The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Risk Stratification Tools for Predicting Morbidity and Mortality in Adult Patients Undergoing Major Surgery: Qualitative Systematic Review
Open accessAbstract
Risk stratification is essential for both clinical risk prediction and comparative audit. There are a variety of risk stratification tools available for use in major noncardiac surgery, but their discrimination and calibration have not previously been systematically reviewed in heterogeneous patient cohorts. Embase, MEDLINE, and Web of Science were searched for studies published between January 1, 1980 and August 6, 2011 in adult patients undergoing major noncardiac, nonneurological surgery. Twenty-seven studies evaluating 34 risk stratification tools were identified which met inclusion criteria. The Portsmouth-Physiology and Operative Severity Score for the enUmeration of Mortality and the Surgical Risk Scale were demonstrated to be the most consistently accurate tools that have been validated in multiple studies; however, both have limitations. Future work should focus on further evaluation of these and other parsimonious risk predictors, including validation in international cohorts. There is also a need for studies examining the impact that the use of these tools has on clinical decision making and patient outcome.
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Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.005 · Cited by 19,575
Validation of a combined comorbidity index
Charlson, M., Szatrowski, T. P., Peterson, J., & Gold, J. (1994) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(94)90129-5 · Cited by 6,587
Kramer, A. A., & Zimmerman, J. E. (2007) · Critical Care Medicine · doi:10.1097/01.ccm.0000275267.64078.b0 · Cited by 886
Comparisons of established risk prediction models for cardiovascular disease: systematic review
Siontis, G. C. M., Tzoulaki, I., Siontis, K. C., & Ioannidis, J. P. A. (2012) · BMJ · doi:10.1136/bmj.e3318 · Cited by 300
Cited by
Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147
De Hert, S., Staender, S., Fritsch, G., Hinkelbein, J., Afshari, A., Bettelli, G., Bock, M., Chew, M. S., Coburn, M., De Robertis, E., et al. (2018) · European Journal of Anaesthesiology · doi:10.1097/eja.0000000000000817 · Cited by 389
Bihorac, A., Ozrazgat-Baslanti, T., Ebadi, A., Motaei, A., Madkour, M., Pardalos, P. M., Lipori, G., Hogan, W. R., Efron, P. A., Moore, F., et al. (2019) · Annals of Surgery · doi:10.1097/sla.0000000000002706 · Cited by 377
Development and validation of the Surgical Outcome Risk Tool (SORT)
Protopapa, K. L., Simpson, J. C., Smith, N. C. E., & Moonesinghe, S. R. (2014) · British Journal of Surgery · doi:10.1002/bjs.9638 · Cited by 305
Self-citationDeep-learning model for predicting 30-day postoperative mortality
Fritz, B. A., Cui, Z., Zhang, M., He, Y., Chen, Y., Kronzer, A., Ben Abdallah, A., King, C. R., & Avidan, M. S. (2019) · British Journal of Anaesthesia · doi:10.1016/j.bja.2019.07.025 · Cited by 127
Metadata
- Authors
- Moonesinghe, S. R., Mythen, M. G., Das, P., Rowan, K. M., & Grocott, M. P. W.
- Venue
- Anesthesiology
- Published
- 2013-10
- Volume
- 119
- Issue
- 4
- Pages
- 959-981
- ISSN
- 0003-3022 (ISSN-L)
- OpenAlex
- W2138982156
- Cited by
- 334
- References
- 4
- FWCI
- 13.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Moonesinghe, S. R., Mythen, M. G., Das, P., Rowan, K. M., & Grocott, M. P. W. (2013). Risk Stratification Tools for Predicting Morbidity and Mortality in Adult Patients Undergoing Major Surgery: Qualitative Systematic Review. Anesthesiology. https://doi.org/10.1097/aln.0b013e3182a4e94d
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
