Predictors of Success for Pelvic Floor Muscle Training in Pelvic Organ Prolapse
Open accessAbstract
Background: Although the effectiveness of pelvic floor muscle training in women with prolapse has been demonstrated in several studies, there seem to be subgroups of responders and nonresponders. Objective: The objective of this study was to identify factors that predict treatment success in women receiving pelvic floor muscle training for prolapse. Design: The design was a secondary analysis of data from 2 randomized controlled trials comparing conservative prolapse treatments. Methods: After 12 months, 172 women subjectively assessed treatment success ("better") or failure ("the same" or "worse"). Potential predictors were identified by a literature search and by consultation with experts in the field of urogynecology and pelvic floor muscle training. The relationship between potential predictors and treatment success was explored using logistic regression analysis. Results: Treatment was successful in 94 women (55%) and unsuccessful in 78 women (45%). The presence of ≥1 indicators of obstetric trauma (eg, high birth weight, episiotomy, perineal laceration during vaginal delivery, forceps delivery, or vacuum extraction) (odds ratio = 4.4; 95% CI = 1.6–12.0) and younger age (odds ratio = 0.94 per year; 95% CI = 0.9–1.0) independently predicted treatment success. The area under the receiver operating characteristic curve for the final model was 0.65 (95% CI = 0.57–0.74), and the model explained 11.7% of the variance. Limitations: Although attempts were made to include all relevant predictors, the selection or operationalization of variables could have been incomplete or insufficient. Conclusions: Identifying women who have prolapse and are likely to benefit most from pelvic floor muscle training is of great importance to clinical practice. In this study, 2 factors that independently predicted favorable outcomes were identified with this management approach. However, further research is needed to identify other predictive factors and to validate a new model in another population.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Cites
Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742 · see citing works
Relaxing the Rule of Ten Events per Variable in Logistic and Cox Regression
Vittinghoff, E., & McCulloch, C. E. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwk052 · Cited by 4,359 · see citing works
The standardization of terminology of female pelvic organ prolapse and pelvic floor dysfunction
Bump, R. C., Mattiasson, A., Bø, K., Brubaker, L. P., DeLancey, J. O. L., Klarskov, P., Shull, B. L., & Smith, A. R. B. (1996) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(96)70243-0 · Cited by 4,275 · see citing works
Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating
Steyerberg, E. W. (2019) · Statistics for Biology and Health · doi:10.1007/978-3-030-16399-0 · Cited by 3,281 · see citing works
Steyerberg, E. W. (2009) · Statistics for Biology and Health · doi:10.1007/978-0-387-77244-8 · Cited by 1,491 · see citing works
Barber, M. D., Walters, M. D., & Bump, R. C. (2005) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2004.12.025 · Cited by 1,357 · see citing works
Prognosis and prognostic research: Developing a prognostic model
Royston, P., Moons, K. G. M., Altman, D. G., & Vergouwe, Y. (2009) · BMJ · doi:10.1136/bmj.b604 · Cited by 1,172 · see citing works
DeLancey, J. O. L., Morgan, D. M., Fenner, D. E., Kearney, R., Guire, K., Miller, J. M., Hussain, H., Umek, W., Hsu, Y., & Ashton-Miller, J. A. (2007) · Obstetrics & Gynecology · doi:10.1097/01.aog.0000250901.57095.ba · Cited by 707 · see citing works
Messelink, B., Benson, T., Berghmans, B. C. M., Bø, K., Corcos, J., Fowler, C. J., Laycock, J., Lim, P. H., van Lunsen, R. H. W., Nijeholt, G. A. B. L. À., et al. (2005) · Neurourology and Urodynamics · doi:10.1002/nau.20144 · Cited by 545 · see citing works
Haylen, B. T., Maher, C. F., Barber, M. D., Camargo, S., Dandolu, V., Digesu, A., Goldman, H. B., Huser, M., Milani, A. L., Moran, P. A., et al. (2016) · International Urogynecology Journal · doi:10.1007/s00192-015-2932-1 · Cited by 461 · see citing works
Haylen, B. T., Maher, C., Barber, M. D., Camargo, S., Dandolu, V., Digesu, G. A., Goldman, H. B., Hüser, M., Milani, A. L., Moran, P. A., et al. (2016) · Neurourology and Urodynamics · doi:10.1002/nau.22922 · Cited by 427 · see citing works
Conservative prevention and management of pelvic organ prolapse in women
Hagen, S., & Stark, D. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003882.pub4 · Cited by 326 · see citing works
Hove, M. C. P. S., Pool‐Goudzwaard, A., Eijkemans, M. J. C., Steegers‐Theunissen, R. P. M., Burger, C. W., & Vierhout, M. E. (2009) · International Urogynecology Journal · doi:10.1007/s00192-009-0902-1 · Cited by 266 · see citing works
Hagen, S., Stark, D., Glazener, C., Dickson, S., Barry, S., Elders, A., Frawley, H., Galea, M. P., Logan, J., McDonald, A., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(13)61977-7 · Cited by 258 · see citing works
Wiegersma, M., Panman, C. M. C. R., Kollen, B. J., Berger, M. Y., Lisman-Van Leeuwen, Y., & Dekker, J. H. (2014) · BMJ · doi:10.1136/bmj.g7378 · Cited by 122 · see citing works
Self-citationBurgio, K. L., Goode, P. S., Richter, H. E., Locher, J. L., & Roth, D. L. (2006) · Neurourology and Urodynamics · doi:10.1002/nau.20243 · Cited by 109 · see citing works
van Delft, K. W. M., Sultan, A. H., Thakar, R., Schwertner-Tiepelmann, N., & Kluivers, K. B. (2014) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.12666 · Cited by 105 · see citing works
Stüpp, L., Resende, A. P. M., Oliveira, E., Castro, R. A., Girão, M. J. B. C., & Sartori, M. G. F. (2011) · International Urogynecology Journal · doi:10.1007/s00192-011-1428-x · Cited by 85 · see citing works
Panman, C. M. C. R., Wiegersma, M., Kollen, B. J., Berger, M. Y., Lisman-van Leeuwen, Y., Vermeulen, K. M., & Dekker, J. H. (2016) · Menopause · doi:10.1097/gme.0000000000000706 · Cited by 61 · see citing works
Self-citationPanman, C., Wiegersma, M., Kollen, B., Berger, M., Lisman‐Van Leeuwen, Y., Vermeulen, K., & Dekker, J. (2017) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.13992 · Cited by 57 · see citing works
Self-citationKashyap, R., Jain, V., & Singh, A. (2013) · International Journal of Gynecology & Obstetrics · doi:10.1016/j.ijgo.2012.11.012 · Cited by 53 · see citing works
Who will benefit from pelvic floor muscle training for stress urinary incontinence?
Cammu, H., Nylen, M. V., Blockeel, C., Kaufman, L., & Amy, J. (2004) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2004.05.012 · Cited by 51 · see citing works
Khan, Z. A., Whittal, C., Mansol, S., Osborne, L. A., Reed, P., & Emery, S. J. (2013) · Journal of Obstetrics and Gynaecology · doi:10.3109/01443615.2013.813913 · Cited by 51 · see citing works
Predictors of Success and Satisfaction of Nonsurgical Therapy for Stress Urinary Incontinence
Schaffer, J. I., Nager, C. W., Fang, X., Borello‐France, D., Bradley, C. S., Wu, J. M., Mueller, E. R., Norton, P., Paraiso, M. F. R., Zyczynski, H. M., et al. (2012) · Obstetrics and Gynecology · doi:10.1097/aog.0b013e31825a6de7 · Cited by 37 · see citing works
Boselli, A. S., Pinna, F., Cecchini, S., et al. (2010) · World Journal of Surgery · doi:10.1007/s00268-010-0392-9 · Cited by 37 · see citing works
Can the outcome of pelvic-floor rehabilitation in patients with fecal incontinence be predicted?
Terra, M. P., Deutekom, M., Dobben, A. C., et al. (2008) · International Journal of Colorectal Disease · doi:10.1007/s00384-008-0438-8 · Cited by 37 · see citing works
Due, U., Brostrøm, S., & Lose, G. (2016) · International Urogynecology Journal · doi:10.1007/s00192-015-2852-0 · Cited by 36 · see citing works
Dumoulin, C. L., Bourbonnais, D., Morin, M., et al. (2010) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2010.03.006 · Cited by 35 · see citing works
Physiologic variables that predict the outcome of treatment for fecal incontinence
Prather, C. M. (2003) · Gastroenterology · doi:10.1053/j.gastro.2003.10.008 · Cited by 34 · see citing works
Wiegersma, M., Panman, C. M. C. R., Kollen, B. J., Vermeulen, K. M., Schram, A. J., Messelink, E. J., Berger, M. Y., van Leeuwen, Y., & Dekker, J. H. (2013) · Maturitas · doi:10.1016/j.maturitas.2013.10.014 · Cited by 33 · see citing works
Self-citationHendriks, E., Kessels, A. G. H., de Vet, H. C. W., Bernards, A. T. M., & de Bie, R. A. (2009) · Neurourology and Urodynamics · doi:10.1002/nau.20752 · Cited by 24 · see citing works
Yoo, E., Kim, Y., & Kim, D. (2011) · International Journal of Gynecology & Obstetrics · doi:10.1016/j.ijgo.2010.09.016 · Cited by 18 · see citing works
Predictors of treatment response to behavioral therapy and pharmacotherapy for urinary incontinence
Goode, P. S. (2003) · Gastroenterology · doi:10.1053/j.gastro.2003.10.003 · Cited by 14 · see citing works
Bols, E. M. J., Hendriks, E., de Bie, R., et al. (2012) · Neurourology and Urodynamics · doi:10.1002/nau.21236 · Cited by 11 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Bø, K., Anglès-Acedo, S., Batra, A., Brækken, I. H., Chan, Y. L., Jorge, C. H., Kruger, J., Yadav, M., & Dumoulin, C. (2022) · International Urogynecology Journal · doi:10.1007/s00192-022-05324-0 · Cited by 64 · see citing works
Espiño-Albela, A., Castaño-García, C., Díaz-Mohedo, E., & Ibáñez-Vera, A. J. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12050806 · Cited by 28 · see citing works
“Conservative treatment has the advantage of causing fewer adverse effects and complications [12].”
BackgroundThe effect of pelvic floor muscle training for women with pelvic organ prolapse: A meta-analysis
Wang, T., Wen, Z., & Li, M. (2022) · International Urogynecology Journal · doi:10.1007/s00192-022-05139-z · Cited by 24 · see citing works
- Authors
- Wiegersma, M., Panman, C. M. C. R., Hesselink, L. C., Malmberg, A. G. A., Berger, M. Y., Kollen, B. J., & Dekker, J. H.
- Affiliations
- University Medical Center Groningen (NL)
- University of Groningen (NL)
- Corresponding author
- Dekker, Janny H
- Venue
- Physical Therapy
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-10-17
- Volume
- 99
- Issue
- 1
- Pages
- 109-117
- ISSN
- 0031-9023 (ISSN-L)
- 1538-6724
- OpenAlex
- W2896493478
- Cited by
- 17
- References
- 34
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 2 · 2022: 4 · 2021: 2 · 2020: 1 · 2019: 2
- FWCI
- 1.06
- Type
- journal article
- Language
- en
- Open access
- green
- research.rug.nl
- Licence
- Locations
- Physical Therapy (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Topics
- Health Sciences › Medicine › Rheumatology › Pelvic floor disorders treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Sexual function and dysfunction studies
- Health Sciences › Medicine › Urology › Urinary Bladder and Prostate Research
- Keywords
- pelvic floor muscle training, pelvic organ prolapse, predictors of treatment success, obstetric trauma, episiotomy, perineal tears, forceps delivery, vacuum extraction, high birth weight, age, women's health
- MeSH terms
- Aged, Aged, 80 and over, Exercise Therapy, Female, Humans, Middle Aged, Regression Analysis, Odds Ratio, Treatment Outcome, Pelvic Floor, Area Under Curve, Pelvic Organ Prolapse
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review