Evidence map›Paper›PMID 38522000›Full record

SynthesisCPT: pharmacometrics & systems pharmacology2024

Model-based meta-analysis to quantify the effects of short interfering RNA therapeutics on hepatitis B surface antigen turnover in hepatitis B-infected mice.

Louis Sandra, Huybrecht T'jollyn, An Vermeulen, Oliver Ackaert, Juan-Jose Perez-Ruixo

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in CPT: pharmacometrics & systems pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 3 countries.

Louis SandraJanssen Research and Development, a Johnson & Johnson Company, Beerse, Belgium.
Huybrecht T'jollynJanssen Research and Development, a Johnson & Johnson Company, Beerse, Belgium.ORCID 0000-0003-2101-9926
An VermeulenJanssen Research and Development, a Johnson & Johnson Company, Beerse, Belgium.ORCID 0000-0002-3094-7110
Oliver AckaertJanssen Research and Development, a Johnson & Johnson Company, Beerse, Belgium.
Juan-Jose Perez-RuixoJanssen Research and Development, a Johnson & Johnson Company, Beerse, Belgium.ORCID 0000-0001-9890-745X
Johnson & Johnson (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to compare the efficacy of short interfering RNA therapeutics (siRNAs) in reducing hepatitis B surface antigen (HBsAg) levels in hepatitis B-infected (HBV) mice across multiple siRNA therapeutic classes using model-based meta-analysis (MBMA) techniques. Literature data from 10 studies in HBV-infected mice were pooled, including 13 siRNAs, formulated as liposomal nanoparticles (LNPs) or conjugated to either cholesterol (chol) or N-acetylgalactosamine (GalNAc). Time course of the baseline- and placebo-corrected mean HBsAg profiles were modeled using kinetics of drug effect (KPD) model coupled to an indirect response model (IRM) within a longitudinal non-linear mixed-effects MBMA framework. Single and multiple dose simulations were performed exploring the role of dosing regimens across evaluated siRNA classes. The HBsAg degradation rate (0.72 day

Indexed as

Hepatitis BHepatitis B Surface AntigensRNA, Small InterferingAcetylgalactosamineAnimalsDisease Models, AnimalHepatitis B virusLiposomesMiceModels, BiologicalNanoparticlesAcetylgalactosamineHepatitis B Surface AntigensLiposomesRNA, Small Interfering

Identifiers

PMID38522000
PMCPMC11098160
OpenAlexW4393122549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.