MétaCan
Menu
← Back to cohort
Record W2307178607 · doi:10.1093/cid/civ1217

Reply to Menard et al

2016· letter· fr· W2307178607 on OpenAlexaff
Stephen D. Shafran

Bibliographic record

VenueClinical Infectious Diseases · 2016
Typeletter
Languagefr
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineMEDLINE

Abstract

fetched live from OpenAlex

To the Editor—I thank Amélie Menard and colleagues for their interest in my article and for pointing out that the data I reviewed came from clinical trials rather than “real-life” treatment cohorts [1]. Participants in clinical trials are often highly motivated patients with few comorbidities and concomitant medications, and they are usually seen at a higher frequency than patients treated outside clinical trials. Several studies have reported lower hepatitis C virus (HCV) sustained virological response (SVR) rates in real-world cohorts compared with results obtained with the same direct-acting antiviral (DAA)-containing regimens in clinical trials [2–4], especially with interferon-containing therapy [2, 3]. However, recent data suggest that SVR rates in real-world patients treated with current the American Association for the Study of Liver Diseases and the Infectious Diseases Society of America recommended interferon-free therapy for genotype 1 do not have lower SVR rates than observed in clinical trials [5]. The principal thrust of my article was that human immunodeficiency virus (HIV)-coinfected patients have the same SVR rates as do HCV monoinfected patients treated with the same anti-HCV regimen, at least in clinical trials. Thus, the issue is not so much whether there is a reduced SVR rate in real world patients, but rather whether there is a differential in SVR rates between HCV monoinfected patients and HIV-HCV coinfected patients in the real world. Menard and colleagues report on 55 HIV-HCV coinfected patients treated for HCV with sofosbuvir-containing therapy, of whom 2 received interferon, and observed an SVR rate of 94.5% (52/55), similar to that observed in clinical trials [1]. Schaerer and colleagues similarly observed that the SVR rate in HCV genotype 1-HIV coinfected patients treated with an HCV protease inhibitor in combination with pegylated interferon plus ribavirin in the Swiss Cohort Study was similar to that observed in clinical trials [6]. Two groups of investigators have reported similar SVR rates in HCV genotype 1 monoinfected patients and HCV genotype 1-HIV coinfected patients treated with telaprevir plus pegylated interferon and ribavirin in the very same clinic [7, 8], thereby showing no differential in SVR rate between the HCV monoinfected and the HIV-HCV coinfected in a real-world setting. The report by Menard and colleagues is consistent with data from Switzerland [6], the United States [7], and Canada [8] in demonstrating that HIV-HCV coinfected patients have similar SVR rates as HCV monoinfected patients in real-world practice using DAA-containing therapy and, therefore, taking a different approach to treating HCV in the HIV-coinfected compared with the HCV monoinfected (“HIV exceptionalism”) is unjustifiable. Potential conflict of interest. Author certifies no potential conflicts of interest. The author has submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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)0.006
metaresearch head score (Gemma)0.059
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.135
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.059
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0080.005
Open science0.0030.004
Research integrity0.1350.062
Insufficient payload (model declined to judge)0.0130.011

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 head0.086
GPT teacher head0.461
Teacher spread0.376 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2016
Admission routes1
Has abstractno

Explore more

Same venueClinical Infectious Diseases→Same topicHepatitis C virus research→French-language works237,207→