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Dive into the research topics where Helen R. Stagg is active.

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Featured researches published by Helen R. Stagg.


Annals of Internal Medicine | 2014

Treatment of Latent Tuberculosis Infection: A Network Meta-analysis

Helen R. Stagg; Dominik Zenner; Ross Harris; Laura Muñoz; Marc Lipman; Ibrahim Abubakar

BACKGROUND Effective treatment of latent tuberculosis infection (LTBI) is an important component of TB elimination programs. Promising new regimens that may be more effective are being introduced. Because few regimens can be directly compared, network meta-analyses, which allow indirect comparisons to be made, strengthen conclusions. PURPOSE To determine the most efficacious regimen for preventing active TB with the lowest likelihood of adverse events to inform LTBI treatment policies. DATA SOURCES PubMed, EMBASE, and Web of Science up to 29 January 2014; clinical trial registries; and conference abstracts. STUDY SELECTION Randomized, controlled trials that evaluated LTBI treatment in humans and recorded at least 1 of 2 prespecified end points (preventing active TB or hepatotoxicity), without language or date restrictions. DATA EXTRACTION Data from eligible studies were independently extracted by 2 investigators according to a standard protocol. DATA SYNTHESIS Of the 1516 articles identified, 53 studies met the inclusion criteria. Data on 15 regimens were available; of 105 possible comparisons, 42 (40%) were compared directly. Compared with placebo, isoniazid for 6 months (odds ratio [OR], 0.64 [95% credible interval {CrI}, 0.48 to 0.83]) or 12 months or longer (OR, 0.52 [CrI, 0.41 to 0.66]), rifampicin for 3 to 4 months (OR, 0.41 [CrI, 0.18 to 0.86]), and rifampicin-isoniazid regimens for 3 to 4 months (OR, 0.52 [CrI, 0.34 to 0.79]) were efficacious within the network. LIMITATIONS The risk of bias was unclear for many studies across various domains. Evidence was sparse for some comparisons, particularly hepatotoxicity. CONCLUSION Comparison of different LTBI treatment regimens showed that various therapies containing rifamycins for 3 months or more were efficacious at preventing active TB, potentially more so than isoniazid alone. Regimens containing rifamycins may be effective alternatives to isoniazid monotherapy. PRIMARY FUNDING SOURCE None.


International Journal of Tuberculosis and Lung Disease | 2013

Active case finding for tuberculosis among high-risk groups in low-incidence countries.

D Zenner; Jo Southern; R. van Hest; G. deVries; Helen R. Stagg; Delphine Antoine; Ibrahim Abubakar

In low-incidence countries, tuberculosis (TB) is now largely concentrated in high-risk groups such as migrants, homeless people, illicit drug users, alcoholics and prisoners. This has led to increased efforts to implement targeted active case finding for TB among specific populations. This review examines the evidence supporting active case finding in migrants and social risk groups, as well as the cost-effectiveness of interventions. While data from observational studies support active case finding in defined high-risk groups, further research to determine the effectiveness of specific tools and the cost-effectiveness of screening strategies is needed to inform evidence-based control methods in low-incidence countries. Inevitably, addressing TB in low-incidence countries will depend on effective disease control in high-burden countries.


BMC Medicine | 2016

Interpreting whole genome sequencing for investigating tuberculosis transmission: a systematic review

Hollie-Ann Hatherell; Caroline Colijn; Helen R. Stagg; Charlotte Jackson; Joanne R. Winter; Ibrahim Abubakar

BackgroundWhole genome sequencing (WGS) is becoming an important part of epidemiological investigations of infectious diseases due to greater resolution and cost reductions compared to traditional typing approaches. Many public health and clinical teams will increasingly use WGS to investigate clusters of potential pathogen transmission, making it crucial to understand the benefits and assumptions of the analytical methods for investigating the data. We aimed to understand how different approaches affect inferences of transmission dynamics and outline limitations of the methods.MethodsWe comprehensively searched electronic databases for studies that presented methods used to interpret WGS data for investigating tuberculosis (TB) transmission. Two authors independently selected studies for inclusion and extracted data. Due to considerable methodological heterogeneity between studies, we present summary data with accompanying narrative synthesis rather than pooled analyses.ResultsTwenty-five studies met our inclusion criteria. Despite the range of interpretation tools, the usefulness of WGS data in understanding TB transmission often depends on the amount of genetic diversity in the setting. Where diversity is small, distinguishing re-infections from relapses may be impossible; interpretation may be aided by the use of epidemiological data, examining minor variants and deep sequencing. Conversely, when within-host diversity is large, due to genetic hitchhiking or co-infection of two dissimilar strains, it is critical to understand how it arose. Greater understanding of microevolution and mixed infection will enhance interpretation of WGS data.ConclusionsAs sequencing studies have sampled more intensely and integrated multiple sources of information, the understanding of TB transmission and diversity has grown, but there is still much to be learnt about the origins of diversity that will affect inferences from these data. Public health teams and researchers should combine epidemiological, clinical and WGS data to strengthen investigations of transmission.


Thorax | 2013

How should I interpret an interferon gamma release assay result for tuberculosis infection

Ibrahim Abubakar; Helen R. Stagg; Hilary Whitworth; Ajit Lalvani

Background Interferon gamma release assays (IGRAs) are the first new diagnostic tests for latent tuberculosis (TB) infection (LTBI) since the century-old tuberculin skin test (TST). They are cell-mediated immune-based blood tests that have revolutionised LTBI diagnosis and are increasingly recommended by national guidelines. Objectives With the rapid expansion of the IGRA evidence-base in recent years, the limitations of IGRA and uncertainties in clinical interpretation of IGRA results have increasingly come into focus. In LTBI diagnosis these include: prognostic power of IGRAs relative to TST for quantifying risk of progression to active disease, false-negative rates in immunocompromised patients, the clinical meaning of IGRA reversion and the significance of the size of IGRA response. Furthermore, the role of IGRAs in the diagnostic work-up of active TB is unclear, and there is little evidence supporting use of the tests in anti-TB treatment monitoring. Methodological approach On-going large prospective longitudinal clinical endpoint cohort studies of active and latent TB will tackle some of the uncertainties regarding IGRAs. Here we discuss clinical practice and guidance in light of the current uncertainties, based on existing evidence. Conclusions and impact Current and planned clinical research will fill the gaps in the evidence-base, narrowing the areas of uncertainty and informing future policy. Translational research into next-generation IGRAs and new T cell-based diagnostic platforms will likely overcome the limitations of current IGRAs in the near future.


Annals of Internal Medicine | 2017

Treatment of Latent Tuberculosis Infection: An Updated Network Meta-analysis

Dominik Zenner; Netta Beer; Ross Harris; Marc Lipman; Helen R. Stagg; Marieke J. van der Werf

Background Treatment of latent tuberculosis infection (LTBI) is an important component of tuberculosis (TB) control, and this study updates a previous network meta-analysis of the best LTBI treatment options to inform public health action and programmatic management of LTBI. Purpose To evaluate the comparative efficacy and harms of LTBI treatment regimens aimed at preventing active TB among adults and children. Data Sources PubMed, Embase, and Web of Science from indexing to 8 May 2017; clinical trial registries; and conference abstracts. No language restrictions were applied. Study Selection Randomized controlled trials that evaluated human LTBI treatments and recorded at least 1 of 2 prespecified end points (hepatotoxicity and prevention of active TB). Data Extraction 2 investigators independently extracted data from eligible studies and assessed study quality according to a standard protocol. Data Synthesis The network meta-analysis of 8 new and 53 previously included studies showed that isoniazid regimens of 6 months (odds ratio [OR], 0.65 [95% credible interval {CrI}, 0.50 to 0.83]) or 12 to 72 months (OR, 0.50 [CrI, 0.41 to 0.62]), rifampicin-only regimens (OR, 0.41 [CrI, 0.19 to 0.85]), rifampicin-isoniazid regimens of 3 to 4 months (OR, 0.53 [CrI, 0.36 to 0.78]), rifampicin-isoniazid-pyrazinamide regimens (OR, 0.35 [CrI, 0.19 to 0.61]), and rifampicin-pyrazinamide regimens (OR, 0.53 [CrI, 0.33 to 0.84]) were efficacious compared with placebo. Evidence existed for efficacy of weekly rifapentine-isoniazid regimens compared with no treatment (OR, 0.36 [CrI, 0.18 to 0.73]). No conclusive evidence showed that HIV status altered treatment efficacy. Limitation Evidence was sparse for many comparisons and hepatotoxicity outcomes, and risk of bias was high or unknown for many studies. Conclusion Evidence exists for the efficacy and safety of 6-month isoniazid monotherapy, rifampicin monotherapy, and combination therapies with 3 to 4 months of isoniazid and rifampicin. Primary Funding Source U.K. National Institute for Health Research. (PROSPERO: CRD42016037871).


International Journal of Tuberculosis and Lung Disease | 2017

Isoniazid resistant tuberculosis: a cause for concern?

Helen R. Stagg; M Lipman; T. D. McHugh; Helen E. Jenkins

The drug isoniazid (INH) is a key component of global tuberculosis (TB) control programmes. It is estimated, however, that 16.1% of TB disease cases in the former Soviet Union countries and 7.5% of cases outside of these settings have non-multidrug-resistant (MDR) INH resistance. Resistance has been linked to poorer treatment outcomes, post-treatment relapse and death, at least for specific sites of disease. Multiple genetic loci are associated with phenotypic resistance; however, the relationship between genotype and phenotype is complex, and restricts the use of rapid sequencing techniques as part of the diagnostic process to determine the most appropriate treatment regimens for patients. The burden of resistance also influences the usefulness of INH preventive therapy. Despite seven decades of INH use, our knowledge in key areas such as the epidemiology of resistant strains, their clinical consequences, whether tailored treatment regimens are required and the role of INH resistance in fuelling the MDR-TB epidemic is limited. The importance of non-MDR INH resistance needs to be re-evaluated both globally and by national TB control programmes.


Thorax | 2013

Migration and tuberculosis in the UK: targeting screening for latent infection to those at greatest risk of disease

Michelle E. Kruijshaar; Ibrahim Abubakar; Helen R. Stagg; Debora Pedrazzoli; Marc Lipman

Active tuberculosis (TB) in the UK predominantly affects the non-UK born, but is generally not manifest at the time of UK entry. Strategies to detect latent TB infection (LTBI) in this population are, therefore, important. To date, targeted screening has focused on TB risk estimates based on the incidence in the country of origin. Using TB incidence in the UK and migration data, we estimated the numbers needed to be tested and treated for LTBI to prevent one case of TB disease. Numbers were the lowest in Somalian and the highest in South African and Filipino migrants, which contrasts with TB rates in these countries. Targeting screening on the basis of incidence in the UK may thus improve effectiveness.


Emerging Infectious Diseases | 2016

Decreased Time to Treatment Initiation for Multidrug-Resistant Tuberculosis Patients after Use of Xpert MTB/RIF Test, Latvia

Helen R. Stagg; Peter J. White; Riekstiņa; Cīrule A; Šķenders Ģ; Leimane; Kuksa L; Dravniece G; James Brown; Charlotte Jackson

This test decreased time to treatment initiation by 66%–84%.


PLOS ONE | 2015

Peer Support Workers in Health: A Qualitative Metasynthesis of Their Experiences.

Jennifer MacLellan; Julian Surey; Ibrahim Abubakar; Helen R. Stagg

Objective Peer support models, where an individual has a specific illness or lifestyle experience and supports others experiencing similar challenges, have frequently been used in different fields of healthcare to successfully engage hard-to-reach groups. Despite recognition of their value, the impact of these roles on the peer has not been systematically assessed. By synthesising the qualitative literature we sought to review such an impact, providing a foundation for designing future clinical peer models. Methods Systematic review and qualitative metasynthesis of studies found in Medline, CINAHL or Scopus documenting peer worker experiences. Results 1,528 papers were found, with 34 meeting the criteria of this study. Findings were synthesised to reveal core constructs of reframing identity through reciprocal relations and the therapeutic use of self, enhancing responsibility. Conclusions The ability of the Peer Support Worker to actively engage with other marginalised or excluded individuals based on their unique insight into their own experience supports a therapeutic model of care based on appropriately sharing their story. Our findings have key implications for maximising the effectiveness of Peer Support Workers and in contributing their perspective to the development of a therapeutic model of care.


PLOS ONE | 2015

Drug Susceptibility Patterns in MDR-TB Patients: Challenges for Future Regimen Design. A Cross-Sectional Study

Helen R. Stagg; James Brown; Elmira Ibraim; Vija Riekstiņa; Piret Viiklepp; Andra Cīrule; Horia Cocei; Manfred Danilovits; Gunta Dravniece; Charlotte Jackson; Peter J. White

Globally, there is substantial concern regarding the challenges of treating complex drug resistance patterns in multidrug resistant tuberculosis cases. Utilising data from three different settings (Estonia, Latvia, Romania) we sought to contrast drug susceptibility profiles for multidrug resistant tuberculosis cases, highlight the difficulties in designing universal regimen, and inform future regimen selection. Demographic and microbiological surveillance data for multidrug resistant tuberculosis cases from 2004–13 were analysed. High levels of additional resistance to currently recommended second line drugs were seen in all settings, with extensive variability between countries. Accurate drug susceptibility testing and drug susceptibility testing data are vital to inform the development of comprehensive, flexible, multidrug resistant tuberculosis guidance.

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Marc Lipman

University College London

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Dominik Zenner

Health Protection Agency

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M Lipman

Royal Free London NHS Foundation Trust

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James Brown

University College London

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