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Record W1998365150 · doi:10.1136/ebmed-2014-110055

ABT-450/r-ombitasvir and dasabuvir with ribavirin eliminates viraemia in most patients with HCV infection with cirrhosis

2014· letter· en· W1998365150 on OpenAlexaff
Valérie Martel‐Laferrière

Bibliographic record

VenueEvidence-Based Medicine · 2014
Typeletter
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsOmbitasvirDasabuvirMedicineRibavirinCirrhosisParitaprevirGastroenterologySofosbuvirInternal medicineLedipasvirHepatitis CChronic hepatitisVirologyVirus

Abstract

fetched live from OpenAlex

Commentary on : Poordad F, Hezode C, Trinh R, et al. ABT-450/r-ombitasvir and dasabuvir with ribavirin for hepatitis C with cirrhosis. N Engl J Med 2014;370:1973–82.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] The prevalence of hepatitis C virus (HCV) reached its peak in 1994 and is expected to decrease significantly over the next few years. However, HCV-related cirrhosis continues to increase. Razavi et al 1 predicted that decompensated cirrhosis will reach its peak in 2019. This translates into increased healthcare costs secondary to complications of cirrhosis. Patients with cirrhosis due to HCV infection are less likely to achieve a sustained virological response (SVR), even in the era of direct-acting antivirals (DAA). Only 62% of genotype-3 cirrhotics treated with sofosbuvir and ribavirin for 24 weeks achieved SVR compared with 87% of non-cirrhotics.2 Treatment of advanced cirrhosis brings increased risks of … [1]: {openurl}?query=rft.jtitle%253DN%2BEngl%2BJ%2BMed%26rft.volume%253D370%26rft.spage%253D1973%26rft_id%253Dinfo%253Adoi%252F10.1056%252FNEJMoa1402869%26rft_id%253Dinfo%253Apmid%252F24725237%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1056/NEJMoa1402869&link_type=DOI [3]: /lookup/external-ref?access_num=24725237&link_type=MED&atom=%2Febmed%2F20%2F1%2F6.atom [4]: /lookup/external-ref?access_num=000336125500005&link_type=ISI

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.004
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 head0.036
GPT teacher head0.293
Teacher spread0.256 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical · Commentary

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
Published2014
Admission routes1
Has abstractyes

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