Skip to content


  • Review
  • Open Access
  • Open Peer Review

Quality of outcome reporting in phase II studies in pulmonary tuberculosis


  • Received: 8 June 2015
  • Accepted: 10 November 2015
  • Published:
Open Peer Review reports


Tuberculosis (TB) remains a major killer amongst the infectious diseases. Current treatment involves a four-drug regimen for at least 6 months. New drugs and regimens are required to shorten treatment duration, reduce toxicity and combat drug resistance, but the optimal methodology to define the critical path for novel regimens is not well defined. We undertook a systematic review to summarise outcomes reported in Phase II trials of patients with newly diagnosed pulmonary TB to assess the need for a core outcome set. A systematic search of databases (PubMed, MEDLINE, EMBASE and LILACs) was conducted on 1 May 2015 to retrieve relevant peer-reviewed articles. Reference lists of included studies were also searched. This systematic review considered all reported outcomes. Risk of bias was considered via sequence generation, allocation concealment, blinding, reasons for exclusions, and selective reporting. Of 55 included studies, 20 were Phase IIB studies based on culture conversion, 32 were Phase IIA studies based on quantitative bacteriology, and three considered alternative outcomes. Large variation in reported outcomes and trial characteristics was observed across the included studies. Bacteriological results were as often expressed in terms of positivity as negativity, with varying definitions of culture conversion. Variation in reporting was particularly marked for Phase IIA studies, where multiple time intervals were typically selected for analysis and sometimes resulted in differing interpretations of the efficacy of drugs or regimens. Within both Phase IIA and IIB studies, there was variation in the time points at which the study participants were sampled, as well as in the bacteriological media and methods used. For successful future meta-analysis of early-phase studies, the findings of this review suggest that development of a core outcome set would be desirable. This would enable trial results to be more easily compared and combined, potentially leading to more effective development of new treatment strategies for patients with TB. Pending development of, and agreement on, such a core outcome set, we suggest some interim recommendations for reporting of future phase II studies of pulmonary tuberculosis.


  • Tuberculosis
  • systematic review
  • outcomes


Treatment of tuberculosis (TB) has evolved very slowly in the 40 years since current standard first-line regimens were first developed. Combinations of up to four drugs are needed for 6 months or more in order to ensure a relapse-free cure for most patients. Screening novel treatment regimens in Phase II trials is challenging because early indications of treatment efficacy rely on bacteriological biomarkers whose relation with long-term outcomes is unclear. Furthermore, this information can be obtained and expressed in a number of different ways, leading to a lack of consistency and comparability in the outcomes reported across clinical trials. These uncertainties are a critical risk to decision-making about which regimens should progress to Phase III trials, which are large, prolonged and expensive.

Possible bacteriological outcomes in TB are diverse. Mycobacterium tuberculosis may be grown on solid or liquid media of different types using different processing and decontamination methods. The laboratory results may be expressed as culture positivity at single time-points, hazard of culture conversion over multiple time-points, changes in or rate of elimination of counts of colonies on solid media, and time-to-positivity in automated liquid culture systems. Furthermore, the method of analysis may vary accordingly with the type of endpoint from simple analysis of proportions to linear or non-linear models of colony counts or liquid cultures to time-to-event analysis of culture conversion. Typically, proof-of-concept Phase IIA studies utilise quantitative bacteriology to study monotherapy over study periods no longer than 14 days (‘early bactericidal activity’ or EBA), whereas Phase IIB studies of drug combinations utilise a wider variety of methods over a longer time period, usually the first 56 days of treatment with a particular focus on culture conversion at 2 months, which has historically correlated well with long-term outcomes [1, 2]. Recently however Phase IIA studies of combination regimens have become more common.

This diversity is potentially problematic in a therapeutic area in which there is relatively limited capability to conduct large or multiple trials of the same regimen and where the relationship of short to long term endpoints is incompletely understood. Without comparability of outcomes across trials considering new regimens, it may be challenging to synthesize evidence effectively and draw the methodological conclusions necessary to improve the conduct of future trials. These issues have become pressing in light of recent prominent disappointments in Phase III studies and with the emerging need in the field to evaluate novel combinations of drugs efficiently [3]. With this in mind, we systematically reviewed the literature of Phase II studies in pulmonary TB to determine how outcomes are currently defined, how commonly they are used in published studies to date, and how they are employed in the current drug development pathway.



Randomised controlled trials, or quasi-randomised trials, were included in our systematic review of the available literature. Included studies had to include patients with smear- and culture-positive pulmonary tuberculosis that were being treated for the first time, or had known isoniazid mono-resistant organisms on susceptibility testing. Only trials including regimens containing any combination of historic (rifampicin (R), isoniazid (H), pyrazinamide (Z), ethambutol (E), thiacetazone (T), para-aminosalicylic acid (P), and streptomycin (S)), or novel drugs used or proposed for use in first-line treatment regimens (rifabutin (Rb), rifapentine (Rp), levofloxacin (L), ofloxacin (O), gatifloxacin (G), moxifloxacin (M), bedaquiline (J), and PA-824 (Pa)) were considered.

A systematic search of databases (PubMed, MEDLINE, EMBASE and LILACs) was conducted on 1 May 2015 to retrieve relevant peer-reviewed articles. The employed search strategy drew upon common phrases and terms used in the literature. Keywords (appropriately truncated to allow a wide search) were combined with medical subject headings (MeSH) to comprehensively search four databases. The PubMed inclusive search strategy was as follows, with relevant modifications made as necessary for the other databases:
  1. 1.

    Search (tuberculosis) AND clinical trials

  2. 2.

    Search ((((((((((((((rifampicin) OR isoniazid) OR pyrazinamide) OR ethambutol) OR thiacetazone) OR pyrazinamide) OR streptomycin) OR rifabutin) OR rifapentine) OR levofloxacin) OR ofloxacin) OR gatifloxacin) OR moxifloxacin) OR bedaquiline) OR PA-824

  3. 3.

    Search (#1) AND #2


No language restrictions were imposed. The search strategy was supplemented by hand searching reference lists of included studies and relevant reviews. One author (GD) reviewed the title and available abstract for all identified citations to determine relevance. Another author (LB) repeated this process on 1 May 2015 to check for additional studies. Following the initial review, both authors (LB and GD) independently reviewed full-text publications to make a final selection of included Phase II studies evaluating either monotherapy or combination regimens. A structured form was used to record relevant information and ensure uniformity of evaluation for each study. Extracted data included study characteristics including country of study, sample size, treatments (including dosages and regimens), and all reported outcomes. Risk of bias was considered via sequence generation, allocation concealment, blinding, reasons for exclusions, and selective reporting.


The flow of studies through the review is shown in Fig. 1. The main reasons for exclusion were failure to meet the inclusion criteria, and study design other than randomised controlled trial. In total, 55 relevant studies were identified and included.
Fig. 1
Fig. 1

Flow of studies in the review

A bar chart summarising the year of publication of the included studies can be seen in Fig. 2. In 1996, CONSORT guidelines were first published for transparent reporting of clinical trials [4]. The majority (79 %) of studies included in our review were published after 1996, and consequently should conform to the CONSORT guidelines and present thorough information on items such as trial design, intervention, participants, and outcomes, which must be completely defined [4].
Fig. 2
Fig. 2

Year of publication of included studies

Despite the CONSORT guidelines, a core outcome set for TB that defines a minimum set of clearly defined outcomes to be reported in each future study [5] has not yet been developed. Consequently, there is wide variation in the definition and type of outcomes reported. Most studies included in our review reported more than one outcome, and the distinction between primary and secondary outcomes was often unclear. Therefore all outcomes included in each study have been considered and are summarised in Table 1.
Table 1

Reported outcomes



No. studies reporting outcome


Fall or rate of change in log10 CFU/ml sputum


CFU count

Mean concentration of viable bacilli



Acid-fast bacilli


Culture negativity

Proportion, or time to, culture negativity


Culture positivity

Proportion, or time to, culture positivity


Smear/culture conversion

Proportion converting, or time to conversion



Proportion or time to sterilisation


Other culture outcome

For example, persistence, relapse, time to detection, culture status


Adverse events



Gaffky code




Of cultures





Symptom disappearance

Proportion with, or time to symptom disappearance


The methods and purposes of Phase IIA and IIB studies in tuberculosis differ, and we have considered these study types separately in the quantitative review that follows. Of the 55 included studies, 32 were Phase IIA studies, 20 were Phase IIB studies, and three were designed to consider alternative outcomes such as contamination [6], and Gaffky code - a numerical rating for the classification of tuberculosis according to the number of tubercle bacilli in the sputum [7]. One study considered both Phase IIA and IIB outcomes [8].

In addition to the differing types of phase II studies, different culture media were considered across trials. For example, 34 studies (26 Phase IIA studies, five Phase IIB studies, one study considering EBA and culture together [8], and two that considered alternative outcomes [6, 9]) reported results obtained using solid media such as Lowenstein-Jensen and Middlebrook 7H10. In 12 cases (eight Phase IIB studies and four Phase IIA studies), the laboratory methodology described the use of both solid and liquid media, such as the BACTEC or MGIT system, and a single set of results combined over the multiple media were presented. Three studies (all Phase IIB studies [1012]) described culture on both liquid and solid media but presented disaggregated results per medium. Several studies did not describe the medium used - one Phase IIA study [13], four Phase IIB studies [1417], and one study looking at an alternative outcome [7]. Three of these studies were published pre-CONSORT [7, 14, 15]. One study was a conference abstract [13] where space constraints meant methodology could not be reported, and two were published in Russian language journals, which appeared not to adopt the CONSORT reporting guidelines [16, 17].

A range of analytic approaches to these varied data were considered, with multiple and wide-ranging methods being reported in most publications. Some authors opted to analyse their data using regression models such as logistic [12, 18] or linear [10, 1921] analysis. More commonly, authors considered t-tests [6, 22, 23], ANOVA methodology [2426], and chi-squared tests [11, 18, 27] for normally distributed data, or Kruskal-Wallis [28, 29], Mann-Whitney U [30, 31], or equivalent tests when the data was not normally distributed. Infrequently, time-to-event analysis methodology was used [12, 28, 32], as well as correlation methodology, including the Wilcoxon signed-rank test [8, 30, 31]. None of the studies were adjusted for multiple comparisons.

Regarding risk of bias, 24 (44 %) studies did not report the method of sequence generation. All but four studies (83 %) used random allocation (with stratification in some cases), rather than consecutive allocation. Only four studies (7 %) mentioned allocation concealment, mainly via opaque envelopes. Six studies (11 %) were of a double-blind design, and another six were single-blind studies. Twenty-eight studies (51 %) provided reasons for exclusions, or numbers lost to follow-up. Seventeen (31 %) studies were published pre-CONSORT when selecting reporting was not considered as a possible source of bias. In all studies published post-CONSORT, the risk of bias is unclear, as there is insufficient information to determine whether the published reports include all expected outcomes, including those that were pre-specified.

Phase IIA studies

More than half (56 %) of the included studies were designed to assess EBA, although authors did not always precisely define this term and explicit definitions differed between studies. In most cases, EBA was defined as the fall, or mean rate of change, in log10 colony-forming units (CFU) per ml sputum over various time periods or between two time-points. Some authors did not define their outcome as EBA but used methods that conformed to this approach, for example, decrease in sputum bacillary load of Mycobacterium TB (M. TB) from pre-treatment to day 15 of study drug treatment [33], or mean rate of decline of CFU [20], or decrease in viable count [34]. In one case, EBA was reported over 8 weeks [8]. Figure 3 and Fig. 4 summarise the reported time points in Phase IIA studies, showing that for the majority of studies included in this review, endpoints were focused only on the first week of treatment.
Fig. 3
Fig. 3

Reported time points in Phase IIA studies - discrete quantitative bacteriological time points

Fig. 4
Fig. 4

Reported time points in Phase IIA studies - interval quantitative bacteriological time points

EBA studies showed a range of durations from 2 to 90 days. Seven studies lasted 2 days, three lasted 7 days, and seven lasted 14 days. Other frequent durations were 5 days (six studies), 28 days (three studies), and 15 days (two studies). Infrequently chosen durations were 8, 9, 30, 56 and 90 days, each of which was used for individual studies only. EBA results were most frequently reported in a table with differing time intervals from zero to 14 days. Measures included EBA 2 to 14 days [35], 2 to 5 days [24], and 7 to 14 days [36], along with the more common 0 to 2 days, 2 to 7 days and 0 to 7 days [37]. In other studies, EBA was reported in a figure and was therefore presented at a number of time points, for example, once daily from days 0 to 5 [38] or, once daily on days 0, 1, 2, 3, 4, 6, 8, 10, 12 and 14 [35].

Some authors referred to EBA specifically as the change in log10 CFU/ml sputum during the first 2 days of treatment and referred to ‘extended EBA’ as the decline in bacilli during the last 5 days of study drug administration (for example, days 2 to 7) [26, 29]. Several studies, instead of reporting fall or change in log10 CFU/ml, defined as EBA above, reported mean concentration of viable bacilli at a fixed time point, or mean viable count (log10 CFU/ml) [39]. CFU count was always presented in table form, and there was better agreement among authors about the definition of this outcome. However, in one case [40] the CFU counts were standardised and in another the rate of fall of CFU counts was reported (referred to as the ‘kill index’) [41]. The time interval over which CFU counts were presented ranged from 2 days to 56 days in one case [6].

Phase IIB studies

Within studies designed to consider 2-month outcomes, the most frequently reported outcome (30 %) related to culture positivity. This was measured in many ways including time of last positive sputum culture or smear [9], and time to stable culture conversion. This was defined as the number of days from study treatment initiation to the time of sputum collection yielding the first negative culture that was followed by at least one subsequent negative culture and no subsequent positive culture [42]. In one study, positivity was expressed as the percentage of cultures positive at fixed time points such as at 28 days [39].

Regarding culture negativity, whilst most (24 %) authors opted to present the proportion of negative cultures at a time point (usually 2 months), some used time to [28], or speed of [12], culture conversion. Negativity was more simply expressed as either a binary outcome at a fixed time point [27], or the proportion of patients whose culture had converted at a fixed time point [10, 42]. The definition of time to culture conversion varied between studies. One study defined time to culture conversion as the time from the start of treatment to the first of two consecutive culture negative sputum samples on non-consecutive days that were not followed by a positive sputum sample [10]. Another defined the outcome as the time point after which all sputum cultures were negative [12]. All relevant studies presented results at 2 months, but also additional time points where culture status was considered (weekly, or biweekly from zero to 8 weeks [18, 27]). Figure 5 summarises the reported time points in Phase IIB studies. Infrequently, studies reported culture conversion over a range of days, for example, 0 to 2 days.
Fig. 5
Fig. 5

Reported time points in Phase IIB studies - discrete time points

Notably, few studies clearly reported numbers of culture samples missing due to non-attendance, sample contamination, or lack of sputum production at each time point.

Trial characteristics

In addition to the diversity of the outcomes reported, and the variation in their definitions, it should be noted that there was also variation across trial characteristics. As mentioned above, different time points were used for the reporting of outcomes. This adds to the complication when attempting to compare the results from multiple studies to synthesize evidence to support treatment regimens. Finally, in most cases an estimate of variability, such as a standard deviation or 95 % confidence interval was provided together with the point estimate. Some studies, however, only presented a point estimate (for example, [43]). These issues all make combining evidence from multiple studies via meta-analysis challenging.


The results of this systematic review show that there is large variation in the outcomes and trial characteristics reported across phase II studies in pulmonary TB and in the statistical methods used to analyse them. Within both Phase IIA and IIB studies, there was variation in the time points at which study participants were sampled, as well as in the media used both in terms of the use of solid versus liquid media, and in the specific medium used, for example, Middlebrook 7H10 versus 7H11. Variation in reporting was particularly marked for Phase IIA studies, where multiple, apparently arbitrary, time intervals were typically selected for analysis, sometimes resulting in differing results and interpretations of the efficacy of drugs or regimens. Recently, alternative approaches have been proposed based on statistical modelling, but there is no general consensus on which approach should have priority. Phase IIB studies usually collect bacteriological samples on a weekly or bi-weekly basis. Bacteriological results were as often expressed in terms of positivity as negativity, with varying definitions of culture conversion. Though 2-month culture conversion is often used as the primary endpoint in Phase IIB studies, a number of different approaches have been used to analyse data at prior time points, singly or together. In general, logistic regression analyses of culture conversion were more common than time-to-event approaches.

In recent years, automated liquid culture systems for mycobacteria have become more widely distributed and are increasingly used in clinical trials. Culture positivity tends to persist for longer in such systems than on traditional solid culture because of their inherently greater sensitivity. While there are currently limited available data to clearly define comparability across these different methods, it seems likely that these technical differences could contribute considerable additional variability to any of the endpoints discussed here [12, 18, 27, 42]. It may therefore be important to be able to distinguish between or disaggregate data derived from these different laboratory methods.

Recently, efforts have been made to harmonize data collection standards in tuberculosis trials [44] and to standardise laboratory standard operating procedures to ensure comparability of individual patient datasets. However, if successful meta-analysis of multiple early-phase studies is to be carried out in the future, this review makes clear that development of a core outcome set would also be desirable. This would provide a minimum set of clearly defined outcomes to be reported in each study [5]. The core outcome set would not be exhaustive and trialists would have the opportunity to supplement it with any other outcomes of interest to them in any given trial. However, agreement on a meaningful core outcome set would make it easier for the results of trials to be compared, contrasted and combined in systematic reviews, ultimately facilitating understanding and accelerating improvement of treatment strategies for patients with TB.


Pending development of, and agreement on, such a core outcome set, our review suggests some interim recommendations for reporting of future phase II studies of pulmonary tuberculosis.

Sampling scheme

We suggest that the sampling scheme should be clearly described, including information about the number and type of samples taken, in particular whether the samples were single or replicated, and the timing of sample collection. The proportion of samples missing due to contamination, failure to obtain or to produce a sample should also be reported. Whatever analysis is performed, summary results of bacteriological data at each time-point should also be reported, if necessary in a supplement to the study report.

Microbiological methods

Additionally, microbiological methods should be clearly described, particularly the use of solid and liquid media and the specific type or system used. It should always be possible to disaggregate results for solid and liquid media in study reports. Studies should also report percentages of cultures negative at the time points of interest and use a consistent, explicit definition of culture conversion. We recommend that this should be defined as the time-point at which the first negative culture in a series of negative cultures extending to the end of the sampling period occurs. The major advantage of prioritising culture conversion as the endpoint of interest is that it is a defined event rather than a continuing state of positivity and better suited to time-to-event analysis, which would facilitate comparison of results across studies with different sampling designs.

Measures of variability

Where quantitative bacteriological data are reported, measures of variability of the measurements, preferably the standard deviation, should always be reported. With the exception of 2-month culture positivity, which has support as a surrogate endpoint from meta-analyses and regulators [1], serial bacteriological measurements should be analysed using statistical approaches that provide estimates of effect independent of the particular time-points selected for the sampling scheme. This is particularly important as culture conversion rates at 2 months rise with improving efficacy of regimens, reaching near-universal culture conversion at this time point. Statistical modelling approaches to quantitative bacteriology and time-to-event methods are suitable for this purpose and would facilitate combination of data from different studies across a range of regimens with possibly widely varying efficacies.

Individual participant data

Finally, due to the diversity of possible analytical approaches and the standard of reporting observed, routine availability of individual patient datasets for the purposes of meta-analysis is desirable where study reports and supplementary information do not contain the data necessary to define relevant endpoints to similar definitions across studies.

Our review suggests that simple measures could greatly improve the quality of reporting of phase II outcomes but also points to the need to develop a core outcome set for early phase trials in TB which could secure more widespread agreement on outcomes amongst trialists and regulators. Such an approach, alongside other harmonisation initiatives in laboratory methods and data recording, could greatly improve the informativeness of systematic reviews in this area, enabling more confident prioritisation of regimens for evaluation in phase III trials on the basis of phase II results.



acid-fast bacilli


colony-forming units




early bactericidal activity












Mycobacterium tuberculosis




para-aminosalicylic acid



















The authors acknowledge Marianne Scott who assisted with and checked some of the data extraction.

The research leading to these results has received funding from the Innovative Medicines Initiative Joint Undertaking under grant agreement n° 115337, resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in kind contribution.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

Department of Biostatistics & Department of Clinical Infection, Microbiology & Immunology, University of Liverpool, Waterhouse Building, Block F, 1-5 Brownlow Street, Liverpool, L69 3GL, UK
Department of Clinical Infection, Microbiology, & Immunology, University of Liverpool, Ronald Ross Building, 8 West Derby Street, Liverpool, L69 7BE, UK


  1. Phillips PPJ, Fielding K, Nunn AJ. An evaluation of culture results during treatment for tuberculosis as surrogate endpoints for treatment failure and relapse. PLoS One. 2013;8:e63840. doi:10.1371/journal.pone.0063840.View ArticlePubMedPubMed CentralGoogle Scholar
  2. Wallis RS, Wang C, Meyer D, Thomas N. Month 2 culture status and treatment duration as predictors of tuberculosis relapse risk in a meta-regression model. PLoS One. 2013;8:e71116. doi:10.1371/journal.pone.0071116.View ArticlePubMedPubMed CentralGoogle Scholar
  3. Lienhardt C, Raviglione M, Spigelman M, Hafner R, Jaramillo E, Hoelscher M, et al. New drugs for the treatment of tuberculosis: needs, challenges, promise, and prospects for the future. J Infect Dis. 2012;205 suppl 2:S241–S9. doi:10.1093/infdis/jis034.View ArticlePubMedGoogle Scholar
  4. Begg C, Cho M, Eastwood S, Horton R, Moher D, Olkin I, et al. Improving the quality of reporting of randomized controlled trials: The consort statement. JAMA. 1996;276:637–9. doi:10.1001/jama.1996.03540080059030.View ArticlePubMedGoogle Scholar
  5. Clarke M. Standardising outcomes for clinical trials and systematic reviews. Trials. 2007;8:39. doi:10.1186/1745-6215-8-39.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Sloan DJ, Corbett EL, Butterworth AE, Mwandumba HC, Khoo SH, Mdolo A, et al. Optimizing outpatient serial sputum colony counting for studies of tuberculosis treatment in resource-poor settings. J Clin Microbiol. 2012;50:2315–20. doi:10.1128/JCM.00043-12.View ArticlePubMedPubMed CentralGoogle Scholar
  7. Schutz I, Bartmann K. Sputum excretion of tubercle bacilli as early criterion in the evaluation of the therapeutic effectiveness of antituberculous drugs, illustrated by its use in a controlled trial of single-drug regimens. Antibiotica et chemotherapia Fortschritte Advances Progres. 1970;16:490–500.PubMedGoogle Scholar
  8. Kennedy N, Fox R, Kisyombe GM, Saruni AO, Uiso LO, Ramsay AR, et al. Early bactericidal and sterilizing activities of ciprofloxacin in pulmonary tuberculosis. Am Rev Respir Dis. 1993;148(6 Pt 1):1547–51. doi:10.1164/ajrccm/148.6_Pt_1.1547.View ArticlePubMedGoogle Scholar
  9. Chang KC, Leung CC, Yew WW, Kam KM, Yip CW, Ma CH, et al. Peak plasma rifampicin level in tuberculosis patients with slow culture conversion. Eur J Clin Microbiol Infect Dis. 2008;27:467–72. doi:10.1007/s10096-007-0454-6.View ArticlePubMedGoogle Scholar
  10. Dorman SE, Goldberg S, Stout JE, Muzanyi G, Johnson JL, Weiner M, et al. Substitution of rifapentine for rifampin during intensive phase treatment of pulmonary tuberculosis: study 29 of the tuberculosis trials consortium. J Infect Dis. 2012;206:1030–40. doi:10.1093/infdis/jis461.View ArticlePubMedGoogle Scholar
  11. Joloba ML, Johnson JL, Namale A, Morrissey A, Assegghai AE, Mugerwa RD, et al. Quantitative sputum bacillary load during rifampin-containing short course chemotherapy in human immunodeficiency virus-infected and non-infected adults with pulmonary tuberculosis. Int J Tuberc Lung Dis. 2000;4:528–36.PubMedGoogle Scholar
  12. Rustomjee R, Lienhardt C, Kanyok T, Davies GR, Levin J, Mthiyane T, et al. A Phase II study of the sterilising activities of ofloxacin, gatifloxacin and moxifloxacin in pulmonary tuberculosis. Int J Tuberc Lung Dis. 2008;12:128–38.PubMedGoogle Scholar
  13. Diacon AH. Early bactericidal activity, tolerability, and pharmacokinetics of the investigational diarylquinoline TMC207. 37th World Conference on Lung Health of the Interational Union Against Tuberculosis and Lung Disease (The Union). Paris, France: The International Journal of Tuberculosis and Lung Disease; 2006.Google Scholar
  14. [Intermittent chemotherapy from the beginning or only after a period of daily administration? Quantitative bacteriological study at the initial phase of chemotherapy with INH + RMP + EMB in daily or intermittent administration]. Revista de igiena, bacteriologie, virusologie, parazitologie, epidemiologie, pneumoftiziologie Pneumoftiziologia. 1977; 26:193-205.Google Scholar
  15. Delli Veneri F, Centrella G, Stefanelli R. Changes in the bacteriologic findings in patients treated with rifomycin, alone or associated with other drugs. Archivio di tisiologia e delle malattie dell’apparato respiratorio. 1968;23:387–98.PubMedGoogle Scholar
  16. Sokolova GB, Kirtaeva OV, Lazareva Ia V, Tsybanev AA. [Floracide, a Russian 3rd generation fluoroquinolone in complex therapy of tuberculosis]. Antibiotiki i khimioterapiia = Antibiotics and chemoterapy [sic] / Ministerstvo meditsinskoi i mikrobiologicheskoi promyshlennosti SSSR. 2008; 53:28–31.Google Scholar
  17. Sokolova GB, Krasnov VA, Reikhrud TA, Tsybanev AA. [Rifapex, a new antituberculosis agent]. Antibiotiki i khimioterapiia = Antibiotics and chemoterapy [sic] / Ministerstvo meditsinskoi i mikrobiologicheskoi promyshlennosti SSSR. 2009; 54:38–41.Google Scholar
  18. Conde MB, Efron A, Loredo C, De Souza GRM, Graça NP, Cezar MC, et al. Moxifloxacin versus ethambutol in the initial treatment of tuberculosis: a double-blind, randomised, controlled phase II trial. Lancet. 2009;373:1183–9. doi:10.1016/S0140-6736(09)60333-0.View ArticlePubMedPubMed CentralGoogle Scholar
  19. Jindani A, Dore CJ, Mitchison DA. Bactericidal and sterilizing activities of antituberculosis drugs during the first 14 days. Am J Respir Crit Care Med. 2003;167:1348–54. doi:10.1164/rccm.200210-1125OC.View ArticlePubMedGoogle Scholar
  20. Hafner R, Cohn JA, Wright DJ, Dunlap NE, Egorin MJ, Enama ME, et al. Early bactericidal activity of isoniazid in pulmonary tuberculosis. Optimization of methodology. The DATRI 008 Study Group. Am J Respir Crit Care Med. 1997;156(3 Pt 1):918–23. doi:10.1164/ajrccm.156.3.9612016.View ArticlePubMedGoogle Scholar
  21. Diacon AH, Dawson R, Hanekom M, Narunsky K, Venter A, Hittel N, et al. Early bactericidal activity of delamanid (OPC-67683) in smear-positive pulmonary tuberculosis patients. Int J Tuberc Lung Dis. 2011;15:949–54. doi:10.5588/ijtld.10.0616.View ArticlePubMedGoogle Scholar
  22. Wallis RS, Vinhas SA, Johnson JL, Ribeiro FC, Palaci M, Peres RL, et al. Whole blood bactericidal activity during treatment of pulmonary tuberculosis. J Infect Dis. 2003;187:270–8. doi:10.1086/346053.View ArticlePubMedGoogle Scholar
  23. Paramasivan CN, Herbert D, Umapathy KC, Rahman F, Krishnamurthy PV, Prabhakar R. Early bactericidal action of pulsed exposure to rifampicin, ethambutol, isoniazid & pyrazinamide in pulmonary tuberculosis patients. Indian J Med Res. 1994;100:1–4.PubMedGoogle Scholar
  24. Sirgel FA, Fourie PB, Donald PR, Padayatchi N, Rustomjee R, Levin J, et al. The early bactericidal activities of rifampin and rifapentine in pulmonary tuberculosis. Am J Respir Crit Care Med. 2005;172:128–35. doi:10.1164/rccm.200411-1557OC.View ArticlePubMedGoogle Scholar
  25. Donald PR, Sirgel FA, Venter A, Parkin DP, Seifart HI, van de Wal BW, et al. The influence of human N-acetyltransferase genotype on the early bactericidal activity of isoniazid. Clin Infect Dis. 2004;39:1425–30. doi:10.1086/424999.View ArticlePubMedGoogle Scholar
  26. Dietze R, Hadad DJ, McGee B, Molino LP, Maciel EL, Peloquin CA, et al. Early and extended early bactericidal activity of linezolid in pulmonary tuberculosis. Am J Respir Crit Care Med. 2008;178:1180–5. doi:10.1164/rccm.200806-892OC.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Burman WJ, Goldberg S, Johnson JL, Muzanye G, Engle M, Mosher AW, et al. Moxifloxacin versus ethambutol in the first 2 months of treatment for pulmonary tuberculosis. Am J Respir Crit Care Med. 2006;174:331–8. doi:10.1164/rccm.200603-360OC.View ArticlePubMedGoogle Scholar
  28. Schwander S, Rusch-Gerdes S, Mateega A, Lutalo T, Tugume S, Kityo C, et al. A pilot study of antituberculosis combinations comparing rifabutin with rifampicin in the treatment of HIV-1 associated tuberculosis. A single-blind randomized evaluation in Ugandan patients with HIV-1 infection and pulmonary tuberculosis. Tuber Lung Dis. 1995;76:210–8.View ArticlePubMedGoogle Scholar
  29. Johnson JL, Hadad DJ, Boom WH, Daley CL, Peloquin CA, Eisenach KD, et al. Early and extended early bactericidal activity of levofloxacin, gatifloxacin and moxifloxacin in pulmonary tuberculosis. Int J Tuberc Lung Dis. 2006;10:605–12.PubMedGoogle Scholar
  30. Pletz MW, De Roux A, Roth A, Neumann KH, Mauch H, Lode H. Early bactericidal activity of moxifloxacin in treatment of pulmonary tuberculosis: a prospective, randomized study. Antimicrob Agents Chemother. 2004;48:780–2.View ArticlePubMedPubMed CentralGoogle Scholar
  31. Pheiffer C, Carroll NM, Beyers N, Donald P, Duncan K, Uys P, et al. Time to detection of Mycobacterium tuberculosis in BACTEC systems as a viable alternative to colony counting. Int J Tuberc Lung Dis. 2008;12:792–8.PubMedGoogle Scholar
  32. Martineau AR, Timms PM, Bothamley GH, Hanifa Y, Islam K, Claxton AP, et al. High-dose vitamin D(3) during intensive-phase antimicrobial treatment of pulmonary tuberculosis: a double-blind randomised controlled trial. Lancet. 2011;377:242–50. doi:10.1016/S0140-6736(10)61889-2.View ArticlePubMedPubMed CentralGoogle Scholar
  33. Dietze R, Teixeira L, Rocha LM, Palaci M, Johnson JL, Wells C, et al. Safety and bactericidal activity of rifalazil in patientwith pulmonary tuberculosis. Antimicrob Agents Chemother. 2001;45:1972–6. doi:10.1128/AAC.45.7.1972-1976.2001.View ArticlePubMedPubMed CentralGoogle Scholar
  34. Chan SL, Yew WW, Ma WK, Girling DJ, Aber VR, Felmingham D, et al. The early bactericidal activity of rifabutin measured by sputum viable counts in Hong Kong patients with pulmonary tuberculosis. Tuber Lung Dis. 1992;73:33–8. doi:10.1016/0962-8479(92)90077-W.View ArticlePubMedGoogle Scholar
  35. Diacon AH, Dawson R, Hanekom M, Narunsky K, Maritz SJ, Venter A, et al. Early bactericidal activity and pharmacokinetics of PA-824 in smear-positive tuberculosis patients. Antimicrob Agents Chemother. 2010;54:3402–7. doi:10.1128/AAC.01354-09.View ArticlePubMedPubMed CentralGoogle Scholar
  36. Diacon AH, Dawson R, Von Groote-Bidlingmaier F, Symons G, Venter A, Donald PR, et al. Randomized dose-ranging study of the 14-day early bactericidal activity of bedaquiline (TMC207) in patients with sputum microscopy smear-positive pulmonary tuberculosis. Antimicrob Agents Chemother. 2013;57:2199–203. doi:10.1128/AAC.02243-12.View ArticlePubMedPubMed CentralGoogle Scholar
  37. Chambers HF, Kocagoz T, Sipit T, Turner J, Hopewell PC. Activity of amoxicillin/clavulanate in patients with tuberculosis. Clin Infect Dis. 1998;26:874–7.View ArticlePubMedGoogle Scholar
  38. Diacon AH, Patientia RF, Venter A, van Helden PD, Smith PJ, McIlleron H, et al. Early bactericidal activity of high-dose rifampin in patients with pulmonary tuberculosis evidenced by positive sputum smears. Antimicrob Agents Chemother. 2007;51:2994–6. doi:10.1128/AAC.01474-06.View ArticlePubMedPubMed CentralGoogle Scholar
  39. Brindle RJ, Nunn PP, Githui W, Allen BW, Gathua S, Waiyaki P. Quantitative bacillary response to treatment in HIV-associated pulmonary tuberculosis. Am Rev Respir Dis. 1993;147:958–61. doi:10.1164/ajrccm/147.4.958.View ArticlePubMedGoogle Scholar
  40. Sirgel FA, Botha FJ, Parkin DP, Van de Wal BW, Schall R, Donald PR, et al. The early bactericidal activity of ciprofloxacin in patients with pulmonary tuberculosis. Am J Respir Crit Care Med. 1997;156(3 Pt 1):901–5. doi:10.1164/ajrccm.156.3.9611066.View ArticlePubMedGoogle Scholar
  41. Brindle R, Odhiambo J, Mitchison D. Serial counts of Mycobacterium tuberculosis in sputum as surrogate markers of the sterilising activity of rifampicin and pyrazinamide in treating pulmonary tuberculosis. BMC Pulm Med. 2001;1:2.View ArticlePubMedPubMed CentralGoogle Scholar
  42. Dorman SE, Johnson JL, Goldberg S, Muzanye G, Padayatchi N, Bozeman L, et al. Substitution of moxifloxacin for isoniazid during intensive phase treatment of pulmonary tuberculosis. Am J Respir Crit Care Med. 2009;180:273–80. doi:10.1164/rccm.200901-0078OC.View ArticlePubMedGoogle Scholar
  43. Jindani A, Aber VR, Edwards EA, Mitchison DA. The early bactericidal activity of drugs in patients with pulmonary tuberculosis. Am Rev Respir Dis. 1980;121:939–49.PubMedGoogle Scholar
  44. CDISC. Tuberculosis Therapeutic Area Supplement to the Study Data Tabulation Model User Guide. Austin, Texas, USA: Clinical Data Interchange Standards Consortium; 2012. The relevant URL is


© Bonnett and Davies. 2015


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate. Please note that comments may be removed without notice if they are flagged by another user or do not comply with our community guidelines.