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Record W2800957666 · doi:10.1136/bcr-2017-222477

Ribavirin-induced anaemia reduced tacrolimus level in a hepatitis C patient receiving haemodialysis

2018· article· en· W2800957666 on OpenAlexaff
Hin-Yee Liu, Catherine Cheung, Susan E. Cooper

Bibliographic record

VenueBMJ Case Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsFraser Health
Fundersnot available
KeywordsMedicineRibavirinSofosbuvirTacrolimusInternal medicineGastroenterologyHepatitis C virusHepatitis CSurgeryTransplantationVirusImmunology

Abstract

fetched live from OpenAlex

A 37-year-old man with hepatitis C virus (HCV) genotype 3A developed renal failure. In 2007, the patient received a renal transplant and started receiving tacrolimus (Tac); the transplant subsequently failed. In April 2015, the patient restarted haemodialysis and in May initiated sofosbuvir 400 mg and ribavirin 400 mg daily. Baseline Tac level was 6.6 ng/mL and haemoglobin (Hb) was 10.3 g/dL. The patient then left the country for vacation and Hb was found to be dramatically low at 3.7 g/dL on return on 5 August. Ribavirin was put on hold, while darbepoetin dose was increased. On 23 August, Tac level was found undetectable; hence, dosage was increased. Hb eventually bounced back to >10 g/dL in October and Tac to 7.2 ng/mL; ribavirin was restarted at 200 mg three times weekly. HCV RNA level was undetectable at 3 months and remained undetectable 12 weeks after therapy finished.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.184
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.379
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.

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

Citations2
Published2018
Admission routes1
Has abstractyes

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