Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 159

The DOI matches its Crossref record.

Elderly Patients in Surgical Workloads: A Population-Based Analysis

Etzioni, David A., Liu, Jerome H., O'Connell, Jessica B., Maggard, Melinda A., Ko, Clifford Y.·2003·The American Surgeon

Abstract

Elderly (80+ year old) individuals are the fastest-growing segment of the U.S. population. The objective of this study was to use population-based data to examine trends in the number of elderly undergoing major general, vascular, and cardiothoracic surgical procedures. California inpatient data from 1990–2000 was used to identify patients undergoing six procedures: abdominal aortic aneurysm repair (AAA), coronary artery bypass graft (CABG), carotid endarterectomy (CEA), colon resections, lung resections, and pancreatic resections. Despite comprising only 2.7 per cent of the California population, elderly patients were a significant percentage (6–22%) of the caseloads for the six procedures examined. For all six procedures, the percentage of patients that were elderly increased during the study period. The age-specific incidence rates for elderly individuals increased significantly for three of these procedures (CABG, CEA, lung resection), remained unchanged for two (AAA, pancreas resection), and decreased for one (colon resection). Elderly patients are a large and growing part of surgical caseloads. In the near future, the number of elderly individuals in the California state and the U.S. populations will increase dramatically (41% and 35% between 2000 and 2020). To provide the best quality of care, surgeons should embrace research, training, and educational opportunities regarding the treatment of elderly patients.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/000313480306901109

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 159

Metadata

Authors
Etzioni, D. A., Liu, J. H., O'Connell, J. B., Maggard, M. A., & Ko, C. Y.
Venue
The American Surgeon
Published
2003-11
Volume
69
Issue
11
Pages
961-965
ISSN
  • 0003-1348 (ISSN-L)
  • 1555-9823
OpenAlex
W2405589311
Cited by
159
References
0
FWCI
1.71
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: Elderly Patients in Surgical Workloads: A Population-Based Analysis. https://app.cochat.ai/papers/10.1177/000313480306901109
The paper
Etzioni, D. A., Liu, J. H., O'Connell, J. B., Maggard, M. A., & Ko, C. Y. (2003). Elderly Patients in Surgical Workloads: A Population-Based Analysis. The American Surgeon. https://doi.org/10.1177/000313480306901109

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.