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Record W4237808333 · doi:10.14740/jmc2122w

Isolated Mediastinal Kocuria rosea Infection Mimicking Malignancies

2015· article· en· W4237808333 on OpenAlexvenueno aff
Alexander Emmert, Robert Franke, Hanibal Bohnenberger, Carsten‐Oliver Sahlmann, Friedrich A. Schöndube, Michael Egan, Theodor Tirilomis, Martin Friedrich, Bernhard C. Danner, Marc Hinterthaner

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiphtheria, Corynebacterium, and Tetanus
Canadian institutionsnot available
FundersDeutsche Forschungsgemeinschaft
KeywordsMedicineHistopathologyMediastinoscopyLymphBiopsyThoracotomyMediastinumDifferential diagnosisRadiologyAsymptomaticPathologyLymph nodeLymphatic systemSurgery

Abstract

fetched live from OpenAlex

Isolated mediastinal Kocuria rosea infection is a rare condition and presentation can be variable. We report an unusual case of Kocuria rosea infection which presented as solitary pulmonary nodules and isolated lymph node swelling, entirely confined within the tracheal bifurcation and 18-fluoredeoxyglucose position emission tomography and computed tomography (18FDG PET/CT)-avid, thereby mimicking a neoplastic lesion. Owing to the large differential diagnosis, which includes diseases such as pulmonary neoplasia and lymph node metastases, a biopsy via mediastinoscopy was to be attempted, so hopefully avoiding thoracotomy. Histopathology analysis of the resected mediastinal lymph nodes (MLNs) demonstrated no malignant cells, but rather necrotizing MLNs, which is classically associated with Kocuria rosea infection. The patient was asymptomatic and biopsy allowed a precise diagnosis. Kocuria rosea infection is rare; it should be considered when FDG PET shows intense FDG uptake in non-regionally swollen lymph nodes. J Med Cases. 2015;6(8):339-341 doi: http://dx.doi.org/10.14740/jmc2122w

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.290
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical CasesSame topicDiphtheria, Corynebacterium, and TetanusFrench-language works237,207