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Published in: Trials 1/2015

Open Access 01-12-2015 | Methodology

How to assess success of treatment when using multiple doses: the case of misoprostol for medical abortion

Authors: Armando H. Seuc, Iqbal H. Shah, Moazzam Ali, Claudia Diaz-Olavarrieta, Marleen Temmerman

Published in: Trials | Issue 1/2015

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Abstract

Background

The assessment of treatment success in clinical trials when multiple (repeated) doses (courses) are involved is quite common, for example, in the case of infertility treatment with assisted reproductive technology (ART), and medical abortion using misoprostol alone or in combination with mifepristone. Under these or similar circumstances, most researchers assess success using binomial proportions after a certain number of consecutive doses, and some have used survival analysis. In this paper we discuss the main problems in using binomial proportions to summarize (the overall) efficacy after two or more consecutive doses of the relevant treatment, particularly for the case of misoprostol in medical abortion studies. We later discuss why the survival analysis is best suited under these circumstances, and illustrate this by using simulated data.

Methods

The formulas required for the binomial proportion and survival analysis (without and with competing risks) approaches are summarized and analytically compared. Additionally, numerical results are computed and compared between the two approaches, for several theoretical scenarios.

Results

The main conceptual limitations of the binomial proportion approach are identified and discussed, caused mainly by the presence of censoring and competing risks, and it is demonstrated how survival analysis can solve these problems. In general, the binomial proportion approach tends to underestimate the “real” success rate, and tends to overestimate the corresponding standard error.

Conclusions

Depending on the rates of censored observations or competing events between repeated doses of the treatment, the bias of the binomial proportion approach as compared to the survival analysis approaches varies; however, the use of the binomial approach is unjustified as the survival analysis options are well known and available in multiple statistical packages. Our conclusions also apply to other situations where success is estimated after multiple (repeated) doses (courses) of the treatment.
Literature
1.
go back to reference World Health Organization. Safe abortion: technical and policy guidance for health systems. 2nd ed. Geneva: World Health Organization; 2012. World Health Organization. Safe abortion: technical and policy guidance for health systems. 2nd ed. Geneva: World Health Organization; 2012.
2.
go back to reference Al-Bdour A, Akasheh H, Al-Jayousi T. Missed abortion: termination using single-dose versus two doses of vaginal misoprostol tablets. Pak J Med Sci. 2007;23(6):920–3. Al-Bdour A, Akasheh H, Al-Jayousi T. Missed abortion: termination using single-dose versus two doses of vaginal misoprostol tablets. Pak J Med Sci. 2007;23(6):920–3.
3.
go back to reference Coyaji K, Krishna U, Ambardekar S, Bracken H, Raote V, Mandlekar A, et al. Are two doses of misoprostol after mifepristone for early abortion better than one? BJOG. 2007;114(3):271–8.CrossRefPubMed Coyaji K, Krishna U, Ambardekar S, Bracken H, Raote V, Mandlekar A, et al. Are two doses of misoprostol after mifepristone for early abortion better than one? BJOG. 2007;114(3):271–8.CrossRefPubMed
4.
go back to reference Jain JK, Dutton C, Harwood B, Meckstroth KR, Mishell DR. A prospective randomized, double-blinded, placebo-controlled trial comparing mifepristone and vaginal misoprostol to vaginal misoprostol alone for elective termination of early pregnancy. Hum Reprod. 2002;17(6):1477–82.CrossRefPubMed Jain JK, Dutton C, Harwood B, Meckstroth KR, Mishell DR. A prospective randomized, double-blinded, placebo-controlled trial comparing mifepristone and vaginal misoprostol to vaginal misoprostol alone for elective termination of early pregnancy. Hum Reprod. 2002;17(6):1477–82.CrossRefPubMed
5.
go back to reference Ngo TD, Park MH, Xiao Y. Comparing the World Health Organization-versus China-recommended protocol for first-trimester medical abortion: a retrospective analysis. Int J Womens Health. 2012;4:123–7.CrossRefPubMedPubMedCentral Ngo TD, Park MH, Xiao Y. Comparing the World Health Organization-versus China-recommended protocol for first-trimester medical abortion: a retrospective analysis. Int J Womens Health. 2012;4:123–7.CrossRefPubMedPubMedCentral
6.
go back to reference Singh K, Fong YF, Dong F. A viable alternative to surgical vacuum aspiration: repeated doses of intravaginal misoprostol over 9 hours for medical termination of pregnancies up to eight weeks. BJOG. 2003;110(2):175–80.CrossRefPubMed Singh K, Fong YF, Dong F. A viable alternative to surgical vacuum aspiration: repeated doses of intravaginal misoprostol over 9 hours for medical termination of pregnancies up to eight weeks. BJOG. 2003;110(2):175–80.CrossRefPubMed
7.
go back to reference von Hertzen H, Piaggio G, Huong NTM, Arustamyan K, Cabezas E, Gomez M, et al. Efficacy of two intervals and two routes of administration of misoprostol for termination of early pregnancy: a randomised controlled equivalence trial. Lancet. 2007;369(9577):1938–46.CrossRef von Hertzen H, Piaggio G, Huong NTM, Arustamyan K, Cabezas E, Gomez M, et al. Efficacy of two intervals and two routes of administration of misoprostol for termination of early pregnancy: a randomised controlled equivalence trial. Lancet. 2007;369(9577):1938–46.CrossRef
8.
go back to reference Zikopoulos KA, Papanikolaou EG, Kalantaridou SN, Tsanadis GD, Plachouras NI, Dalkalitsis NA, et al. Early pregnancy termination with vaginal misoprostol before and after 42 days gestation. Hum Reprod. 2002;17(12):3079–83.CrossRefPubMed Zikopoulos KA, Papanikolaou EG, Kalantaridou SN, Tsanadis GD, Plachouras NI, Dalkalitsis NA, et al. Early pregnancy termination with vaginal misoprostol before and after 42 days gestation. Hum Reprod. 2002;17(12):3079–83.CrossRefPubMed
9.
go back to reference Gallo MF, Cahill S, Castleman L, Mitchell EMH. A systematic review of more than one dose of misoprostol after mifepristone for abortion up to 10 weeks of gestation. Contraception. 2006;74(1):36–41.CrossRefPubMed Gallo MF, Cahill S, Castleman L, Mitchell EMH. A systematic review of more than one dose of misoprostol after mifepristone for abortion up to 10 weeks of gestation. Contraception. 2006;74(1):36–41.CrossRefPubMed
10.
go back to reference von Hertzen H, Piaggio G, Wojdyla D, Nguyen TMH, Marions L, Okoev G, et al. Comparison of vaginal and sublingual misoprostol for second trimester abortion: randomized controlled equivalence trial. Hum Reprod. 2009;24(1):106–12.CrossRef von Hertzen H, Piaggio G, Wojdyla D, Nguyen TMH, Marions L, Okoev G, et al. Comparison of vaginal and sublingual misoprostol for second trimester abortion: randomized controlled equivalence trial. Hum Reprod. 2009;24(1):106–12.CrossRef
11.
go back to reference Ashok PW, Templeton A, Wagaarachchi PT, Flett GMM. Factors affecting the outcome of early medical abortion: a review of 4132 consecutive cases. BJOG. 2002;109(11):1281–9.CrossRefPubMed Ashok PW, Templeton A, Wagaarachchi PT, Flett GMM. Factors affecting the outcome of early medical abortion: a review of 4132 consecutive cases. BJOG. 2002;109(11):1281–9.CrossRefPubMed
13.
go back to reference Armitage P, Berry G, Matthews J. Statistical Methods in Medical Research. 4th ed. Oxford: Oxford, Blackwell Science; 2002.CrossRef Armitage P, Berry G, Matthews J. Statistical Methods in Medical Research. 4th ed. Oxford: Oxford, Blackwell Science; 2002.CrossRef
14.
go back to reference Peto R, Pike M, Armitage P, Breslow N, Cox D, Howard S, et al. Design and analysis of randomized clinical trials requiring prolonged observation of each patient. Br J Cancer. 1977;35(1):1–39.CrossRefPubMedPubMedCentral Peto R, Pike M, Armitage P, Breslow N, Cox D, Howard S, et al. Design and analysis of randomized clinical trials requiring prolonged observation of each patient. Br J Cancer. 1977;35(1):1–39.CrossRefPubMedPubMedCentral
15.
go back to reference Collet D. Modelling survival data in medical research. 1st ed. London: Chapman & Hall; 1994.CrossRef Collet D. Modelling survival data in medical research. 1st ed. London: Chapman & Hall; 1994.CrossRef
16.
go back to reference Satagopan JM, Ben-Porat L, Berwick M, Robson M, Kutler D, Auerbach AD. A note on competing risks in survival data analysis. Br J Cancer. 2004;91:1229–35.CrossRefPubMedPubMedCentral Satagopan JM, Ben-Porat L, Berwick M, Robson M, Kutler D, Auerbach AD. A note on competing risks in survival data analysis. Br J Cancer. 2004;91:1229–35.CrossRefPubMedPubMedCentral
18.
go back to reference Compton CC, Byrd DR, Garcia-Aguilar SH, Kurtzman A, Olawaiye MK. (eds.), “AJCC Cancer Staging Atlas,” in AJCC Cancer Staging Atlas: A Companion to the Seventh Editions of the AJCC Cancer Staging Manual and Handbook, doi:10.1007/978-1-4614-2080-4_2, © 2012 American Joint Committee on Cancer. Compton CC, Byrd DR, Garcia-Aguilar SH, Kurtzman A, Olawaiye MK. (eds.), “AJCC Cancer Staging Atlas,” in AJCC Cancer Staging Atlas: A Companion to the Seventh Editions of the AJCC Cancer Staging Manual and Handbook, doi:10.​1007/​978-1-4614-2080-4_​2, © 2012 American Joint Committee on Cancer.
19.
go back to reference Coviello V, Boggess M. Cumulative incidence estimation in the presence of competing risks. STATA J. 2004;4(2):103–12. Coviello V, Boggess M. Cumulative incidence estimation in the presence of competing risks. STATA J. 2004;4(2):103–12.
20.
go back to reference Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing risks and multi-state models. Stat Med. 2007;26:2389–430.CrossRefPubMed Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing risks and multi-state models. Stat Med. 2007;26:2389–430.CrossRefPubMed
21.
go back to reference Braun TM, Yuan Z. Comparing the small sample performance of several variance estimators under competing risks. Stat Med. 2007;26:1170–80.CrossRefPubMed Braun TM, Yuan Z. Comparing the small sample performance of several variance estimators under competing risks. Stat Med. 2007;26:1170–80.CrossRefPubMed
22.
go back to reference Scrucca L, Santucci A, Aversa F. Competing risk analysis using R: an easy guide for clinicians. Bone Marrow Transplant. 2007;40(4):381–7.CrossRefPubMed Scrucca L, Santucci A, Aversa F. Competing risk analysis using R: an easy guide for clinicians. Bone Marrow Transplant. 2007;40(4):381–7.CrossRefPubMed
23.
24.
go back to reference Stolwijk AM, Wetzels AMM, Braat DDM. Cumulative probability of achieving an ongoing pregnancy after in-vitro fertilization and intracytoplasmic sperm injection according to a woman’s age, subfertility diagnosis and primary or secondary subfertility. Hum Reprod. 2000;15(1):203–9.CrossRefPubMed Stolwijk AM, Wetzels AMM, Braat DDM. Cumulative probability of achieving an ongoing pregnancy after in-vitro fertilization and intracytoplasmic sperm injection according to a woman’s age, subfertility diagnosis and primary or secondary subfertility. Hum Reprod. 2000;15(1):203–9.CrossRefPubMed
25.
go back to reference Luke B, Brown M, Wantman E, Lederman A, Gibbons W, Schattman GL, et al. Cumulative birth rates with linked assisted reproductive technology cycles. N Engl J Med. 2012;366(26):2483–91.CrossRefPubMedPubMedCentral Luke B, Brown M, Wantman E, Lederman A, Gibbons W, Schattman GL, et al. Cumulative birth rates with linked assisted reproductive technology cycles. N Engl J Med. 2012;366(26):2483–91.CrossRefPubMedPubMedCentral
Metadata
Title
How to assess success of treatment when using multiple doses: the case of misoprostol for medical abortion
Authors
Armando H. Seuc
Iqbal H. Shah
Moazzam Ali
Claudia Diaz-Olavarrieta
Marleen Temmerman
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Trials / Issue 1/2015
Electronic ISSN: 1745-6215
DOI
https://doi.org/10.1186/s13063-015-1035-0

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