Journal Article > ResearchFull Text
Int J Tuberc Lung Dis. 2023 December 1; Volume 27 (Issue 12); 885-898.; DOI:10.5588/ijtld.23.0341
du Cros PAK, Greig J, Cross GB, Cousins C, Berry C, et al.
Int J Tuberc Lung Dis. 2023 December 1; Volume 27 (Issue 12); 885-898.; DOI:10.5588/ijtld.23.0341
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BACKGROUND
The value, speed of completion and robustness of the evidence generated by TB treatment trials could be improved by implementing standards for best practice.
METHODS
A global panel of experts participated in a Delphi process, using a 7-point Likert scale to score and revise draft standards until consensus was reached.
RESULTS
Eleven standards were defined: Standard 1, high quality data on TB regimens are essential to inform clinical and programmatic management; Standard 2, the research questions addressed by TB trials should be relevant to affected communities, who should be included in all trial stages; Standard 3, trials should make every effort to be as inclusive as possible; Standard 4, the most efficient trial designs should be considered to improve the evidence base as quickly and cost effectively as possible, without compromising quality; Standard 5, trial governance should be in line with accepted good clinical practice; Standard 6, trials should investigate and report strategies that promote optimal engagement in care; Standard 7, where possible, TB trials should include pharmacokinetic and pharmacodynamic components; Standard 8, outcomes should include frequency of disease recurrence and post-treatment sequelae; Standard 9, TB trials should aim to harmonise key outcomes and data structures across studies; Standard 10, TB trials should include biobanking; Standard 11, treatment trials should invest in capacity strengthening of local trial and TB programme staff.
CONCLUSION
These standards should improve the efficiency and effectiveness of evidence generation, as well as the translation of research into policy and practice.
The value, speed of completion and robustness of the evidence generated by TB treatment trials could be improved by implementing standards for best practice.
METHODS
A global panel of experts participated in a Delphi process, using a 7-point Likert scale to score and revise draft standards until consensus was reached.
RESULTS
Eleven standards were defined: Standard 1, high quality data on TB regimens are essential to inform clinical and programmatic management; Standard 2, the research questions addressed by TB trials should be relevant to affected communities, who should be included in all trial stages; Standard 3, trials should make every effort to be as inclusive as possible; Standard 4, the most efficient trial designs should be considered to improve the evidence base as quickly and cost effectively as possible, without compromising quality; Standard 5, trial governance should be in line with accepted good clinical practice; Standard 6, trials should investigate and report strategies that promote optimal engagement in care; Standard 7, where possible, TB trials should include pharmacokinetic and pharmacodynamic components; Standard 8, outcomes should include frequency of disease recurrence and post-treatment sequelae; Standard 9, TB trials should aim to harmonise key outcomes and data structures across studies; Standard 10, TB trials should include biobanking; Standard 11, treatment trials should invest in capacity strengthening of local trial and TB programme staff.
CONCLUSION
These standards should improve the efficiency and effectiveness of evidence generation, as well as the translation of research into policy and practice.
Journal Article > Meta-AnalysisFull Text
PLOS Med. 2012 August 28; Volume 9 (Issue 8); DOI:10.1371/journal.pmed.1001300
Ahuja SD, Ashkin D, Avendano M, Banerjee R, Bayona J, et al.
PLOS Med. 2012 August 28; Volume 9 (Issue 8); DOI:10.1371/journal.pmed.1001300
Treatment of multidrug resistant tuberculosis (MDR-TB) is lengthy, toxic, expensive, and has generally poor outcomes. We undertook an individual patient data meta-analysis to assess the impact on outcomes of the type, number, and duration of drugs used to treat MDR-TB.
Journal Article > ResearchFull Text
Eur Respir J. 2016 September 1; Volume 48 (Issue 4); DOI:10.1183/13993003.00462-2016
Mitnick CD, White RA, Lu C, Rodriguez CA, Bayona J, et al.
Eur Respir J. 2016 September 1; Volume 48 (Issue 4); DOI:10.1183/13993003.00462-2016
Debate persists about monitoring method (culture or smear) and interval (monthly or less frequently) during treatment for multidrug-resistant tuberculosis (MDR-TB). We analysed existing data and estimated the effect of monitoring strategies on timing of failure detection.We identified studies reporting microbiological response to MDR-TB treatment and solicited individual patient data from authors. Frailty survival models were used to estimate pooled relative risk of failure detection in the last 12 months of treatment; hazard of failure using monthly culture was the reference.Data were obtained for 5410 patients across 12 observational studies. During the last 12 months of treatment, failure detection occurred in a median of 3 months by monthly culture; failure detection was delayed by 2, 7, and 9 months relying on bimonthly culture, monthly smear and bimonthly smear, respectively. Risk (95% CI) of failure detection delay resulting from monthly smear relative to culture is 0.38 (0.34-0.42) for all patients and 0.33 (0.25-0.42) for HIV-co-infected patients.Failure detection is delayed by reducing the sensitivity and frequency of the monitoring method. Monthly monitoring of sputum cultures from patients receiving MDR-TB treatment is recommended. Expanded laboratory capacity is needed for high-quality culture, and for smear microscopy and rapid molecular tests.