews

Fixed Effect Combining

PROSPERO International prospective register of systematic reviews

What is the recommended shorter treatment regimen for MDR-TB?

Treatment of INH Resistant-TB An aggregate data, and an Individual Patient Data (IPD) meta-analyses

Results. NeuRA Mindfulness and acceptance therapies August 2018

CADTH Therapeutic Review

The Meta on Meta-Analysis. Presented by Endia J. Lindo, Ph.D. University of North Texas

TITLE: Acetylsalicylic Acid for Venous Thromboembolism Prophylaxis: A Review of Clinical Evidence, Benefits and Harms

Quality of meta-analyses and why they sometimes lead to different conclusions

J of Evolution of Med and Dent Sci/ eissn , pissn / Vol. 4/ Issue 80/ Oct. 05, 2015 Page 14013

Meta-analysis: Methodology

PROSPERO International prospective register of systematic reviews

Elizabeth A. Talbot MD Assoc Professor, ID and Int l Health Deputy State Epidemiologist, NH GEISELMED.DARTMOUTH.EDU GEISELMED.DARTMOUTH.

Globally, it is well documented that certain

The Clinical Characteristics and Predictors of Treatment Success of Pulmonary Tuberculosis in Homeless Persons at a Public Hospital in Busan

Page: 1 / 5 Produced by the Centre for Reviews and Dissemination Copyright 2018 University of York

2016 Annual Tuberculosis Report For Fresno County

PROSPERO International prospective register of systematic reviews

MDR, XDR and Untreatable Tuberculosis and Laboratory Perspectives. Martie van der Walt TUBERCULOSIS EPIDEMIOLOGY & INTERVENTION RESEARCH UNIT

Effective Health Care Program

Z-drugs and risk of falls and fractures: A systematic review and metaanalysis

Meta-Analyses: Considerations for Probiotics & Prebiotics Studies

SYSTEMATIC REVIEW: AN APPROACH FOR TRANSPARENT RESEARCH SYNTHESIS

Supplementary Online Content

Predictors of poor treatment outcome in multi- and extensively drug-resistant pulmonary TB

Study of treatment outcome of tuberculosis among HIV co-infected patients: a cross sectional study in Aurangabad city, Maharashtra

Distraction techniques

Robotic Bariatric Surgery. Richdeep S. Gill, MD Research Fellow Center for the Advancement of Minimally Invasive Surgery (CAMIS)

Deep vein thrombosis and its prevention in critically ill adults Attia J, Ray J G, Cook D J, Douketis J, Ginsberg J S, Geerts W H

PROSPERO International prospective register of systematic reviews

PROSPERO International prospective register of systematic reviews

Supplementary Online Content

Upcoming TB Alliance Studies. CPRT DST Review September, 2014

Transcription:

Title: Treatment Outcomes of Multidrug-Resistant Tuberculosis: A Systematic Review and Meta-Analysis-An update Registration: To be registered in Prospero Authors: Samuels, Joel; Sood, Aashna; Khan, Faiz; Johnston, James Sponsor: Michael Smith Foundation for Health Research Introduction: Rationale: One of the major threats to global tuberculosis (TB) control is the emergence of Multidrug resistant TB (MDRTB)(1)(2)(3). MDRTB is defined as resistance to at least rifampin and isoniazid(1,3,4). Extensively drug resistant TB (XDRTB) is defined as resistance to rifampin, isoniazid, a fluoroquinolone and at least one of the injectable second line agents(2,3,5). Both of these forms of drug resistant TB have been associated with worse clinical outcomes(3). Currently it is known that numerous comorbidities including HIV, Diabetes, Chronic kidney disease, and alcoholism amongst others negatively affect outcomes such as treatment success and completion in drug sensitive tuberculosis(3,6 9), but little is known about the outcomes related to these co-morbidities in MDRTB. Goal: To examine the influence of co-morbidities on MDR-TB treatment outcomes. To reach this goal, we will perform a systematic review of the published, peer-reviewed literature that reports an association between specific co-morbidities and MDRTB treatment outcomes. Specific objective: We plan to examine the association between co-morbidities including diabetes (DM), HIV, smoking, end-stage kidney disease (ESKD) and alcohol abuse on the treatment outcomes in MDRTB therapy. If appropriate, we will perform a meta-analysis to estimate a pooled effect estimate of each comorbid condition on specific treatment outcomes in MDRTB. Effect estimates will be pooled overall, and also stratified by key study characteristics, including type of MDRTB treatment regimen. Our primary objective is to compare the rate of the composite negative outcomes and the rate of positive outcomes when comparing patients with and without the previously stated comorbidities in a population with MDRTB. A positive outcome is defined as the composite or treatment success and completion and a negative outcome is the composite of death/default/transfer-out/unavailable date/relapse/failure. These definitions of outcomes are defined in (1,4). Our secondary objective is to look into the effect of specific comorbidities on the specific sub-outcomes such as death, relapse, failure as opposed to the composite negative outcome. The caveat is that this will only be done if the data available allows for us to calculate this reliably. Methods:

Eligibility Criteria: Our inclusion criteria include studies that report treatment outcomes in at least 50 patients with microbiologically confirmed MDRTB and/or XDRTB between January 1, 1980 and June 1, 2016. Eligible studies include case-control, retrospective cohort, prospective cohort or randomized control trials. Studies reported in the peer-reviewed literature in English, French, and Spanish will be included. Exclusion criteria include studies with exclusive surgical/non-medical therapy, or exclusive use of standard first line therapy. Studies that do not report information required for calculation of an effect estimate (with confidence interval) for at least one of the comorbidities of interest will be excluded. Quality criteria: We will only include studies with consecutive enrollment. We will exclude patients with >30% loss-to-follow-up, default, or with treatment outcomes otherwise unaccounted for from the final pooled analysis. Study quality will be assessed with the appropriate standardized quality reporting tools (e.g. Newcastle-Ottawa scale for cohort studies etc.) Information sources: We will search MEDLINE, EMBASE, Cochrane Central Registrar of Controlled Trials and Cochrane Database of Systematic Reviews from January 1, 1980 to June 1, 2016. We will also search previous systematic reviews on MDRTB treatment outcomes(3,5,10) and search the bibliographies of papers chosen for full text review for additional references. Finally, we will search for and include relevant articles from the International Journal of Tuberculosis and Lung disease for relevant papers not detected by the above strategies. Search Strategy: We will conduct the following searches for each of the listed databases. MEDLINE via OVID SP 1. Exp Tuberculosis, Multidrug-Resistant/ 2. MDRTB.mp. 3. MDR TB.mp. 4. MDR-TB.mp. 5. MDR Tuberculosis.mp. 6. Multi*drug resistan* TB.mp. 7. Multi*drug resistan* Tuberculosis.mp. 8. (tuberculosis adj5 multi* drug resistan*).mp. 9. (tuberculosis adj5 MDR).mp. 10. (TB adj10 MDR).mp. 11. (TB adj10 multi* drug resistan*).mp. 12. extensive* drug resistan* tuberculosis.mp. 13. extensive* drug resistan* TB.mp.

14. XDR Tuberculosis.mp. 15. XDR TB.mp. 16. XDR-TB.mp. 17. XDRTB.mp. 18. (tuberculosis adj10 extensive* drug resistan*).mp. 19. (tuberculosis adj10 XDR).mp. 20. (TB adj10 XDR).mp. 21. (TB adj10 extensive* drug resistan*).mp. 22. exp Extensively Drug-Resistant Tuberculosis/ 23. exp Treatment Outcome/ 24. outcom*.mp. 25. 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17 or 18 or 19 or 20 or 21 or 22 26. 23 or 24 27. 25 AND 26 28. limit 27 to English, French or Spanish language, Humans and 1980-2016 EMBASE via OVID SP 1. exp multidrug resistant Tuberculosis/ 2. MDRTB.mp. 3. MDR TB.mp. 4. MDR-TB.mp. 5. Multi*drug resistan* TB.mp. 6. Multi*drug resistan* Tuberculosis.mp. 7. MDR Tuberculosis.mp. 8. (tuberculosis adj10 MDR).mp. 9. (tuberculosis adj10 multi* drug resistan*).mp. 10. (TB adj10 MDR).mp. 11. (TB adj10 multi* drug resistan*).mp. 12. exp extensively drug resistant tuberculosis/ 13. extensive* drug resistan* TB.mp. 14. extensive* drug resistan* Tuberculosis.mp. 15. XDR Tuberculosis.mp. 16. XDRTB.mp. 17. XDR TB.mp. 18. XDR-TB.mp. 19. (tuberculosis adj10 extensive* drug resistan*).mp. 20. (tuberculosis adj10 XDR).mp. 21. (TB adj10 extensive* drug resistan*).mp. 22. (TB adj10 XDR).mp. 23. exp Treatment outcome/ 24. outcom*.mp. 25. 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17 or 18 or 19 or 20 or 21 or 22

26. 23 or 24 27. 25 AND 26 28. Limit 27 to English, French or Spanish language, Humans and 1980-2016 Cochrane Database of Systematic reviews via OVID 1. Multi*drug resistan* tuberculosis.mp. 2. Extensive* drug resistan* tuberculosis.mp. 3. XDR-TB.mp. 4. XDR TB.mp. 5. MDR TB.mp. 6. MDR-TB.mp. 7. (tuberculosis adj10 MDR).mp. 8. (tuberculosis adj10 multi* drug resistan*).mp. 9. (TB adj10 multi* drug resistan*).mp. 10. (TB adj10 MDR).mp. 11. (tuberculosis adj10 XDR).mp. 12. (tuberculosis adj10 extensive* drug resistan*).mp. 13. (TB adj10 XDR).mp. 14. (TB adj10 extensive* drug resistan*).mp. 15. 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10 or 11 or 12 or 13 or 14 Cochrane Central Register of Controlled Trials via OVID 1. exp Tuberculosis, Multidrug-Resistant/ 2. exp Extensively Drug-Resistant Tuberculosis/ 3. extensive* drug resistan* Tuberculosis.mp. 4. extensive* drug resistan* TB.mp. 5. XDRTB.mp. 6. XDR-TB.mp. 7. XDR TB.mp. 8. XDR Tuberculosis.mp. 9. MDRTB.mp. 10. MDR-TB.mp. 11. MDR TB.mp. 12. MDR Tuberculosis.mp. 13. Multi*drug resistan* Tuberculosis.mp. 14. Multi*drug resistan* TB.mp. 15. (tuberculosis adj10 extensive* drug resistan*).mp. 16. (tuberculosis adj10 XDR).mp. 17. (tuberculosis adj10 MDR).mp. 18. (tuberculosis adj10 multi* drug resistan*).mp. 19. (TB adj10 XDR).mp. 20. (TB adj10 extensive* drug resistan*).mp. 21. (TB adj10 multi* drug resistan*).mp. 22. (TB adj10 MDR).mp.

23. 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17 or 18 or 19 or 20 or 21 or 22 24. Limit 19 to English, French or Spanish Languages and 1980-2016 Selection Process: The above search strategy has been verified with one of our institutions medical librarians, and has been reviewed by two authors with systematic review experience (FAK/JCJ). Two authors will carry out the search strategy in parallel (JS/AS). Discrepancies will be resolved by a third author (JCJ). 1. We will review all titles and non-relevant publications will be excluded (and reasons for exclusion recorded). 2. We will review abstracts and non-relevant publications will be excluded (and reasons for exclusion recorded). 3. We will identify and review all full text articles identified by both reviewers. 4. The bibliographies of all full text articles and prior systematic reviews on MDRTB treatment will be reviewed for further full text articles. 5. Full text articles will be assessed according to the above mentioned exclusion and inclusion criteria. This process will be documented on a flow sheet. Data Collection: A data sheet has been created and piloted prior to the initiation of our study. It will collect data on the following: First author, publication date Funding source Study country(ies) Study dates Study design (prospective cohort, retrospective cohort, RCT, case control, case series) Duration of study Median/mean length of follow up post-treatment Number of subjects Number/proportion of subjects with smear positivity Number/proportion of subjects with cavitary disease Number/proportion of subjects with pulmonary/extrapulmonary disseminated/meningeal disease Number/proportion of patients with XDRTB Number/proportion of patients with surgical therapy/prior first line therapy/standardized vs individualized therapy Number/proportion of subjects with cure/treatment completion/failure/relapse/death/transfer out/default/data not recorded Number/proportion of subjects with DM, HIV, smoking, ESRD, Alcoholism Number/proportion of subjects with treatment outcomes reported for the above comorbidities

Effect estimate (with confidence intervals) of the association of each identified comorbidity with each treatment outcomes as defined in (1,4); plus details on the effect estimate (type, eg. Odds vs Risk vs Hazard; adjusted vs crude; variables adjusted for). The outcomes will be recorded in terms of end of treatment and end of follow up outcomes. Data Analysis: For each predefined comorbidity we will plot our effect estimates with confidence interval of the composite negative outcome onto a Forrest plot and combine the data via a Random effects model which assumes within and between study variability. Heterogeneity will be tested with the I-squared test. Lastly an assessment of publication bias will be done through a funnel plot and performing a Begg s/egger s test. Additionally, we will look at outcomes in this manner as defined in the introduction in terms of end of treatment outcomes as well as end of followup outcomes. We will perform a pooled analysis of end of follow up outcomes from studies that have less than 30% default/transfer-out/unavailable data/loss to follow-up. We are primarily concerned with the difference in the composite negative outcome but if the data allows we will examine the rate of specific sub-outcomes (i.e difference in rate of failure, death, relapse in those with specific comorbidities in addition to the composite outcome). For each study we will document associated factors such as smear positivity, cavitary disease, pulmonary vs nonpulmonary disease, but will likely not be able to stratify outcomes based on the data since the information would likely not be complete enough in the studies. Reporting: The final report will conform to the recommendations set out by the PRISMA-IPD checklist(11). Reasons for inclusion and exclusion of studies will be clearly detailed in a flow chart. Characteristics and details of included studies will be tabulated, assessment of study quality will be shown, methods will be clearly presented and results will be detailed. Pooled outcomes will be presented in forest plots with relevant outcomes and statistics clearly shown. Funnel plots will also be reported along with statistics for publication bias (Beggs/Eggers tests). References: 1. Guidelines for the programmatic management of drug-resistant tuberculosis: Emergency update 2008.pdf [Internet]. [cited 2016 May 20]. Available from: http://apps.who.int/iris/bitstream/10665/43965/1/9789241547581_eng.pdf 2. The Global MDR-TB & XDR-TB Response Plan 2007-2008.pdf [Internet]. [cited 2016 May 20]. Available from: http://www.who.int/tb/publications/2007/global_response_plan.pdf 3. Johnston JC, Shahidi NC, Sadatsafavi M, Fitzgerald JM. Treatment Outcomes of Multidrug- Resistant Tuberculosis: A Systematic Review and Meta-Analysis. PLOS ONE. 2009 Sep 9;4(9):e6914.

4. Laserson KF, Thorpe LE, Leimane V, Weyer K, Mitnick CD, Riekstina V, et al. Speaking the same language: treatment outcome definitions for multidrug-resistant tuberculosis. Int J Tuberc Lung Dis Off J Int Union Tuberc Lung Dis. 2005 Jun;9(6):640 5. 5. M.l B, H H, K W, L G-G, J.m P, K S, et al. Treatment outcomes of patients with multidrugresistant and extensively drug-resistant tuberculosis according to drug susceptibility testing to first- and second-line drugs: An individual patient data meta-analysis. Clin Infect Dis. 2014 Nov; 6. Baker MA, Harries AD, Jeon CY, Hart JE, Kapur A, Lönnroth K, et al. The impact of diabetes on tuberculosis treatment outcomes: a systematic review. BMC Med. 2011;9:81. 7. Khan FA, Minion J, Pai M, Royce S, Burman W, Harries AD, et al. Treatment of active tuberculosis in HIV-coinfected patients: a systematic review and meta-analysis. Clin Infect Dis Off Publ Infect Dis Soc Am. 2010 May 1;50(9):1288 99. 8. Gómez-Gómez A, Magaña-Aquino M, López-Meza S, Aranda-Álvarez M, Díaz-Ornelas DE, Hernández-Segura MG, et al. Diabetes and Other Risk Factors for Multi-drug Resistant Tuberculosis in a Mexican Population with Pulmonary Tuberculosis: Case Control Study. Arch Med Res. 2015 Feb;46(2):142 8. 9. Kwak N, Kim H-R, Yoo C-G, Kim YW, Han SK, Yim J-J. Changes in treatment outcomes of multidrug-resistant tuberculosis. Int J Tuberc Lung Dis Off J Int Union Tuberc Lung Dis. 2015 May;19(5):525 30. 10. P W, W C, V.j C, J.c J. Treatment outcomes from community-based drug resistant tuberculosis treatment programs: A systematic review and meta-analysis. BMC Infect Dis. 2014 Jun; 11. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.