The DOI matches its Crossref record.
Respiratory Function in Disease.
Abstract
This is a book of major importance in the field of chest diseases. First, its purpose is unique: to explain and interpret the physiological disorders of the respiratory system in disease states. No other book attacks this job so precisely. The widespread recent interest in clinical pulmonary physiology makes this task a large one. The authors consider the work an extension of earlier efforts at McGill and dedicate it to the memory of Jonathan Meakins. It is indeed a handsome tribute! Comparison with the first edition reveals that the text has been rewritten completely without much additional length. Second, the book is masterful for its reduction of difficult concepts to simple, understandable explanations. The authors write for the physician and not for the graduate student in physiology. The outstanding parts of the book are chapters 2 and 3 which describe normal and applied pulmonary physiology, chapters 6 and 7 on
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.
Integrity signals
Registry
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.
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
Ventilation with end-expiratory pressure in acute lung disease
Falke, K. J., Pontoppidan, H., Kumar, A., Leith, D. E., Geffin, B., & Laver, M. B. (1972) · Journal of Clinical Investigation · doi:10.1172/jci107042 · Cited by 435
Kronenberg, R. S., & Drage, C. W. (1973) · Journal of Clinical Investigation · doi:10.1172/jci107363 · Cited by 394
Tobin, M. J., Chadha, T. S., Jenouri, G., Birch, S. J., Gazeroglu, H. B., & Sackner, M. A. (1983) · Chest · doi:10.1378/chest.84.3.286 · Cited by 357
Speech Breathing in Parkinson’s Disease
Solomon, N. P., & Hixon, T. J. (1993) · Journal of Speech, Language, and Hearing Research · doi:10.1044/jshr.3602.294 · Cited by 227
Metadata
- Authors
- Pierce, J. A.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 1972-07-01
- Volume
- 130
- Issue
- 1
- Pages
- 154
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2048856890
- Cited by
- 303
- References
- 0
- FWCI
- 41.10
- 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: Respiratory Function in Disease. https://app.cochat.ai/papers/10.1001/archinte.1972.03650010132038
- The paper
- Pierce, J. A. (1972). Respiratory Function in Disease. Archives of Internal Medicine. https://doi.org/10.1001/archinte.1972.03650010132038
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.