Design characteristics that influence attrition in geriatric antidepressant trials: meta‐analysis
Abstract
Objective: To identify study‐level and treatment group‐level characteristics that are associated with attrition in antidepressant trials for the depressed elderly. Methods: This meta‐analysis used 68 published antidepressant randomized trials for the elderly depressed. Study‐level and treatment group‐level variables were extracted. The former consisted of: use of placebo arm, number of arms, unbalanced treatment allocation, year conducted, study duration, study location, number of centers, and patient pool. The latter consisted of: assigned treatments, baseline mean Hamilton Depression Rating Scale (HDRS), baseline mean age, gender ratio, attrition size, and sample size. Univariate logistic regressions with attrition as the dependent variable were applied, followed by application of a forward stepwise selection method for identification of independent attrition correlates. Results: The 68 studies had a total of 153 treatment groups and 8,385 subjects. Among them, 2,287 subjects were terminated early, resulting in an overall 27.3% attrition rate. The stepwise results showed that higher attrition was significantly associated with active antidepressant groups as opposed to placebo groups, higher baseline HDRS, smaller sample size, unbalanced allocation of treatments, longer duration, and studies conducted in USA. Conclusions: The attrition in geriatric antidepressant trials can be affected by study and group‐level design characteristics that include severity of depression symptoms and active treatments among others. Copyright © 2009 John Wiley & Sons, Ltd.
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Most trials will have some degree of non-retention, and the number of off-study participants usually increases with the duration of follow-up.
“Most trials will have some degree of non-retention, and the number of these off-study participants usually increases with the duration of follow-up.394”
From SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials (2025) · cites this paper as [394]
Cites
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689 · see citing works
A new depression scale designed to be sensitive to change
Montgomery, S. A., & Åsberg, M. (1979) · British Journal of Psychiatry · doi:10.1192/bjp.134.4.382 · Cited by 13,962 · see citing works
The assessment of anxiety states by rating
HAMILTON, M. (1959) · British Journal of Medical Psychology · doi:10.1111/j.2044-8341.1959.tb00467.x · Cited by 11,455 · see citing works
Some Methods for Strengthening the Common χ 2 Tests
Cochran, W. G. (1954) · Biometrics · doi:10.2307/3001616 · Cited by 3,718 · cited 1× · see citing works
“Nevertheless, to test significance of difference in attrition rates between placebo and antidepressants among placebo-controlled studies, we applied Cochran- Copyright # 2009 John Wiley & Sons, Ltd. Mantel- Haenszel (CMH; Cochran, 1954; Mantel and Haenszel, 1959) test.”
MethodAlexopoulos, G. S. (2005) · The Lancet · doi:10.1016/s0140-6736(05)66665-2 · Cited by 2,024 · see citing works
Placebo Response in Studies of Major Depression: Variable, Substantial, and Growing
Walsh, B. T., Seidman, S. N., Sysko, R., & Gould, M. (2002) · JAMA · doi:10.1001/jama.287.14.1840 · Cited by 1,109 · see citing works
Khan, A., Warner, H. A., & Brown, W. A. (2000) · Archives of General Psychiatry · doi:10.1001/archpsyc.57.4.311 · Cited by 475 · see citing works
Selection Models and the File Drawer Problem
Iyengar, S., & Greenhouse, J. B. (1988) · Statistical Science · doi:10.1214/ss/1177013012 · Cited by 399 · see citing works
Attrition in randomized controlled clinical trials: methodological issues in psychopharmacology
Leon, A. C., Mallinckrodt, C. H., Chuang-Stein, C., Archibald, D. G., Archer, G. E., & Chartier, K. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.10.020 · Cited by 303 · see citing works
Efficacy and safety of antidepressants for children and adolescents
Jureidini, J. N., Doecke, C. J., Mansfield, P. R., Haby, M. M., Menkes, D. B., & Tonkin, A. (2004) · BMJ · doi:10.1136/bmj.328.7444.879 · Cited by 303 · see citing works
Antidepressants for depressed elderly
Mottram, P. G., Wilson, K., & Strobl, J. (2006) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003491.pub2 · Cited by 289 · see citing works
Dropout Rates in Placebo-Controlled and Active-Control Clinical Trials of Antipsychotic Drugs
Kemmler, G., Hummer, M., Widschwendter, C. G., & Fleischhacker, W. W. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.12.1305 · Cited by 146 · see citing works
Khan, A., Khan, S., Leventhal, R. M., & Brown, W. A. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.9.1449 · Cited by 130 · see citing works
Use of placebo control groups in evaluating efficacy of treatment of unipolar major depression
Schatzberg, A. F., & KRAEMER, H. C. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(00)00846-5 · Cited by 106 · see citing works
Heo, M., Murphy, C. F., & Meyers, B. S. (2007) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e318098614e · Cited by 97 · see citing works
Self-citationTaylor, W. D., & Doraiswamy, P. M. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300550 · Cited by 95 · see citing works
Heo, M., Murphy, C. F., Fontaine, K. R., BRUCE, M. L., & Alexopoulos, G. S. (2008) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2061 · Cited by 86 · see citing works
Self-citationCovariance Adjustment of Relative-Risk Estimates in Matched Studies
Breslow, N. E. (1982) · Biometrics · doi:10.2307/2530047 · Cited by 69 · see citing works
Salzman, C. (1999) · PubMed · Cited by 36 · see citing works
Factors contributing to failed trials of new agents: can technology prevent some problems?
Greist, J. H., Mundt, J. C., & Kobak, K. A. (2002) · PubMed · Cited by 36 · see citing works
Pharmacotherapy of affective disorders in old age.
Tourigny-Rivard, M.-F. (1997) · PubMed · Cited by 19 · see citing works
McDonald, W. M., Salzman, C., & Schatzberg, A. F. (2002) · PubMed · Cited by 12 · see citing works
Meyers, B. S. (2007) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3180959df5 · Cited by 6 · see citing works
Self-citationHeo, M., Leon, A. C., Meyers, B. S., & Alexopoulos, G. S. (2007) · Current Psychiatry Reviews · doi:10.2174/157340007781369694 · Cited by 5 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials
Chan, A.-W., Tetzlaff, J. M., Gotzsche, P. C., Altman, D. G., Mann, H., Berlin, J. A., Dickersin, K., Hrobjartsson, A., Schulz, K. F., Parulekar, W. R., et al. (2013) · BMJ · doi:10.1136/bmj.e7586 · Cited by 6,251 · see citing works
The Sertraline vs Electrical Current Therapy for Treating Depression Clinical Study
Brunoni, A. R., Valiengo, L. D. C. L., Baccaro, A., Zanao, T. A., de Oliveira, J. F., Goulart, A. C., Boggio, P. S., Lotufo, P. A., Benseñor, I. M., & Fregni, F. (2013) · JAMA Psychiatry · doi:10.1001/2013.jamapsychiatry.32 · Cited by 602 · see citing works
SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials
Hróbjartsson, A., Boutron, I., Hopewell, S., Moher, D., Schulz, K. F., Collins, G. S., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., et al. (2025) · BMJ · doi:10.1136/bmj-2024-081660 · Cited by 171 · see citing works
McCambridge, J., Kalaitzaki, E., White, I. R., Khadjesari, Z., Murray, E., Linke, S., Thompson, S. G., Godfrey, C., & Wallace, P. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1733 · Cited by 74 · see citing works
Spineli, L. M., Pandis, N., & Salanti, G. (2015) · Research Synthesis Methods · doi:10.1002/jrsm.1131 · Cited by 46 · see citing works
Benraad, C. E. M., Kamerman-Celie, F., Munster, B. C. V., Voshaar, R. C. O., Spijker, J., & Rikkert, M. G. M. O. (2016) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4443 · Cited by 32 · see citing works
Heo, M. (2014) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543406.2014.888442 · Cited by 21 · see citing works
Self-citationHeo, M., Kim, Y., Xue, X., & Kim, M. (2009) · Statistics in Medicine · doi:10.1002/sim.3806 · Cited by 21 · see citing works
Self-citationUnmet needs and research challenges for late-life mood disorders
Ghio, L., Vaggi, M., Amore, M., Ferrannini, L., & Natta, W. M. (2013) · Aging Clinical and Experimental Research · doi:10.1007/s40520-013-0149-z · Cited by 8 · see citing works
Differing antidepressant maintenance methodologies
Safer, D. J. (2017) · Contemporary Clinical Trials · doi:10.1016/j.cct.2017.07.021 · Cited by 8 · see citing works
Limosin, F., Manetti, A., René, M., & Schuster, J. P. (2015) · NPG. Neurologie, psychiatrie, gériatrie/NPG · doi:10.1016/j.npg.2014.12.007 · Cited by 7 · see citing works
McChrystal, R., Lees, J. S., Gillies, K., McAllister, D., & Hanlon, P. (2025) · Trials · doi:10.1186/s13063-025-08794-x · Cited by 5 · see citing works
Choosing Treatment for Depression in Older Adults and Evaluating Response
Areán, P. A., & Niu, G. C. (2014) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2014.04.005 · Cited by 3 · see citing works
Clinical trials in late‐life mood disorders
Ghio, L., Natta, W. M., Vaggi, M., & Ferrannini, L. (2015) · Wiley eBooks · doi:10.1002/9781118323434.ch10
Current awareness in human psychopharmacology
(2009) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/hup.1059
Current awareness in geriatric psychiatry
John Wiley & Sons, L. (2009) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2122
- Authors
- Heo, M., Papademetriou, E., & Meyers, B. S.
- Affiliations
- Albert Einstein College of Medicine (US)
- Cornell University (US)
- Corresponding author
- Heo, Moonseong
- Venue
- International Journal of Geriatric Psychiatry
- Publisher
- Wiley
- Published
- 2009-03-04
- Volume
- 24
- Issue
- 9
- Pages
- 990-1001
- ISSN
- 0885-6230 (ISSN-L)
- 1099-1166
- OpenAlex
- W2048929476
- Cited by
- 18
- References
- 25
- Citations by year
- 2025: 2 · 2017: 1 · 2016: 1 · 2015: 3 · 2014: 2 · 2013: 3 · 2012: 2
- FWCI
- 1.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Geriatric Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (P30MH068638, U01MH062518, U01MH62518)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Keywords
- attrition, antidepressant trials, geriatric depression, trial design characteristics, sample size, baseline depression severity, Hamilton Depression Rating Scale, study duration
- MeSH terms
- Aged, Aged, 80 and over, Antidepressive Agents, Depressive Disorder, Female, Geriatrics, Humans, Male, Middle Aged, Patient Dropouts, Placebos, Randomized Controlled Trials as Topic
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