Evidence map›Paper›PMID 35224746›Full record

ArticleAlimentary pharmacology & therapeutics2022

Model to predict on-treatment restoration of functional HBV-specific CD8

Julia Peña-Asensio, Henar Calvo, Joaquín Miquel, Eduardo Sanz-de-Villalobos, Alejandro González-Praetorius, Miguel Torralba, Juan-Ramón Larrubia

Open access · hybridAbstract read
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. [Predictive factors for HBsAg-negative seroconversion in chronic hepatitis B after antiviral therapy].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Julia Peña-AsensioDepartment of Biology of Systems, University of Alcalá, Alcalá de Henares, Spain.
Henar CalvoSection of Gastroenterology, Guadalajara University Hospital, Guadalajara, Spain.
Joaquín MiquelSection of Gastroenterology, Guadalajara University Hospital, Guadalajara, Spain.
Eduardo Sanz-de-VillalobosSection of Gastroenterology, Guadalajara University Hospital, Guadalajara, Spain.
Alejandro González-PraetoriusSection of Microbiology, Guadalajara University Hospital, Guadalajara, Spain.
Miguel TorralbaService of Internal Medicine, Guadalajara University Hospital, Guadalajara, Spain.
Juan-Ramón LarrubiaSection of Gastroenterology, Guadalajara University Hospital, Guadalajara, Spain.ORCID 0000-0002-6383-848X
Hospital Universitario de Guadalajara · ESUniversidad de Alcalá · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis B virus (HBV)-specific CD8

aimTo predict this response with variables involved in T-cell exhaustion for use as a treatment stopping tool.

methodsIn NUC-treated CHBe(-) patients, we considered a functional response in cases with HBV-specific CD8

resultsWe developed an LRM that predicted the presence of a proliferative type I cytokine-secreting CD8

conclusionsShort-term low-level antigen exposure and early long-term NUC treatment influence the restoration of a functional HBV-specific CD8

Indexed as

Hepatitis B, ChronicAdultAntiviral AgentsCD8-Positive T-LymphocytesCytokinesDNA, ViralEpitopesHepatitis B e AntigensHepatitis B Surface AntigensHepatitis B virusHumansTreatment OutcomeAntiviral AgentsCytokinesDNA, ViralEpitopesHepatitis B e AntigensHepatitis B Surface Antigensanti-viral therapy discontinuationfunctional cureHBV-specific CD8+ cell responseNucleos(t)ide analoguepredictive multivariate logistic regression modelT-cell exhaustion

Identifiers

PMID35224746
PMCPMC9305412
OpenAlexW4214662197

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.