The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Self‐reported olfactory loss associates with outpatient clinical course in COVID‐19
Open accessAbstract
Background: Rapid spread of the severe acute respiratory syndrome‐coronavirus‐2 (SARS‐CoV‐2) virus has left many health systems around the world overwhelmed, forcing triaging of scarce medical resources. Identifying indicators of hospital admission for coronavirus disease 2019 (COVID‐19) patients early in the disease course could aid the efficient allocation of medical interventions. Self‐reported olfactory impairment has recently been recognized as a hallmark of COVID‐19 and may be an important predictor of clinical outcome. Methods: A retrospective review of all patients presenting to a San Diego Hospital system with laboratory‐confirmed positive COVID‐19 infection was conducted with evaluation of olfactory and gustatory function and clinical disease course. Univariable and multivariable logistic regression were performed to identify risk factors for hospital admission and anosmia. Results: A total of 169 patients tested positive for COVID‐19 disease between March 3 and April 8, 2020. Olfactory and gustatory data were obtained for 128 (75.7%) of 169 subjects, of which 26 (20.1%) of 128 required hospitalization. Admission for COVID‐19 was associated with intact sense of smell and taste, increased age, diabetes, and subjective and objective parameters associated with respiratory failure. On adjusted analysis, anosmia was strongly and independently associated with outpatient care (adjusted odds ratio [aOR] 0.09; 95% CI, 0.01‐0.74), whereas positive findings of pulmonary infiltrates and/or pleural effusion on chest radiograph (aOR 8.01; 95% CI, 1.12‐57.49) was strongly and independently associated with admission. Conclusion: Normosmia is an independent predictor of admission in COVID‐19 cases. Smell loss in COVID‐19 may be associated with a milder clinical course.
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
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Wu, Z., & McGoogan, J. M. (2020) · JAMA · doi:10.1001/jama.2020.2648 · Cited by 17,016
Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China
Mao, L., Jin, H., Wang, M., Hu, Y., Chen, S., He, Q., Chang, J., Hong, C., Zhou, Y., Wang, D., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1127 · Cited by 7,166
Grasselli, G., Zangrillo, A., Zanella, A., Antonelli, M., Cabrini, L., Castelli, A., Cereda, D., Coluccello, A., Foti, G., Fumagalli, R., et al. (2020) · JAMA · doi:10.1001/jama.2020.5394 · Cited by 5,469
Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., Ji, R., Wang, H., Wang, Y., & Zhou, Y. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.03.017 · Cited by 4,206
Lechien, J. R., Chiesa-Estomba, C. M., De Siati, D. R., Horoi, M., Le Bon, S. D., Rodriguez, A., Dequanter, D., Blecic, S., El Afia, F., Distinguin, L., et al. (2020) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-020-05965-1 · Cited by 2,668
Covid-19 in Critically Ill Patients in the Seattle Region — Case Series
Bhatraju, P. K., Ghassemieh, B. J., Nichols, M., Kim, R., Jerome, K. R., Nalla, A. K., Greninger, A. L., Pipavath, S., Wurfel, M. M., Evans, L., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2004500 · Cited by 2,583
Real-time tracking of self-reported symptoms to predict potential COVID-19
Menni, C., Valdes, A. M., Freidin, M. B., Sudre, C. H., Nguyen, L. H., Drew, D. A., Ganesh, S., Varsavsky, T., Cardoso, M. J., El-Sayed Moustafa, J. S., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0916-2 · Cited by 1,517
Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations
Phua, J., Weng, L., Ling, L., Egi, M., Lim, C.-M., Divatia, J. V., Shrestha, B. R., Arabi, Y. M., Ng, J., Gomersall, C. D., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30161-2 · Cited by 1,509
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
Self-citationMore Than Smell—COVID-19 Is Associated With Severe Impairment of Smell, Taste, and Chemesthesis
Parma, V., Ohla, K., Veldhuizen, M. G., Niv, M. Y., Kelly, C. E., Bakke, A. J., Cooper, K. W., Bouysset, C., Pirastu, N., Dibattista, M., et al. (2020) · Chemical Senses · doi:10.1093/chemse/bjaa041 · Cited by 508
Self-citationThe SARS-CoV-2 as an instrumental trigger of autoimmunity
Dotan, A., Muller, S., Kanduc, D., David, P., Halpert, G., & Shoenfeld, Y. (2021) · Autoimmunity Reviews · doi:10.1016/j.autrev.2021.102792 · Cited by 494
Louapre, C., Collongues, N., Stankoff, B., Giannesini, C., Papeix, C., Bensa, C., Deschamps, R., Créange, A., Wahab, A., Pelletier, J., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.2581 · Cited by 455
Anosmia in COVID-19: Underlying Mechanisms and Assessment of an Olfactory Route to Brain Infection
Butowt, R., & von Bartheld, C. S. (2021) · The Neuroscientist · doi:10.1177/1073858420956905 · Cited by 345
Metadata
- Authors
- Yan, C. H., Faraji, F., Prajapati, D. P., Ostrander, B. T., & DeConde, A. S.
- Venue
- International Forum of Allergy & Rhinology
- Publisher
- Wiley
- Published
- 2020-06-07
- Volume
- 10
- Issue
- 7
- Pages
- 821-831
- ISSN
- 2042-6976 (ISSN-L)
- 2042-6984
- OpenAlex
- W3020006405
- Cited by
- 359
- References
- 28
- FWCI
- 26.00
- 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: Self‐reported olfactory loss associates with outpatient clinical course in COVID‐19. https://app.cochat.ai/papers/10.1002/alr.22592
- The paper
- Yan, C. H., Faraji, F., Prajapati, D. P., Ostrander, B. T., & DeConde, A. S. (2020). Self‐reported olfactory loss associates with outpatient clinical course in COVID‐19. International Forum of Allergy & Rhinology. https://doi.org/10.1002/alr.22592
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.