Skip to main content
Top
Published in: Malaria Journal 1/2006

Open Access 01-12-2006 | Review

Some considerations in the design and interpretation of antimalarial drug trials in uncomplicated falciparum malaria

Authors: Kasia Stepniewska, Nicholas J White

Published in: Malaria Journal | Issue 1/2006

Login to get access

Abstract

Background

Treatments for uncomplicated falciparum malaria should have high cure rates. The World Health Organization has recently set a target cure rate of 95% assessed at 28 days. The use of more effective drugs, with longer periods of patient follow-up, and parasite genotyping to distinguish recrudescence from reinfection raise issues related to the design and interpretation of antimalarial treatment trials in uncomplicated falciparum malaria which are discussed here.

Methods

The importance of adequate follow-up is presented and the advantages and disadvantages of non-inferiority trials are discussed. The different methods of interpreting trial results are described, and the difficulties created by loss to follow-up and missing or indeterminate genotyping results are reviewed.

Conclusion

To characterize cure rates adequately assessment of antimalarial drug efficacy in uncomplicated malaria requires a minimum of 28 days and as much as 63 days follow-up after starting treatment. The longer the duration of follow-up in community-based assessments, the greater is the risk that this will be incomplete, and in endemic areas, the greater is the probability of reinfection. Recrudescence can be distinguished from reinfection using PCR genotyping but there are commonly missing or indeterminate results. There is no consensus on how these data should be analysed, and so a variety of approaches have been employed. It is argued that the correct approach to analysing antimalarial drug efficacy assessments is survival analysis, and patients with missing or indeterminate PCR results should either be censored from the analysis, or if there are sufficient data, results should be adjusted based on the identified ratio of new infections to recrudescences at the time of recurrent parasitaemia. Where the estimated cure rates with currently recommended treatments exceed 95%, individual comparisons with new regimens should generally be designed as non-inferiority trials with sample sizes sufficient to determine adequate precision of cure rate estimates (such that the lower 95% confidence interval bound exceeds 90%).
Appendix
Available only for authorised users
Literature
1.
go back to reference World Health Organization: Guidelines for the treatment of malaria. 2006, WHO/HTM/MAL/2006.1108 World Health Organization: Guidelines for the treatment of malaria. 2006, WHO/HTM/MAL/2006.1108
2.
go back to reference Myint HY, Tipmanee P, Nosten F, Pukrittayakamee S, Day NPJ, Looareesuwan S, White NJ: A systematic overview of published antimalarial drug trials. Trans R Soc Trop Med Hyg. 2004, 98: 73-81. 10.1016/S0035-9203(03)00014-2.CrossRefPubMed Myint HY, Tipmanee P, Nosten F, Pukrittayakamee S, Day NPJ, Looareesuwan S, White NJ: A systematic overview of published antimalarial drug trials. Trans R Soc Trop Med Hyg. 2004, 98: 73-81. 10.1016/S0035-9203(03)00014-2.CrossRefPubMed
3.
go back to reference Simpson JA, Watkins ER, Price RN, Aarons L, Kyle DE, White NJ: Mefloquine pharmacokinetic-pharmacodynamic models: implications for dosing and resistance. Antimicrob Agents Chemother. 2000, 44: 3414-3424. 10.1128/AAC.44.12.3414-3424.2000.PubMedCentralCrossRefPubMed Simpson JA, Watkins ER, Price RN, Aarons L, Kyle DE, White NJ: Mefloquine pharmacokinetic-pharmacodynamic models: implications for dosing and resistance. Antimicrob Agents Chemother. 2000, 44: 3414-3424. 10.1128/AAC.44.12.3414-3424.2000.PubMedCentralCrossRefPubMed
4.
go back to reference White NJ: Assessment of the pharmacodynamic properties of the antimalarial drugs in-vivo. Antimicrob Agents Chemother. 1997, 41: 1413-1422.PubMedCentralPubMed White NJ: Assessment of the pharmacodynamic properties of the antimalarial drugs in-vivo. Antimicrob Agents Chemother. 1997, 41: 1413-1422.PubMedCentralPubMed
5.
go back to reference Shlaes DM, Moellering RC: The United States Food and Drug Administration and the end of antibiotics. Clin Infect Dis. 2002, 34: 420-422. 10.1086/338976.CrossRefPubMed Shlaes DM, Moellering RC: The United States Food and Drug Administration and the end of antibiotics. Clin Infect Dis. 2002, 34: 420-422. 10.1086/338976.CrossRefPubMed
6.
go back to reference Stepniewska K, Taylor WRJ, Mayxay M, Price R, Smithuis F, Guthmann J-P, Barnes K, Myint H, Adjuik M, Olliaro P, Pukrittayakamee S, Looareesuwan S, Hien TT, Farrar J, Nosten F, Day NPJ, White NJ: The in vivo assessment of antimalarial drug efficacy in falciparum malaria; the duration of follow-up. Antimicrob Agents Chemother. 2004, 48: 4271-4280. 10.1128/AAC.48.11.4271-4280.2004.PubMedCentralCrossRefPubMed Stepniewska K, Taylor WRJ, Mayxay M, Price R, Smithuis F, Guthmann J-P, Barnes K, Myint H, Adjuik M, Olliaro P, Pukrittayakamee S, Looareesuwan S, Hien TT, Farrar J, Nosten F, Day NPJ, White NJ: The in vivo assessment of antimalarial drug efficacy in falciparum malaria; the duration of follow-up. Antimicrob Agents Chemother. 2004, 48: 4271-4280. 10.1128/AAC.48.11.4271-4280.2004.PubMedCentralCrossRefPubMed
7.
go back to reference World Health Organization: Assessment and monitoring of antimalarial drug efficacy for the treatment of uncomplicated falicparum malaria. WHO/TDR/RBM. 2003, SO WHO, Geneva, Switzerland World Health Organization: Assessment and monitoring of antimalarial drug efficacy for the treatment of uncomplicated falicparum malaria. WHO/TDR/RBM. 2003, SO WHO, Geneva, Switzerland
8.
go back to reference Brockman A, Paul REL, Anderson TJC, Hackford I, Phaiphun L, Looareesuwan S, Nosten F, Day KP: Application of genetic markers to the identification of recrudescent Plasmodium falciparum infections on the northwestern border of Thailand. Am J Trop Med Hyg. 1999, 60: 14-21.PubMed Brockman A, Paul REL, Anderson TJC, Hackford I, Phaiphun L, Looareesuwan S, Nosten F, Day KP: Application of genetic markers to the identification of recrudescent Plasmodium falciparum infections on the northwestern border of Thailand. Am J Trop Med Hyg. 1999, 60: 14-21.PubMed
9.
go back to reference Farnert A, Arez AP, Babiker HA, Beck HP, Benito A, Bjorkman A, Bruce MC, Conway DJ, Day KP, Henning L, Mercereau-Puijalon O, Ranford-Cartwright LC, Rubio JM, Snounou G, Walliker D, Zwetyenga J, de Rosario VE: Genotyping of Plasmodium falciparum infections by PCR: a comparative multicentre study. Trans R Soc Trop Med Hyg. 2001, 95: 225-32. 10.1016/S0035-9203(01)90175-0.CrossRefPubMed Farnert A, Arez AP, Babiker HA, Beck HP, Benito A, Bjorkman A, Bruce MC, Conway DJ, Day KP, Henning L, Mercereau-Puijalon O, Ranford-Cartwright LC, Rubio JM, Snounou G, Walliker D, Zwetyenga J, de Rosario VE: Genotyping of Plasmodium falciparum infections by PCR: a comparative multicentre study. Trans R Soc Trop Med Hyg. 2001, 95: 225-32. 10.1016/S0035-9203(01)90175-0.CrossRefPubMed
10.
go back to reference Imwong M, Snounou G, Pukrittayakamee S, Tanomsing N, Kim JR, Nandy AJ, Guthmann JP, Nosten F, Carlton J, Looareesuwan S, Nair S, Sudimack D, Day NPJ, Anderson TJC, White NJ: Plasmodium vivax relapses usually result from activation of heterologous hypnozoites. J Infect Dis. Imwong M, Snounou G, Pukrittayakamee S, Tanomsing N, Kim JR, Nandy AJ, Guthmann JP, Nosten F, Carlton J, Looareesuwan S, Nair S, Sudimack D, Day NPJ, Anderson TJC, White NJ: Plasmodium vivax relapses usually result from activation of heterologous hypnozoites. J Infect Dis.
11.
go back to reference Chen N, Auliff A, Rieckmann K, Gatton M, Cheng Q: Genetic evidence that P. vivax relapses result from clonal activation of hypnozoites at predetermined interval. J Infect Dis. Chen N, Auliff A, Rieckmann K, Gatton M, Cheng Q: Genetic evidence that P. vivax relapses result from clonal activation of hypnozoites at predetermined interval. J Infect Dis.
12.
go back to reference Collins WJ, Greenhouse B, Rosenthal PJ, Dorsey G: The use of genotyping in antimalarial clinical trials: a systematic review of published studies from 1995–2005. Malar J. 2006, 5: 122-10.1186/1475-2875-5-122.PubMedCentralCrossRefPubMed Collins WJ, Greenhouse B, Rosenthal PJ, Dorsey G: The use of genotyping in antimalarial clinical trials: a systematic review of published studies from 1995–2005. Malar J. 2006, 5: 122-10.1186/1475-2875-5-122.PubMedCentralCrossRefPubMed
13.
go back to reference Peto R, Pike M, Armitage P, Breslow NE, Cox DR, Howard SV, Mantel N, McPherson K, Peto J, Smith PG: Design and analysis of randomized clinical trials requiring prolonged observation of each patient. II Analysis and examples. Br J Cancer. 1977, 35: 1-39.PubMedCentralCrossRefPubMed Peto R, Pike M, Armitage P, Breslow NE, Cox DR, Howard SV, Mantel N, McPherson K, Peto J, Smith PG: Design and analysis of randomized clinical trials requiring prolonged observation of each patient. II Analysis and examples. Br J Cancer. 1977, 35: 1-39.PubMedCentralCrossRefPubMed
14.
go back to reference Guthmann J-P, Pinoges L, Checchi F, Cousens S, Balkan S, van Herp M, Legros D, Olliaro P: Methodological issues in the assessment of antimalarial drug treatment: analysis of 13 studies in eight African countries from 2001 to 2004. Antimicrob Agents Chemother. 2006, 50: 3734-3739. 10.1128/AAC.01618-05.PubMedCentralCrossRefPubMed Guthmann J-P, Pinoges L, Checchi F, Cousens S, Balkan S, van Herp M, Legros D, Olliaro P: Methodological issues in the assessment of antimalarial drug treatment: analysis of 13 studies in eight African countries from 2001 to 2004. Antimicrob Agents Chemother. 2006, 50: 3734-3739. 10.1128/AAC.01618-05.PubMedCentralCrossRefPubMed
15.
go back to reference Kalbfleisch JD, Prentice RL: The Statistical Analysis of Failure Time Data. 2002, New York: Wiley, 2CrossRef Kalbfleisch JD, Prentice RL: The Statistical Analysis of Failure Time Data. 2002, New York: Wiley, 2CrossRef
16.
go back to reference Altman DG, Machin T, Bryant TN, Gardner MJ, eds: Statistics with confidence. 2000, London: BMJ Books, 2 Altman DG, Machin T, Bryant TN, Gardner MJ, eds: Statistics with confidence. 2000, London: BMJ Books, 2
17.
go back to reference Newcombe RG: Two-sided confidence intervals for the single proportion: comparison of seven methods. Statistics in Medicine. 1998, 17: 857-872. 10.1002/(SICI)1097-0258(19980430)17:8<857::AID-SIM777>3.0.CO;2-E.CrossRefPubMed Newcombe RG: Two-sided confidence intervals for the single proportion: comparison of seven methods. Statistics in Medicine. 1998, 17: 857-872. 10.1002/(SICI)1097-0258(19980430)17:8<857::AID-SIM777>3.0.CO;2-E.CrossRefPubMed
18.
go back to reference Wilson B: Probable inference, the law of succession, and statistical inference. J Am Stat Assoc. 1927, 22: 209-212. 10.2307/2276774.CrossRef Wilson B: Probable inference, the law of succession, and statistical inference. J Am Stat Assoc. 1927, 22: 209-212. 10.2307/2276774.CrossRef
20.
go back to reference Spruance SL, Reid JE, Grace M, Samore M: Hazards Ratio in Clinical Trials. Antimicrob Agents Chemother. 2004, 48: 2787-2792. 10.1128/AAC.48.8.2787-2792.2004.PubMedCentralCrossRefPubMed Spruance SL, Reid JE, Grace M, Samore M: Hazards Ratio in Clinical Trials. Antimicrob Agents Chemother. 2004, 48: 2787-2792. 10.1128/AAC.48.8.2787-2792.2004.PubMedCentralCrossRefPubMed
21.
go back to reference Powers JH, Ross DB, Brittain E, Albrecht R, Goldberger MJ: The United States Food and Drug Administration and noninferiority margins in clinical trials of antimicrobial agents. Clin Infect Dis. 2002, 34: 879-881. 10.1086/339803.CrossRefPubMed Powers JH, Ross DB, Brittain E, Albrecht R, Goldberger MJ: The United States Food and Drug Administration and noninferiority margins in clinical trials of antimicrobial agents. Clin Infect Dis. 2002, 34: 879-881. 10.1086/339803.CrossRefPubMed
22.
go back to reference Chen G, Wang YC, Chi GY: Hypotheses and type I error in active-control noninferiority trials. J Biopharm Stat. 2004, 14: 301-13. 10.1081/BIP-120037181.CrossRefPubMed Chen G, Wang YC, Chi GY: Hypotheses and type I error in active-control noninferiority trials. J Biopharm Stat. 2004, 14: 301-13. 10.1081/BIP-120037181.CrossRefPubMed
23.
go back to reference Dann RS, Koch GG: Review and evaluation of methods for computing confidence intervals for the ratio of two proportions and considerations for non-inferiority clinical trials. J Biopharm Stat. 2005, 15: 85-107.CrossRefPubMed Dann RS, Koch GG: Review and evaluation of methods for computing confidence intervals for the ratio of two proportions and considerations for non-inferiority clinical trials. J Biopharm Stat. 2005, 15: 85-107.CrossRefPubMed
24.
go back to reference Snapinn SM: Alternatives for discounting in the analysis of noninferiority trials. J Biopharm Stat. 2004, 14: 263-273. 10.1081/BIP-120037178.CrossRefPubMed Snapinn SM: Alternatives for discounting in the analysis of noninferiority trials. J Biopharm Stat. 2004, 14: 263-273. 10.1081/BIP-120037178.CrossRefPubMed
25.
go back to reference International Conference on Harmonisation: Choice of control group in clinical trials. Federal Register. 1999, 64: 51767-51780. International Conference on Harmonisation: Choice of control group in clinical trials. Federal Register. 1999, 64: 51767-51780.
26.
go back to reference Newcombe RG: Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in Medicine. 1998, 17: 873-890. 10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I.CrossRefPubMed Newcombe RG: Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in Medicine. 1998, 17: 873-890. 10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I.CrossRefPubMed
28.
go back to reference Newell DJ: Intention-to-treat analysis: implications for quantitative and qualitative research. Int J Epidemiol. 1992, 21: 837-841. 10.1093/ije/21.5.837.CrossRefPubMed Newell DJ: Intention-to-treat analysis: implications for quantitative and qualitative research. Int J Epidemiol. 1992, 21: 837-841. 10.1093/ije/21.5.837.CrossRefPubMed
29.
30.
go back to reference Marubini E, Valsecchi MG: Analysing Survival Data from Clinical Trials and Observational Studies. 1995, Chichester: Wiley Marubini E, Valsecchi MG: Analysing Survival Data from Clinical Trials and Observational Studies. 1995, Chichester: Wiley
31.
go back to reference de Boo TM, Zielhuis GA: Minimization of sample size when comparing two small probabilities in non-inferiority safety trial. Statistics in Medicine. 2004, 23: 1683-1699. 10.1002/sim.1760.CrossRefPubMed de Boo TM, Zielhuis GA: Minimization of sample size when comparing two small probabilities in non-inferiority safety trial. Statistics in Medicine. 2004, 23: 1683-1699. 10.1002/sim.1760.CrossRefPubMed
32.
go back to reference Slater M, Kiggundu M, Dokomajilar C, Kamya MR, Bakyaita N, Talisuna A, Rosenthal PJG, Dorsey G: Distinguishing recrudescences from new infections in antimalarial clinical trials: major impact of interpretation of genotyping results on estimates of drug efficacy. Am J Trop Med Hyg. 2005, 73: 256-262.PubMed Slater M, Kiggundu M, Dokomajilar C, Kamya MR, Bakyaita N, Talisuna A, Rosenthal PJG, Dorsey G: Distinguishing recrudescences from new infections in antimalarial clinical trials: major impact of interpretation of genotyping results on estimates of drug efficacy. Am J Trop Med Hyg. 2005, 73: 256-262.PubMed
Metadata
Title
Some considerations in the design and interpretation of antimalarial drug trials in uncomplicated falciparum malaria
Authors
Kasia Stepniewska
Nicholas J White
Publication date
01-12-2006
Publisher
BioMed Central
Published in
Malaria Journal / Issue 1/2006
Electronic ISSN: 1475-2875
DOI
https://doi.org/10.1186/1475-2875-5-127

Other articles of this Issue 1/2006

Malaria Journal 1/2006 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.