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Cited by 439

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Laboratory methods and quality assurance in the Cardiovascular Health Study

Cushman, M, Cornell, E S, Howard, P R, Bovill, E G, Tracy, R P·1995·Clinical Chemistry

Abstract

The Cardiovascular Health Study is an observational cohort study of risk factors for cardiovascular disease in 5201 participants, ages > or = 65 years. We report the methods and quality-assurance results for blood procurement, processing, shipping, storage, and sample analysis used during the first examination period (May 1989-June 1990). The most frequent difficulty in phlebotomy and processing was the requirement of more than one venipuncture (in 2.6% of the participants). The CVs for control materials ranged from 0.93% for glucose to 10.7% for insulin; most were < 4%. In addition to standard quality-assurance methods, we applied two other methods: technical error calculation for replicates, and weighted linear regression to assess time trend in results of control materials. After outliers were excluded, technical error values ranged from 1.7 for uric acid to 18.8 for insulin. Factor VII and factor VIII had slight trends over the 12-month analysis period. Results of quality-assurance analyses used to resolve problems were successful, thereby improving the second laboratory examination.

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Metadata

Authors
Cushman, M., Cornell, E. S., Howard, P. R., Bovill, E. G., & Tracy, R. P.
Venue
Clinical Chemistry
Published
1995-02-01
Volume
41
Issue
2
Pages
264-270
ISSN
  • 0009-9147 (ISSN-L)
  • 1530-8561
OpenAlex
W1873738835
Cited by
439
References
1
FWCI
2.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Laboratory methods and quality assurance in the Cardiovascular Health Study. https://app.cochat.ai/papers/10.1093/clinchem/41.2.264
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Cushman, M., Cornell, E. S., Howard, P. R., Bovill, E. G., & Tracy, R. P. (1995). Laboratory methods and quality assurance in the Cardiovascular Health Study. Clinical Chemistry. https://doi.org/10.1093/clinchem/41.2.264

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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.