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Cited by 358

The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.

A systematic review identifies valid comorbidity indices derived from administrative health data

Yurkovich, Marko, Avina-Zubieta, J. Antonio, Thomas, Jamie, Gorenchtein, Mike, Lacaille, Diane·2015·Journal of Clinical Epidemiology

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Citations

Cites

Show all 80 references

Research works printed but not linked: 11

  1. Poses, 1995, Controlling for confounding by indication for treatment. Are administrative data equivalent to clinical data?, Med Care, 33, AS36
  2. Hollenbeak, 2007, Using comorbidity indexes to predict costs for head and neck cancer, Arch Otolaryngol Head Neck Surg, 133, 24, 10.1001/archotol.133.1.24 · doi:10.1001/archotol.133.1.24
  3. Hanley, 2010, Explaining prescription drug use and expenditures using the adjusted clinical groups case-mix system in the population of British Columbia, Canada, Med Care, 48, 402, 10.1097/MLR.0b013e3181ca3d5d · doi:10.1097/mlr.0b013e3181ca3d5d
  4. Jang, 2010, Charlson comorbidity index using administrative database in incident PD patients, Clin Nephrol, 73, 204, 10.5414/CNP73204 · doi:10.5414/cnp73204
  5. Zhu, 2008, Stroke: the Elixhauser index for comorbidity adjustment of in-hospital case fatality, Neurology, 71, 283, 10.1212/01.wnl.0000318278.41347.94 · doi:10.1212/01.wnl.0000318278.41347.94
  6. Abildstrom, 2010, Prognostic information in administrative co-morbidity data following coronary artery bypass grafting, Eur J Cardiothorac Surg, 38, 573, 10.1016/j.ejcts.2010.03.007 · doi:10.1016/j.ejcts.2010.03.007
  7. Kurichi, 2007, Assessing and using comorbidity measures in elderly veterans with lower extremity amputations, Gerontology, 53, 255, 10.1159/000101703 · doi:10.1159/000101703
  8. Martins, 2010, Use of comorbidity measures to predict the risk of death in Brazilian in-patients, Rev Saude Publica, 44, 448, 10.1590/S0034-89102010005000003 · doi:10.1590/s0034-89102010005000003
  9. Kaye, 2001, Preoperative drug dispensing as predictor of surgical site infection, Emerg Infect Dis, 7, 57, 10.3201/eid0701.010110 · doi:10.3201/eid0701.010110
  10. Joish, 2005, Development and validation of a diabetes mellitus severity index: a risk-adjustment tool for predicting health care resource use and costs, Pharmacotherapy, 25, 676, 10.1592/phco.25.5.676.63594 · doi:10.1592/phco.25.5.676.63594
  11. Maciejewski, 2009, Performance of comorbidity, risk adjustment, and functional status measures in expenditure prediction for patients with diabetes, Diabetes Care, 32, 75, 10.2337/dc08-1099 · doi:10.2337/dc08-1099

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Metadata

Authors
Yurkovich, M., Avina-Zubieta, J. A., Thomas, J., Gorenchtein, M., & Lacaille, D.
Venue
Journal of Clinical Epidemiology
Publisher
Elsevier BV
Published
2015-01
Volume
68
Issue
1
Pages
3-14
ISSN
0895-4356 (ISSN-L)
OpenAlex
W2024445668
Cited by
358
References
80
FWCI
3.53
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: A systematic review identifies valid comorbidity indices derived from administrative health data. https://app.cochat.ai/papers/10.1016/j.jclinepi.2014.09.010
The paper
Yurkovich, M., Avina-Zubieta, J. A., Thomas, J., Gorenchtein, M., & Lacaille, D. (2015). A systematic review identifies valid comorbidity indices derived from administrative health data. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2014.09.010

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.