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Record W2160469125 · doi:10.14740/jcgo.v4i3.343

Methyldopa Hepatotoxicity: A Paradoxical High-Risk Pregnancy

2015· article· en· W2160469125 on OpenAlexvenueno aff
Onameyore Utuama, Omofolarin B. Fasuyi, Gregory Strayhorn, Karla Lorraine Booker

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2015
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsMethyldopaMedicineDiscontinuationPregnancyJaundicePrednisoneDiabetes mellitusGestationBlood pressureObstetricsInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Alpha methyldopa is one of the preferred medications for hypertension control in pregnant women because of its low teratogenic profile. However, when pregnant women on this medication develop an acute or chronic liver damage, methyldopa is not thought to be responsible. At 18 weeks gestation of a high-risk pregnancy, a patient with chronic hypertension controlled on methyldopa 500 mg three times daily, presented with jaundice, dark-colored urine and elevated liver function enzymes. Following worsening symptoms, inconclusive radiological and negative immunological laboratory investigations, she was hospitalized and a diagnosis of drug-induced hepatotoxicity was confirmed with a liver biopsy. Her symptoms resolved with withdrawal of the offending medication and prednisone taper, which led to diabetes mellitus in pregnancy. Paradoxically, following the diagnosis and discontinuation of methyldopa, the patients’ blood pressure remained controlled off antihypertensives. J Clin Gynecol Obstet. 2015;4(3):271-274 doi: http://dx.doi.org/10.14740/jcgo343w

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)0.008
metaresearch head score (Gemma)0.043
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.043
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.005
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 head0.310
GPT teacher head0.495
Teacher spread0.185 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2015
Admission routes1
Has abstractyes

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