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CUMULATIVE ILLNESS RATING SCALE
Abstract
A bstract : A Cumulative Illness Rating Scale, designed to meet the need for a brief, comprehensive and reliable instrument for assessing physical impairment, has been developed and tested. The scale format provides for 13 relatively independent areas grouped under body systems. Ratings are made on a 5‐point “degree of severity” scale, ranging from “none” to “extremely severe.” Findings, in terms of reliability and validity, reflect statistical significance at the P < .01 level. As a rapid assessment technique which is objective and easily quantified, the scale is well suited to a variety of research uses.
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Metadata
- Authors
- LINN, B. S., LINN, M. W., & GUREL, L.
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 1968-05
- Volume
- 16
- Issue
- 5
- Pages
- 622-626
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- OpenAlex
- W2018713883
- Cited by
- 2,304
- References
- 0
- FWCI
- 2.57
- 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 ›
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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.
