The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries
Abstract
With advances in the effectiveness of treatment and disease management, the contribution of chronic comorbid diseases (comorbidities) found within the Charlson comorbidity index to mortality is likely to have changed since development of the index in 1984. The authors reevaluated the Charlson index and reassigned weights to each condition by identifying and following patients to observe mortality within 1 year after hospital discharge. They applied the updated index and weights to hospital discharge data from 6 countries and tested for their ability to predict in-hospital mortality. Compared with the original Charlson weights, weights generated from the Calgary, Alberta, Canada, data (2004) were 0 for 5 comorbidities, decreased for 3 comorbidities, increased for 4 comorbidities, and did not change for 5 comorbidities. The C statistics for discriminating in-hospital mortality between the new score generated from the 12 comorbidities and the Charlson score were 0.825 (new) and 0.808 (old), respectively, in Australian data (2008), 0.828 and 0.825 in Canadian data (2008), 0.878 and 0.882 in French data (2004), 0.727 and 0.723 in Japanese data (2008), 0.831 and 0.836 in New Zealand data (2008), and 0.869 and 0.876 in Swiss data (2008). The updated index of 12 comorbidities showed good-to-excellent discrimination in predicting in-hospital mortality in data from 6 countries and may be more appropriate for use with more recent administrative data.
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
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
DEYO, R. (1992) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(92)90133-8 · Cited by 10,452
Comorbidity measures for use with administrative data.
Elixhauser, A., Steiner, C., Harris, D. R., & Coffey, R. M. (1998) · Medical Care · doi:10.1097/00005650-199801000-00004 · Cited by 9,921
van Walraven, C., Austin, P. C., Jennings, A., Quan, H., & Forster, A. J. (2009) · Medical Care · doi:10.1097/mlr.0b013e31819432e5 · Cited by 2,200
Self-citationRomano, P. S., Roos, L. L., & Jollis, J. G. (1993) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(93)90103-8 · Cited by 1,717
Validation of a case definition to define hypertension using administrative data
Quan, H., Khan, N., Hemmelgarn, B. R., Tu, K., Chen, G., Campbell, N., Hill, M. D., Ghali, W. A., & McAlister, F. A. (2009) · Hypertension · doi:10.1161/hypertensionaha.109.139279 · Cited by 350
Self-citationDeterminants of survival in behavioral variant frontotemporal dementia
Garcin, B., Lillo, P., Hornberger, M., Piguet, O., Dawson, K., Nestor, P. J., & Hodges, J. R. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c1dee7 · Cited by 94 · cited 1×
“The increase in weight for these comorbidities may be related to an aging population and the increasing severity of disease in hospitalized patients (20–23).”
Cited by
The Economic Burden of Adults with Major Depressive Disorder in the United States (2010 and 2018)
Greenberg, P. E., Fournier, A.-A., Sisitsky, T., Simes, M., Berman, R., Koenigsberg, S. H., & Kessler, R. C. (2021) · PharmacoEconomics · doi:10.1007/s40273-021-01019-4 · Cited by 838
Sun, E. C., Dixit, A., Humphreys, K., Darnall, B. D., Baker, L. C., & Mackey, S. (2017) · BMJ · doi:10.1136/bmj.j760 · Cited by 534
Association of Integrated Team-Based Care With Health Care Quality, Utilization, and Cost
Reiss-Brennan, B., Brunisholz, K. D., Dredge, C., Briot, P., Grazier, K., Wilcox, A., Savitz, L., & James, B. (2016) · JAMA · doi:10.1001/jama.2016.11232 · Cited by 303
Nutritional Status and Mortality in the Critically Ill*
Mogensen, K. M., Robinson, M. K., Casey, J. D., Gunasekera, N. S., Moromizato, T., Rawn, J. D., & Christopher, K. B. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000001306 · Cited by 190
Brunisholz, K., Briot, P., Hamilton, S., Joy, E., Lomax, M., Barton, N., Cunningham, R., Cannon, W., & Savitz, L. (2014) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s69000 · Cited by 167
Metadata
- Authors
- Quan, H., Li, B., Couris, C. M., Fushimi, K., Graham, P., Hider, P., Januel, J.-M., & Sundararajan, V.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-02-17
- Volume
- 173
- Issue
- 6
- Pages
- 676-682
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2121656227
- Cited by
- 5,843
- References
- 7
- FWCI
- 35.01
- Type
- journal article
- Language
- en
- Open access
- closed
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: Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries. https://app.cochat.ai/papers/10.1093/aje/kwq433
- The paper
- Quan, H., Li, B., Couris, C. M., Fushimi, K., Graham, P., Hider, P., Januel, J.-M., & Sundararajan, V. (2011). Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwq433
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.
