The DOI matches its Crossref record.
Detection of Pneumocystis jiroveci in Respiratory Specimens by Four Staining Methods
Open accessAbstract
We examined four staining methods on replicate smears of 313 respiratory specimens submitted for Pneumocystis jiroveci examination. The sensitivity and specificity of Calcofluor white stain (CW) were 73.8 and 99.6%, respectively. The sensitivity and specificity of Grocott-Gomori methenamine silver stain (GMS) were 79.4 and 99.2%, respectively. The sensitivity and specificity of Diff-Quik stain were 49.2 and 99.6%, respectively. The sensitivity and specificity of Merifluor Pneumocystis stain were 90.8 and 81.9%, respectively. Only CW and GMS had positive and negative predictive values of >90%.
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
Fishman, J. A., Gans, H., & Practice, T. A. I. D. C. O. (2019) · Clinical Transplantation · doi:10.1111/ctr.13587 · Cited by 293
Denning, D. W. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0468 · Cited by 117
Pneumocystis Pneumonia: Current Concepts in Pathogenesis, Diagnosis, and Treatment
Krajicek, B. J., Thomas, C. F., & Limper, A. H. (2009) · Clinics in Chest Medicine · doi:10.1016/j.ccm.2009.02.005 · Cited by 73
Diagnosis and Management of Pneumocystis Pneumonia in Resource-poor Settings
Oladele, R. O., Otu, A. A., Richardson, M. D., & Denning, D. W. (2018) · Journal of Health Care for the Poor and Underserved · doi:10.1353/hpu.2018.0010 · Cited by 23
Metadata
- Authors
- Procop, G. W., Haddad, S., Quinn, J., Wilson, M. L., Henshaw, N. G., Reller, L. B., Artymyshyn, R. L., Katanik, M. T., & Weinstein, M. P.
- Venue
- Journal of Clinical Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2004-07
- Volume
- 42
- Issue
- 7
- Pages
- 3333-3335
- ISSN
- 0095-1137 (ISSN-L)
- 1098-660X
- OpenAlex
- W2152668642
- Cited by
- 164
- References
- 0
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- green
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: Detection of Pneumocystis jiroveci in Respiratory Specimens by Four Staining Methods. https://app.cochat.ai/papers/10.1128/jcm.42.7.3333-3335.2004
- The paper
- Procop, G. W., Haddad, S., Quinn, J., Wilson, M. L., Henshaw, N. G., Reller, L. B., Artymyshyn, R. L., Katanik, M. T., & Weinstein, M. P. (2004). Detection of Pneumocystis jiroveci in Respiratory Specimens by Four Staining Methods. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.42.7.3333-3335.2004
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.
