MétaCan
Menu
Back to cohort

PULMONARY ECHINOCOCCOSIS WITH EXTENSION TO SPLEEN AND LIVER IN A PATIENT WITH HAIRY CELL LEUKAEMIA AT THIRD RELAPSE

2022· article· en· W4285282005 on OpenAlexaff
M.C. Garcia-Blanco, A. Rumoroso-Garcia, Mónica Chapa-Ibargüengoitia, Ernesto Roldán-Valadéz

Bibliographic record

VenueRussian Electronic Journal of Radiology · 2022
Typearticle
Languageen
FieldMedicine
TopicParasitic infections in humans and animals
Canadian institutionsCanadian Steel Producers Association
Fundersnot available
KeywordsMedicineEchinococcus granulosusLungEchinococcosisDiseasePathologyPneumothoraxCystic echinococcosisSpleenRadiologyHelminthiasisDifferential diagnosisEchinococcusImmunologyInternal medicine

Abstract

fetched live from OpenAlex

uman cystic echinococcosis is a widely endemic helminthic disease transmitted by dogs in livestock raising areas.It is a widely endemic helminthic disease worldwide in which humans are infected as 'aberrant' hosts by Echinococcus granulosus and develop cysts in numerous different organs.Clinicians, radiologists and pathologists should be aware of this entity and its pulmonary manifestations.Depending on their size and anatomic location, the cysts can eventually exert pressure on adjacent structures and be associated with unspecific symptoms like chronic cough, dyspnoea, pleuritic chest pain and haemoptysis.Differential diagnoses in the lungs include primary lung carcinoma and metastatic disease; related complications include pleuritis, lung abscess and pneumothorax.This report presents the imaging findings on chest X-rays and tomography of cystic echinococcosis in the liver, lungs and spleen in a patient with hairy cell leukaemia at third relapse.Images depict the initial diagnosis and six-month follow-up.We supplement the case with a brief literature review.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.222
Teacher spread0.216 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRussian Electronic Journal of RadiologySame topicParasitic infections in humans and animalsFrench-language works237,207