Evidence map›Paper›PMID 38689880›Full record

ArticleFrontiers in neurology2024

Immunophenotyping in routine clinical practice for predicting treatment response and adverse events in patients with MS.

Tobias Zrzavy, Kerstin Rieder, Viktoria Wuketich, Renate Thalhammer, Helmuth Haslacher, Patrick Altmann, Barbara Kornek, Nik Krajnc, Tobias Monschein, Christiane Schmied and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

16 authors at 1 institution in 1 country.

Tobias ZrzavyDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Kerstin RiederDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Viktoria WuketichDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Renate ThalhammerDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Helmuth HaslacherDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Patrick AltmannDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Barbara KornekDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Nik KrajncDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Tobias MonscheinDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Christiane SchmiedDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Karin ZebenholzerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Gudrun ZulehnerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Thomas BergerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Paulus RommerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Fritz LeutmezerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Gabriel BstehDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent studies proposed cellular immunoprofiling as a surrogate for predicting treatment response and/or stratifying the occurrence of adverse events (AEs) in persons with multiple sclerosis (pwMS). However, applicability in real-world circumstances is not sufficiently addressed. Objective: We aimed to explore whether standard routine clinical leukocyte phenotyping before treatment initiation could help stratify patients according to treatment response or AEs in a real-world MS cohort. Methods: In this retrospective study, 150 pwMS were included, who had been newly initiated on a disease-modifying drug (DMD) and had been assessed for standard immunophenotyping before DMD initiation (baseline) and at least once during the following year. Multivariate models were used to assess an association of immune subsets and the association between immune cell profiles regarding treatment response and AEs. Results: We found that the composition of T cell subsets was associated with relapse activity, as an increased proportion of CD8 Conclusion: Immune cell profiles are associated with treatment response and the occurrence of AEs in pwMS. Hence, immunophenotyping may serve as a valuable biomarker to enable individually tailored treatment strategies in pwMS.

Indexed as

DMDimmunophenotypingMST cellstreatment

Identifiers

PMID38689880
PMCPMC11058637
OpenAlexW4394850670

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.