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Record W4319755966 · doi:10.33590/emj/10089143

Marantic Endocarditis and Lung Adenocarcinoma with Brain Metastasis: A Diagnostic Conundrum

2023· article· en· W4319755966 on OpenAlexaff
M. S. Brunda, Arushi Mohan, Anant Patil, Supriya Indi, Prakash Doraiswamy, Rishi Chowdhary

Bibliographic record

VenueEMJ Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsASTER
Fundersnot available
KeywordsMedicineEndocarditisAdenocarcinomaTransesophageal echocardiogramLungBrain metastasisInfective endocarditisLung cancerMetastasisRadiologySurgeryCancerInternal medicine

Abstract

fetched live from OpenAlex

Neurological symptoms such as headache and blurring of vision could be a manifestation of an underlying lung adenocarcinoma. The objective of this case report is to unveil the possible differentials and processes involved in the diagnosis of marantic endocarditis. A 57-year old male with blurring of vision and brain CT revealing multiple abscesses, sterile on culture, was treated as per guidelines. However, the patient had recurrent complaints that reinforced recurrent admissions and the patient was found to be COVID-19 positive during the pandemic when a routine test was performed in the emergency department. Suspicious lesions on the chest X-ray were further scrutinised and the patient was diagnosed with lung adenocarcinoma. To further investigate the sterile cultures in the brain, a cardiologist’s opinion was taken and a transthoracic echocardiogram was done, which was unremarkable. The increased suspicion for non-infective endocarditis necessitated a transoesophageal echocardiogram, which was positive for vegetations on the aortic valve. The patient was treated with anticoagulants and chemotherapy. In conclusion, in patients with CT findings of abscesses and sterile cultures, it is crucial to investigate the possible differentials in a meticulous fashion, as there could be an undiagnosed lung cancer in a non-smoker and there is a rare possibility of a sterile vegetation on the aortic valve, as was seen in the authors’ case.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.016
GPT teacher head0.309
Teacher spread0.294 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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