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A Clinical Evaluation of Serum Ferritin as an Index of Iron Stores

Lipschitz, David A., Cook, James D., Finch, Clement A.·1974·New England Journal of Medicine

Abstract

Abstract Measurements of serum ferritin were correlated with other hematologic laboratory indexes in 250 hospitalized subjects with anemia or disorders in iron metabolism. A geometric mean value of 4 ng per milliliter was found in 32 patients with uncomplicated iron-deficiency anemia, and one of 2930 ng per milliliter in 23 with iron overload. Among subjects with anemia from causes otherthan iron deficiency, the mean serum ferritin level was increased to 180 ng per milliliter (geometric mean in normal controls, 59 ng per milliliter, with a 95 per cent confidence range of 12 to 300 ng per milliliter), presumably reflecting the transport of red-cell iron to stores. The wide range of values found was shown to be related primarily to the magnitude of body iron stores in each case as evaluated by bone-marrow hemosiderin. In addition, however, inflammation, liver disease and increased red-cell turnover were shown to elevate the serum ferritin concentration to a degree disproportionate to that of iron stores. (N...

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Metadata

Authors
Lipschitz, D. A., Cook, J. D., & Finch, C. A.
Venue
New England Journal of Medicine
Published
1974-05-30
Volume
290
Issue
22
Pages
1213-1216
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W1996648045
Cited by
938
References
0
FWCI
18.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Clinical Evaluation of Serum Ferritin as an Index of Iron Stores. https://app.cochat.ai/papers/10.1056/nejm197405302902201
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Lipschitz, D. A., Cook, J. D., & Finch, C. A. (1974). A Clinical Evaluation of Serum Ferritin as an Index of Iron Stores. New England Journal of Medicine. https://doi.org/10.1056/nejm197405302902201

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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.