The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Clinical Diagnosis of Hypersensitivity Pneumonitis
Abstract
The diagnosis of hypersensitivity pneumonitis (HP) is difficult and often relies on histopathology. Our objective was to identify diagnostic criteria and to develop a clinical prediction rule for this disease. Consecutive patients presenting a condition for which HP was considered in the differential diagnosis underwent a program of simple standardized diagnostic procedures. High-resolution computed tomography scan and bronchoalveolar lavage (BAL) defined the presence or absence of HP. Patients underwent surgical lung biopsy when the computed tomography scan, BAL, and other diagnostic procedures failed to yield a diagnosis. A cohort of 400 patients (116 with HP, 284 control subjects) provided data for the rule derivation. Six significant predictors of HP were identified: (1) exposure to a known offending antigen, (2) positive precipitating antibodies to the offending antigen, (3) recurrent episodes of symptoms, (4) inspiratory crackles on physical examination, (5) symptoms occurring 4 to 8 hours after exposure, (6) and weight loss. The area under the receiver operating characteristic curve was 0.93 (95% confidence interval: 0.90-0.95). The rule retained its accuracy when validated in a separate cohort of 261 patients. The diagnosis of HP can often be made or rejected with confidence, especially in areas of high or low prevalence, respectively, without BAL or biopsy.
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
Cites
A REVIEW OF GOODNESS OF FIT STATISTICS FOR USE IN THE DEVELOPMENT OF LOGISTIC REGRESSION MODELS1
LEMESHOW, S., & HOSMER, D. W. (1982) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113284 · Cited by 1,947
Cited by
Diagnostic criteria for idiopathic pulmonary fibrosis: a Fleischner Society White Paper
Lynch, D. A., Sverzellati, N., Travis, W. D., Brown, K. K., Colby, T. V., Galvin, J. R., Goldin, J. G., Hansell, D. M., Inoue, Y., Johkoh, T., et al. (2018) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(17)30433-2 · Cited by 1,030
Self-citationAllergy Diagnostic Testing: An Updated Practice Parameter
Bernstein, I. L., Li, J. T., Bernstein, D. I., Hamilton, R., Spector, S. L., Tan, R., Sicherer, S., Golden, D. B. K., Khan, D. A., Nicklas, R. A., et al. (2008) · Annals of Allergy, Asthma & Immunology · doi:10.1016/s1081-1206(10)60305-5 · Cited by 723
Predicting Survival Across Chronic Interstitial Lung Disease
Ryerson, C. J., Vittinghoff, E., Ley, B., Lee, J. S., Mooney, J. J., Jones, K. D., Elicker, B. M., Wolters, P. J., Koth, L. L., King, T. E., et al. (2014) · Chest · doi:10.1378/chest.13-1474 · Cited by 558
A Vicious Circle of Alveolar Macrophages and Fibroblasts Perpetuates Pulmonary Fibrosis via CCL18
Prasse, A., Pechkovsky, D. V., Toews, G. B., Jungraithmayr, W., Kollert, F., Goldmann, T., Vollmer, E., Müller-Quernheim, J., & Zissel, G. (2006) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200509-1518oc · Cited by 497
Silva, C. I. S., Müller, N. L., Lynch, D. A., Curran-Everett, D., Brown, K. K., Lee, K. S., Chung, M. P., & Churg, A. (2008) · Radiology · doi:10.1148/radiol.2453061881 · Cited by 441
Self-citation
Metadata
- Authors
- Lacasse, Y., Selman, M., Costabel, U., Dalphin, J.-C., Ando, M., Morell, F., Erkinjuntti-Pekkanen, R., Müller, N., Colby, T. V., Schuyler, M., & Cormier, Y.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-10-15
- Volume
- 168
- Issue
- 8
- Pages
- 952-958
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- OpenAlex
- W2136291177
- Cited by
- 634
- References
- 1
- FWCI
- 16.18
- 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: Clinical Diagnosis of Hypersensitivity Pneumonitis. https://app.cochat.ai/papers/10.1164/rccm.200301-137oc
- The paper
- Lacasse, Y., Selman, M., Costabel, U., Dalphin, J.-C., Ando, M., Morell, F., Erkinjuntti-Pekkanen, R., Müller, N., Colby, T. V., Schuyler, M., & Cormier, Y. (2003). Clinical Diagnosis of Hypersensitivity Pneumonitis. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.200301-137oc
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.