The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Prognostic Importance of Comorbidity in a Hospital-Based Cancer Registry
Abstract
CONTEXT: Patients with cancer often have other medical ailments, referred to as comorbidity. Comorbidity may impact treatment decision-making, prognosis, and quality of care assessment. OBJECTIVE: To assess whether comorbidity information can provide important prognostic information in a hospital-based cancer registry. DESIGN, SETTING, AND PARTICIPANTS: An observational prospective cohort study using comorbidity data collected by trained hospital-based cancer registrars. Comorbidity was obtained through medical record review using the Adult Comorbidity Evaluation 27, a validated chart-based comorbidity instrument. A total of 17,712 patients receiving care between January 1, 1995, and January 31, 2001, for the primary diagnosis of new cancer of the prostate, lung (nonsmall cell), breast, digestive system, gynecological, urinary system, or head and neck were included. MAIN OUTCOME MEASURE: Duration in months of overall survival. RESULTS: A total of 19,268 patients were included in the study; median duration of follow-up was 31 months. Of these patients, 1556 (8.0%) were excluded due to missing or unknown data. Severity of comorbidity strongly influenced survival in a dose-dependent fashion and the impact of comorbidity was independent of cancer stage. Compared with patients without comorbidity, the adjusted hazard ratio associated with mild comorbidity was 1.21 (95% confidence interval [CI], 1.13-1.30), moderate comorbidity was 1.86 (95% CI, 1.73-2.00), and severe comorbidity was 2.56 (95% CI, 2.35-2.81). Adjusted Kaplan-Meier survival curves revealed that at any point in time the patients with more severe levels of comorbidity had worse survival (partial chi2(3) due to comorbidity, 523.54; P<.001). Model discrimination ranged from 0.71 for head and neck to 0.86 for prostate cancers. CONCLUSIONS: Comorbidity is an important independent prognostic factor for patients with cancer. The inclusion of comorbidity in hospital-based cancer registries will increase the value and use of observational research.
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
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
The pre-therapeutic classification of co-morbidity in chronic disease
Feinstein, A. R. (1970) · Journal of Chronic Diseases · doi:10.1016/0021-9681(70)90054-8 · Cited by 1,544 · cited 1×
“These conditions and diseases, which exist before cancer diagnosis and are not adverse effects of cancer treatment, are generally referred to as comorbidities.(2) While a routine consideration in selecting treatment and clinical decisionmaking, comorbidity is generally not considered in the design of cancer data sets…”
Background
Cited by
Sorror, M. L., Maris, M. B., Storb, R., Baron, F., Sandmaier, B. M., Maloney, D. G., & Storer, B. (2005) · Blood · doi:10.1182/blood-2005-05-2004 · Cited by 2,969
Enzalutamide with Standard First-Line Therapy in Metastatic Prostate Cancer
Davis, I. D., Martin, A. J., Stockler, M. R., Begbie, S., Chi, K. N., Chowdhury, S., Coskinas, X., Frydenberg, M., Hague, W. E., Horvath, L. G., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1903835 · Cited by 1,633
Comprehensive geriatric assessment for older patients with cancer
Extermann, M., & Hurria, A. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2007.10.6559 · Cited by 875
Physical activity and survival after colorectal cancer diagnosis
Meyerhardt, J. A., Giovannucci, E. L., Holmes, M. D., Chan, A. T., Chan, J. A., Colditz, G. A., & Fuchs, C. S. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2006.06.0855 · Cited by 857
Maione, P., Perrone, F., Gallo, C., Manzione, L., Piantedosi, F., Barbera, S., Cigolari, S., Rosetti, F., Piazza, E., Robbiati, S. F., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.02.527 · Cited by 478
Metadata
- Authors
- Piccirillo, J. F.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2004-05-26
- Volume
- 291
- Issue
- 20
- Pages
- 2441
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W1997468904
- Cited by
- 1,205
- References
- 2
- FWCI
- 20.26
- 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: Prognostic Importance of Comorbidity in a Hospital-Based Cancer Registry. https://app.cochat.ai/papers/10.1001/jama.291.20.2441
- The paper
- Piccirillo, J. F. (2004). Prognostic Importance of Comorbidity in a Hospital-Based Cancer Registry. JAMA. https://doi.org/10.1001/jama.291.20.2441
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.