The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
PICADAR: a diagnostic predictive tool for primary ciliary dyskinesia
Open accessAbstract
Symptoms of primary ciliary dyskinesia (PCD) are nonspecific and guidance on whom to refer for testing is limited. Diagnostic tests for PCD are highly specialised, requiring expensive equipment and experienced PCD scientists. This study aims to develop a practical clinical diagnostic tool to identify patients requiring testing. Patients consecutively referred for testing were studied. Information readily obtained from patient history was correlated with diagnostic outcome. Using logistic regression, the predictive performance of the best model was tested by receiver operating characteristic curve analyses. The model was simplified into a practical tool (PICADAR) and externally validated in a second diagnostic centre. Of 641 referrals with a definitive diagnostic outcome, 75 (12%) were positive. PICADAR applies to patients with persistent wet cough and has seven predictive parameters: full-term gestation, neonatal chest symptoms, neonatal intensive care admittance, chronic rhinitis, ear symptoms, situs inversus and congenital cardiac defect. Sensitivity and specificity of the tool were 0.90 and 0.75 for a cut-off score of 5 points. Area under the curve for the internally and externally validated tool was 0.91 and 0.87, respectively. PICADAR represents a simple diagnostic clinical prediction rule with good accuracy and validity, ready for testing in respiratory centres referring to PCD centres.
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
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638
Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating
Steyerberg, E. W. (2019) · Statistics for Biology and Health · doi:10.1007/978-3-030-16399-0 · Cited by 3,281
Steyerberg, E. W. (2009) · Statistics for Biology and Health · doi:10.1007/978-0-387-77244-8 · Cited by 1,491
A Human Syndrome Caused by Immotile Cilia
Afzelius, B. A. (1976) · Science · doi:10.1126/science.1084576 · Cited by 1,257
Primary Ciliary Dyskinesia: Diagnostic and Phenotypic Features
Noone, P. G., Leigh, M. W., Sannuti, A., Minnix, S. L., Carson, J. L., Hazucha, M., Zariwala, M. A., & Knowles, M. R. (2004) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200303-365oc · Cited by 843
Primary ciliary dyskinesia: a consensus statement on diagnostic and treatment approaches in children
Barbato, A., Frischer, T., Kuehni, C. E., Snijders, D., Azevedo, I., Baktai, G., Bartoloni, L., Eber, E., Escribano, A., Haarman, E., et al. (2009) · European Respiratory Journal · doi:10.1183/09031936.00176608 · Cited by 528
Self-citationKnowles, M. R., Daniels, L. A., Davis, S. D., Zariwala, M. A., & Leigh, M. W. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201301-0059ci · Cited by 517
Kennedy, M. P., Omran, H., Leigh, M. W., Dell, S., Morgan, L., Molina, P. L., Robinson, B. V., Minnix, S. L., Olbrich, H., Severin, T., et al. (2007) · Circulation · doi:10.1161/circulationaha.106.649038 · Cited by 457
Afzelius, B. (2004) · The Journal of Pathology · doi:10.1002/path.1652 · Cited by 378
Factors influencing age at diagnosis of primary ciliary dyskinesia in European children
Kuehni, C. E., Frischer, T., Strippoli, M.-P. F., Maurer, E., Bush, A., Nielsen, K. G., Escribano, A., Lucas, J. S. A., Yiallouros, P., Omran, H., et al. (2010) · European Respiratory Journal · doi:10.1183/09031936.00001010 · Cited by 364
Self-citation
Cited by
International consensus statement on allergy and rhinology: rhinosinusitis 2021
Orlandi, R. R., Kingdom, T. T., Smith, T. L., Bleier, B., DeConde, A., Luong, A. U., Poetker, D. M., Soler, Z., Welch, K. C., Wise, S. K., et al. (2021) · International Forum of Allergy & Rhinology · doi:10.1002/alr.22741 · Cited by 959
European Respiratory Society guidelines for the diagnosis of primary ciliary dyskinesia
Lucas, J. S., Barbato, A., Collins, S. A., Goutaki, M., Behan, L., Caudri, D., Dell, S., Eber, E., Escudier, E., Hirst, R. A., et al. (2017) · European Respiratory Journal · doi:10.1183/13993003.01090-2016 · Cited by 698
Self-citationWallmeier, J., Nielsen, K. G., Kuehni, C. E., Lucas, J. S., Leigh, M. W., Zariwala, M. A., & Omran, H. (2020) · Nature Reviews Disease Primers · doi:10.1038/s41572-020-0209-6 · Cited by 403
Self-citationAdvances in the Genetics of Primary Ciliary Dyskinesia
Horani, A., & Ferkol, T. W. (2018) · Chest · doi:10.1016/j.chest.2018.05.007 · Cited by 147
Primary ciliary dyskinesia: a major player in a bigger game
Bhatt, R., & Hogg, C. (2020) · Breathe · doi:10.1183/20734735.0047-2020 · Cited by 25
Self-citation
Metadata
- Authors
- Behan, L., Dimitrov, B. D., Kuehni, C. E., Hogg, C., Carroll, M., Evans, H. J., Goutaki, M., Harris, A., Packham, S., Walker, W. T., & Lucas, J. S.
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2016-02-25
- Volume
- 47
- Issue
- 4
- Pages
- 1103-1112
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2319697074
- Cited by
- 287
- References
- 29
- FWCI
- 20.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: PICADAR: a diagnostic predictive tool for primary ciliary dyskinesia. https://app.cochat.ai/papers/10.1183/13993003.01551-2015
- The paper
- Behan, L., Dimitrov, B. D., Kuehni, C. E., Hogg, C., Carroll, M., Evans, H. J., Goutaki, M., Harris, A., Packham, S., Walker, W. T., & Lucas, J. S. (2016). PICADAR: a diagnostic predictive tool for primary ciliary dyskinesia. European Respiratory Journal. https://doi.org/10.1183/13993003.01551-2015
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.
