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Cited by 280

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Establishing Reference Intervals for Clinical Laboratory Test Results: Is There a Better Way?

Open access
Katayev, Alex, Balciza, Claudiu, Seccombe, David W.·2010·American Journal of Clinical Pathology

Abstract

Reference intervals are essential for clinical laboratory test interpretation and patient care. Methods for estimating them are expensive, difficult to perform, often inaccurate, and nonreproducible. A computerized indirect Hoffmann method was studied for accuracy and reproducibility. The study used data collected retrospectively for 5 analytes without exclusions and filtering from a nationwide chain of clinical reference laboratories in the United States. The accuracy was assessed by the comparability of reference intervals as calculated by the new method with published peer-reviewed studies, and reproducibility was assessed by the comparability of 2 sets of reference intervals derived from 2 different data sets. There was no statistically significant difference between the calculated and published reference intervals or between the 2 sets of intervals that were derived from different data sets. A computerized Hoffmann method for indirect estimation of reference intervals using stored test results is proved to be accurate and reproducible.

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Crossref · 10.1309/ajcpn5bmtsf1cdyp

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Metadata

Authors
Katayev, A., Balciza, C., & Seccombe, D. W.
Venue
American Journal of Clinical Pathology
Published
2010-02
Volume
133
Issue
2
Pages
180-186
ISSN
  • 0002-9173 (ISSN-L)
  • 1943-7722
OpenAlex
W1980432185
Cited by
280
References
17
FWCI
5.14
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Establishing Reference Intervals for Clinical Laboratory Test Results: Is There a Better Way? https://app.cochat.ai/papers/10.1309/ajcpn5bmtsf1cdyp
The paper
Katayev, A., Balciza, C., & Seccombe, D. W. (2010). Establishing Reference Intervals for Clinical Laboratory Test Results: Is There a Better Way? American Journal of Clinical Pathology. https://doi.org/10.1309/ajcpn5bmtsf1cdyp

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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.