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Record W2111111142 · doi:10.1002/dc.20741

Cytologic examination of bronchoalveolar lavage fluid from immunosuppressed patients

2007· article· en· W2111111142 on OpenAlexaff
Ali Mohammed Al-Za’abi, Scott MacDonald, William R. Geddie, Scott Boerner

Bibliographic record

VenueDiagnostic Cytopathology · 2007
Typearticle
Languageen
FieldMedicine
TopicPneumocystis jirovecii pneumonia detection and treatment
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsBronchoalveolar lavageCytologyMedicinePathologyDirect examinationCytomegalovirusStainingCytopathologyPneumocystis cariniiLungHerpesviridaeViral diseasePneumoniaVirusImmunologyInternal medicinePneumocystis jirovecii

Abstract

fetched live from OpenAlex

Pulmonary infiltrates in immunocompromised patients frequently represent infections. This study was undertaken to evaluate cytologic examination of bronchoalveolar lavage samples and the value of different preparations and silver staining. Over 6 mo, 336 samples were collected from 155 immunosuppressed patients in whom both cytologic and microbiologic studies were performed. In 27 samples, the cytology, microbiology or both demonstrated the presence of infectious agents. In four cases, cytology identified neoplastic process. Cytology had a sensitivity of 34.6% for detection of infection, which increased to 42.9% when Cytomegalovirus was excluded. Cytology detected 6 of 15 cases of Aspergillus, including three cases not detected by microbiology and 3 of 4 cases of Pneumocystis, but did not identify any of the Cytomegalovirus cases. The type of preparations did not affect detection of the organism when present in cytologic samples and silver staining did not appear to have added value in examination of these samples.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.242
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2007
Admission routes1
Has abstractyes

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