The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Prevalence and prognosis of unclassifiable interstitial lung disease
Open accessAbstract
The aim of this study was to determine the prevalence, characteristics and outcomes of patients with unclassifiable interstitial lung disease (ILD) and to develop a simple method of predicting disease behaviour. Unclassifiable ILD patients were identified from an ongoing longitudinal cohort. Unclassifiable ILD was diagnosed after a multidisciplinary review did not secure a specific ILD diagnosis. Clinical characteristics and outcomes were compared with idiopathic pulmonary fibrosis (IPF) and non-IPF ILDs. Independent predictors of mortality were determined using Cox proportional-hazards analysis to identify subgroups with distinct disease behaviour. Unclassifiable ILD was diagnosed in 10% of the ILD cohort (132 out of 1370 patients). The most common reason for being unclassifiable was missing histopathological assessment due to a high risk of surgical lung biopsy. Demographic and physiological features of unclassifiable ILD were intermediate between IPF and non-IPF disease controls. Unclassifiable ILD had longer survival rates when compared to IPF on adjusted analysis (hazard ratio 0.62, p = 0.04) and similar survival compared to non-IPF ILDs (hazard ratio 1.54, p = 0.12). Independent predictors of survival in unclassifiable ILD included diffusion capacity of the lung for carbon monoxide (p = 0.001) and a radiological fibrosis score (p = 0.02). Unclassifiable ILD represents approximately 10% of ILD cases and has a heterogeneous clinical course, which can be predicted using clinical and radiological variables.
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 new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Miller, M. R., Hankinson, J., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Crapo, R., Enright, P., van der Grinten, C. P. M., Gustafsson, P., et al. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00034805 · Cited by 15,627
A Proportional Hazards Model for the Subdistribution of a Competing Risk
Fine, J. P., & Gray, R. J. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474144 · Cited by 14,290
Raghu, G., Collard, H. R., Egan, J. J., Martinez, F. J., Behr, J., Brown, K. K., Colby, T. V., Cordier, J.-F., Flaherty, K. R., Lasky, J. A., et al. (2011) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2009-040gl · Cited by 7,186
Self-citationProportional hazards tests and diagnostics based on weighted residuals
GRAMBSCH, P. M., & THERNEAU, T. M. (1994) · Biometrika · doi:10.1093/biomet/81.3.515 · Cited by 5,885 · cited 1×
“Assumption of proportional hazards was assessed using Schoenfeld’s residuals.[12] Disease progression”
MethodFleischner Society: Glossary of Terms for Thoracic Imaging
Hansell, D. M., Bankier, A. A., MacMahon, H., McLoud, T. C., Müller, N. L., & Remy, J. (2008) · Radiology · doi:10.1148/radiol.2462070712 · Cited by 4,198
(2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.165.2.ats01 · Cited by 4,196
Standardisation of the single-breath determination of carbon monoxide uptake in the lung
MacIntyre, N., Crapo, R. O., Viegi, G., Johnson, D. C., van der Grinten, C. P. M., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Enright, P., et al. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00034905 · Cited by 2,255
Wells, A. U., Desai, S. R., Rubens, M. B., Goh, N. S. L., Cramer, D., Nicholson, A. G., Colby, T. V., du Bois, R. M., & Hansell, D. M. (2003) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2111053 · Cited by 686
Idiopathic Interstitial Pneumonia: What Is the Effect of a Multidisciplinary Approach to Diagnosis?
Flaherty, K. R., King, T. E., Raghu, G., Lynch, J. P., Colby, T. V., Travis, W. D., Gross, B. H., Kazerooni, E. A., Toews, G. B., Long, Q., et al. (2004) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200402-147oc · Cited by 673
Self-citation
Cited by
Travis, W. D., Costabel, U., Hansell, D. M., King, T. E., Lynch, D. A., Nicholson, A. G., Ryerson, C. J., Ryu, J. H., Selman, M., Wells, A. U., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201308-1483st · Cited by 4,290
Self-citationRaghu, G., Remy-Jardin, M., Richeldi, L., Thomson, C. C., Inoue, Y., Johkoh, T., Kreuter, M., Lynch, D. A., Maher, T. M., Martinez, F. J., et al. (2022) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202202-0399st · Cited by 2,957
Self-citationRicheldi, L., Collard, H. R., & Jones, M. G. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30866-8 · Cited by 2,020
Self-citationSpectrum of fibrotic lung diseases
Wijsenbeek, M., & Cottin, V. (2020) · New England Journal of Medicine · doi:10.1056/nejmra2005230 · Cited by 736
Maher, T. M., Corte, T. J., Fischer, A., Kreuter, M., Lederer, D. J., Molina-Molina, M., Axmann, J., Kirchgaessler, K.-U., Samara, K., Gilberg, F., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(19)30341-8 · Cited by 629
Metadata
- Authors
- Ryerson, C. J., Urbania, T. H., Richeldi, L., Mooney, J. J., Lee, J. S., Jones, K. D., Elicker, B. M., Koth, L. L., King, T. E., Wolters, P. J., & Collard, H. R.
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2012-12-06
- Volume
- 42
- Issue
- 3
- Pages
- 750-757
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2157572334
- Cited by
- 310
- References
- 21
- FWCI
- 10.43
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Prevalence and prognosis of unclassifiable interstitial lung disease. https://app.cochat.ai/papers/10.1183/09031936.00131912
- The paper
- Ryerson, C. J., Urbania, T. H., Richeldi, L., Mooney, J. J., Lee, J. S., Jones, K. D., Elicker, B. M., Koth, L. L., King, T. E., Wolters, P. J., & Collard, H. R. (2013). Prevalence and prognosis of unclassifiable interstitial lung disease. European Respiratory Journal. https://doi.org/10.1183/09031936.00131912
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.
