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Record W2944352931 · doi:10.1016/j.cgh.2019.04.059

Tofacitinib Treatment Is Associated With Modest and Reversible Increases in Serum Lipids in Patients With Ulcerative Colitis

2019· review· en· W2944352931 on OpenAlexaff
Bruce E. Sands, Pam R. Taub, Alessandro Armuzzi, Gary S. Friedman, Michele Moscariello, Nervin Lawendy, Ronald Pedersen, Gary Chan, Chudy I. Nduaka, Daniel Quirk, Leonardo Salese, Chinyu Su, Brian G. Feagan

Bibliographic record

VenueClinical Gastroenterology and Hepatology · 2019
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern UniversityRobarts Clinical Trials
FundersPfizer
KeywordsTofacitinibMedicineUlcerative colitisPlaceboJanus kinase inhibitorInternal medicineGastroenterologyAdverse effectLipid profileCholesterolRheumatoid arthritis

Abstract

fetched live from OpenAlex

BACKGROUND & AIMS: Tofacitinib is an oral, small-molecule Janus kinase inhibitor for the treatment of ulcerative colitis (UC). We analyzed inflammation, lipid concentrations, and incidence rates of major adverse cardiovascular (CV) events (MACEs) in patients who received tofacitinib in worldwide studies. METHODS: We collected data from 1157 patients who participated in 3 8-week induction studies (1 phase-2 study and 2 phase-3 studies; patients received tofacitinib 10 mg twice daily or placebo), a 52-week phase-3 maintenance study of responders (patients received tofacitinib 5 or 10 mg twice daily or placebo), and an ongoing long-term extension study of patients who did and did not respond to induction or maintenance therapy (patients received tofacitinib 5 or 10 mg twice daily). Lipid concentrations were assessed from induction baseline to week 61 (week 52 of maintenance therapy). We calculated MACE incidence rates (patients with ≥1 event per 100 patient-years of exposure) and Reynolds risk score (RRS; a composite score used to determine CV risk) for patients given tofacitinib vs placebo. RESULTS: The mean RRS was <5% at baseline and week 8 of treatment with tofacitinib. At week 8, there were greater increases from baseline in total cholesterol, high-density lipoprotein cholesterol (HDL-c), and low-density lipoprotein cholesterol in patients given tofacitinib compared with placebo. There were correlations between reduced levels of high-sensitivity C-reactive protein and increased serum concentrations of lipid in patients given tofacitinib or placebo (P < .001). Lipid concentrations were increased in patients given tofacitinib vs patients given placebo through week 61. Overall, ratios of low-density lipoprotein cholesterol to HDL-c and total cholesterol to HDL-c did not change significantly over the 61-week period. Four MACEs were reported; the incidence rate was 0.24 (95% CI, 0.07-0.62) and 3 of these patients had 4 or more CV risk factors. CONCLUSIONS: In an analysis of data from 5 trials of patients with UC who received tofacitinib, we found reversible increases in lipids with treatment and inverse correlations with reduced levels of high-sensitivity C-reactive protein. We did not find clinically meaningful changes in lipid ratios or RRS. MACEs were infrequent and not dose-related. Clinicaltrials.gov: A3921063 (NCT00787202); OCTAVE Induction 1 (NCT01465763); OCTAVE Induction 2 (NCT01458951); OCTAVE Sustain (NCT01458574); OCTAVE Open (NCT01470612).

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: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.308
Teacher spread0.279 · 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 designObservational
Domainnot available
GenreReview

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

Citations109
Published2019
Admission routes1
Has abstractyes

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