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Lymphadenopathy Due to Penicillium Marneffei Infection: Diagnosis by Fine Needle Aspiration Cytology

2002· article· en· W2045892606 on OpenAlexaff
Benjaporn Chaiwun, Surapan Khunamornpong, Chusak Sirivanichai, Samreung Rangdaeng, Khuanchai Supparatpinyo, J. Settakorn, Charin Ya‐In, Paul S. Thorner

Bibliographic record

VenueModern Pathology · 2002
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsUniversity of TorontoSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsPenicillium marneffeiFine-needle aspirationMedicineBiopsyPathologyLymphomaCytologyOpportunistic infectionHuman immunodeficiency virus (HIV)ImmunologyViral diseaseCoinfection

Abstract

fetched live from OpenAlex

Penicillium marneffei is an opportunistic fungal infection that usually causes disseminated disease, mainly in immunocompromised individuals, especially those with HIV infection. Untreated cases are usually fatal. Diagnosis is traditionally made by biopsy and/or culture; successful diagnosis by fine needle aspiration (FNA) has only been reported once. We present eight cases of HIV-infected patients with lymphadenopathy caused by P. marneffei infection, in which the diagnosis was made by FNA. In all cases, intracellular and extracellular yeast forms were visualized, and the characteristic cross-septation of P. marneffei was highlighted by GMS staining. All diagnoses were confirmed by culture. Anti-fungal treatment for P. marneffei was initiated, resulting in marked clinical improvement. We conclude that a diagnosis of lymphadenopathy caused by P. marneffei can reliably be made by FNA. The diagnosis is more rapid than biopsy or culture, allowing rapid institution of therapy, particularly important in immunocompromised patients. In all our cases, not only were lymphoma and other causes of lymphadenopathy ruled out, but also the necessity for an open surgical biopsy was obviated. This can be especially beneficial to patients (e.g., three in our study) in which lymphadenopathy is confined to deep intra-abdominal nodes.

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)0.000
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 score0.150
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.001

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 head0.027
GPT teacher head0.258
Teacher spread0.231 · 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

Citations38
Published2002
Admission routes1
Has abstractyes

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