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Record W1976091462 · doi:10.14740/jmc.v5i5.1647

A Case of Graves’ Disease Complicated With Thyroid Storm and Acute Hepatic Failure

2014· article· en· W1976091462 on OpenAlexvenueno aff
Akinori Watanabe, Hisashi Hidaka, Tsutomu Minamino, Yoshiaki Tanaka, Juichi Takada, Yusuke Okuwaki, Takahide Nakazawa, Akitaka Shibuya, Kento Nakatani, Makoto Ohbu, Wasaburo Koizumi

Bibliographic record

VenueJournal of Medical Cases · 2014
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThyroid stormGraves' diseaseThyroid functionHeart failureDiseaseGastroenterologyInternal medicineThyroid function testsLiver functionThyroidSpontaneous bacterial peritonitisCardiologySurgeryAscites

Abstract

fetched live from OpenAlex

A 44-year-old man was transferred to our hospital because of deterioration of liver function. He was diagnosed as having Graves’ disease, congestive heart failure and cholestatic liver failure, and started treatment with oral iodine, thiamazole, diuretics and beta -blockers. The patient’s condition was complicated with thyroid storm and spontaneous bacterial peritonitis (SBP). But the treatment for Graves’ disease and SBP quickly cured the thyroid storm. Along with the improvement of the hyperthyroidism, the liver function also improved rapidly. We experienced a case of liver dysfunction that was caused by not treating Graves’ disease. The present case suggested the importance of including Graves’ disease in the differential diagnoses in cases of liver dysfunction. J Med Cases. 2014;5(5):273-278 doi: http://dx.doi.org/10.14740/jmc1647w

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)0.001
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.275
Teacher spread0.261 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical Cases→Same topicLiver Disease and Transplantation→French-language works237,207→