The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Learning Minimally Invasive Mitral Valve Surgery: A Cumulative Sum Sequential Probability Analysis of 3895 Operations From a Single High-Volume Center
Open accessAbstract
Background—: Learning curves are vigorously discussed and viewed as a negative aspect of adopting new procedures. However, very few publications have methodically examined learning curves in cardiac surgery, which could lead to a better understanding and a more meaningful discussion of their consequences. The purpose of this study was to assess the learning process involved in the performance of minimally invasive surgery of the mitral valve using data from a large, single-center experience. Methods and Results—: All mitral (including tricuspid, or atrial fibrillation ablation) operations performed over a 17-year period through a right lateral mini-thoracotomy with peripheral cannulation for cardiopulmonary bypass (n=3907) were analyzed. Data were obtained from a prospective database. Individual learning curves for operation time and complication rates (using sequential probability cumulative sum failure analysis) and average results were calculated. A total of 3895 operations by 17 surgeons performing their first minimally invasive surgery of the mitral valve operation at our institution could be evaluated. The typical number of operations to overcome the learning curve was between 75 and 125. Furthermore, >1 such operation per week was necessary to maintain good results. Individual learning curves varied markedly, proving the need for good monitoring or mentoring in the initial phase. Conclusions—: A true learning curve exists for minimally invasive surgery of the mitral valve. Although the number of operations required to overcome the learning curve is substantial, marked variation exists between individual surgeons. Such information could be very helpful in structuring future training and maintenance of competence programs for this kind of surgery.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Minimally invasive mitral valve surgery: a systematic review and meta-analysis
Modi, P., Hassan, A., & Chitwood, W. R. (2008) · European Journal of Cardio-Thoracic Surgery · doi:10.1016/j.ejcts.2008.07.057 · Cited by 503
Gammie, J. S., Zhao, Y., Peterson, E. D., O'Brien, S. M., Rankin, J. S., & Griffith, B. P. (2010) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2010.05.055 · Cited by 369
Predictors of Mitral Valve Repair: Clinical and Surgeon Factors
Bolling, S. F., Li, S., O'Brien, S. M., Brennan, J. M., Prager, R. L., & Gammie, J. S. (2010) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2010.07.062 · Cited by 314
Castillo, J. G., Anyanwu, A. C., Fuster, V., & Adams, D. H. (2012) · The Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2011.12.054 · Cited by 292
Control chart methods for monitoring cardiac surgical performance and their interpretation
Rogers, C. A., Reeves, B. C., Caputo, M., Ganesh, J. S., Bonser, R. S., & Angelini, G. D. (2004) · The Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2004.03.011 · Cited by 187
Gummert, J. F., Funkat, A. K., Beckmann, A., Ernst, M., Hekmat, K., Beyersdorf, F., & Schiller, W. (2011) · The Thoracic and Cardiovascular Surgeon · doi:10.1055/s-0030-1271191 · Cited by 74
Learning curve analysis of mitral valve repair using telemanipulative technology
Charland, P. J., Robbins, T., Rodriguez, E., Nifong, W. L., & Chitwood, R. W. (2010) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2010.10.029 · Cited by 35
Will minimally invasive valve replacement ever really be important?
Caffarelli, A. D., & Robbins, R. C. (2004) · Current Opinion in Cardiology · doi:10.1097/00001573-200403000-00010 · Cited by 21
Cited by
Otto, C. M., Nishimura, R. A., Bonow, R. O., Carabello, B. A., Erwin, J. P., Gentile, F., Jneid, H., Krieger, E. V., Mack, M., McLeod, C., et al. (2021) · Circulation · doi:10.1161/cir.0000000000000923 · Cited by 3,686
2014 AHA/ACC Guideline for the Management of Patients With Valvular Heart Disease
Nishimura, R. A., Otto, C. M., Bonow, R. O., Carabello, B. A., Erwin, J. P., Guyton, R. A., O’Gara, P. T., Ruiz, C. E., Skubas, N. J., Sorajja, P., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.02.536 · Cited by 3,523
2014 AHA/ACC guideline for the management of patients with valvular heart disease
Nishimura, R. A., Otto, C. M., Bonow, R. O., Carabello, B. A., Erwin, J. P., Guyton, R. A., O’Gara, P. T., Ruiz, C. E., Skubas, N. J., Sorajja, P., et al. (2014) · The Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2014.05.014 · Cited by 989
Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data
Alemzadeh, H., Raman, J., Leveson, N., Kalbarczyk, Z., & Iyer, R. K. (2016) · PLOS ONE · doi:10.1371/journal.pone.0151470 · Cited by 441
2020 ACC/AHA guideline for the management of patients with valvular heart disease
Otto, C. M., Nishimura, R. A., Bonow, R. O., Carabello, B. A., Erwin, J. P., Gentile, F., Jneid, H., Krieger, E. V., Mack, M., McLeod, C., et al. (2021) · The Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2021.04.002 · Cited by 279
Metadata
- Authors
- Holzhey, D. M., Seeburger, J., Misfeld, M., Borger, M. A., & Mohr, F. W.
- Venue
- Circulation
- Published
- 2013-07-30
- Volume
- 128
- Issue
- 5
- Pages
- 483-491
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2024312319
- Cited by
- 302
- References
- 8
- FWCI
- 14.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Learning Minimally Invasive Mitral Valve Surgery: A Cumulative Sum Sequential Probability Analysis of 3895 Operations From a Single High-Volume Center. https://app.cochat.ai/papers/10.1161/circulationaha.112.001402
- The paper
- Holzhey, D. M., Seeburger, J., Misfeld, M., Borger, M. A., & Mohr, F. W. (2013). Learning Minimally Invasive Mitral Valve Surgery: A Cumulative Sum Sequential Probability Analysis of 3895 Operations From a Single High-Volume Center. Circulation. https://doi.org/10.1161/circulationaha.112.001402
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
