Evidence map›Paper›PMID 27806057›Full record

ArticlePloS one2016

Occurrence of Anti-Drug Antibodies against Interferon-Beta and Natalizumab in Multiple Sclerosis: A Collaborative Cohort Analysis.

Delphine Bachelet, Signe Hässler, Cyprien Mbogning, Jenny Link, Malin Ryner, Ryan Ramanujam, Michael Auer, Poul Erik Hyldgaard Jensen, Nils Koch-Henriksen, Clemens Warnke and 18 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Addressing Smoking in Persons With Multiple Sclerosis: State of the Science and Need for a Targeted Intervention.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Observational
  12. Immunogenicity of TNF-Inhibitors.Frontiers in immunology · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
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

28 authors at 11 institutions in 6 countries.

Delphine BacheletCESP, Université Pa ris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.
Signe HässlerCESP, Université Pa ris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.ORCID http://orcid.org/0000-0003-4263-3079
Cyprien MbogningCESP, Université Pa ris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.
Jenny LinkKarolinska Institutet, Department of Clinical Neuroscience, Clinical Neuroimmunology, Stockholm, Sweden.
Malin RynerKarolinska Institutet, Department of Clinical Neuroscience, Clinical Neuroimmunology, Stockholm, Sweden.
Ryan RamanujamKarolinska Institutet, Department of Clinical Neuroscience, Clinical Neuroimmunology, Stockholm, Sweden.
Michael AuerDepartment of Neurology, Innsbruck Medical University, Innsbruck, Austria.
Poul Erik Hyldgaard JensenDanish MS Center, Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Nils Koch-HenriksenDanish Multiple Sclerosis Registry, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Clemens WarnkeUniversity of Düsseldorf, Medical Faculty, Department of Neurology, Düsseldorf, Germany.
Kathleen IngenhovenUniversity of Düsseldorf, Medical Faculty, Department of Neurology, Düsseldorf, Germany.
Dorothea BuckDepartment of Neurology, Technische Universität München, Munich, Germany.
Verena GrummelDepartment of Neurology, Technische Universität München, Munich, Germany.
Andy LawtonGlaxoSmithKline, Uxbridge, Middlesex, United Kingdom.
Naoimh DonnellanIPSEN, Slough, Berkshire, United Kingdom.
Agnès Hincelin-MerySanofi, Chilly-Mazarin, France.
Dan SikkemaGlaxoSmithKline, Uxbridge, Middlesex, United Kingdom.
Marc PallardyINSERM UMR 996, Univ. Paris-Sud, Faculty of Pharmacy, Université Paris-Saclay, Châtenay-Malabry, France.
Bernd KieseierUniversity of Düsseldorf, Medical Faculty, Department of Neurology, Düsseldorf, Germany.
Bernard HemmerDepartment of Neurology, Technische Universität München, Munich, Germany.
Hans Peter HartungUniversity of Düsseldorf, Medical Faculty, Department of Neurology, Düsseldorf, Germany.
Per Soelberg SorensenDanish MS Center, Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Florian DeisenhammerDepartment of Neurology, Innsbruck Medical University, Innsbruck, Austria.
Pierre DönnesSciCross AB, Skövde, Sweden.
Julie DavidsonGlaxoSmithKline, Uxbridge, Middlesex, United Kingdom.
Anna Fogdell-HahnKarolinska Institutet, Department of Clinical Neuroscience, Clinical Neuroimmunology, Stockholm, Sweden.
Philippe BroëtCESP, Université Pa ris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.
ABIRISK Consortium
Université Paris-Sud · FRHeinrich Heine University Düsseldorf · DEKarolinska Institutet · SEGlaxoSmithKline (United Kingdom) · GBCopenhagen University Hospital · DKInnsbruck Medical University · ATTechnical University of Munich · DEAarhus University · DKIpsen (United Kingdom) · GBMunich Cluster for Systems Neurology · DESanofi (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunogenicity of biopharmaceutical products in multiple sclerosis is a frequent side effect which has a multifactorial etiology. Here we study associations between anti-drug antibody (ADA) occurrence and demographic and clinical factors. Retrospective data from routine ADA test laboratories in Sweden, Denmark, Austria and Germany (Dusseldorf group) and from one research study in Germany (Munich group) were gathered to build a collaborative multi-cohort dataset within the framework of the ABIRISK project. A subset of 5638 interferon-beta (IFNβ)-treated and 3440 natalizumab-treated patients having data on at least the first two years of treatment were eligible for interval-censored time-to-event analysis. In multivariate Cox regression, IFNβ-1a subcutaneous and IFNβ-1b subcutaneous treated patients were at higher risk of ADA occurrence compared to IFNβ-1a intramuscular-treated patients (pooled HR = 6.4, 95% CI 4.9-8.4 and pooled HR = 8.7, 95% CI 6.6-11.4 respectively). Patients older than 50 years at start of IFNβ therapy developed ADA more frequently than adult patients younger than 30 (pooled HR = 1.8, 95% CI 1.4-2.3). Men developed ADA more frequently than women (pooled HR = 1.3, 95% CI 1.1-1.6). Interestingly we observed that in Sweden and Germany, patients who started IFNβ in April were at higher risk of developing ADA (HR = 1.6, 95% CI 1.1-2.4 and HR = 2.4, 95% CI 1.5-3.9 respectively). This result is not confirmed in the other cohorts and warrants further investigations. Concerning natalizumab, patients older than 45 years had a higher ADA rate (pooled HR = 1.4, 95% CI 1.0-1.8) and women developed ADA more frequently than men (pooled HR = 1.4, 95% CI 1.0-2.0). We confirmed previously reported differences in immunogenicity of the different types of IFNβ. Differences in ADA occurrence by sex and age are reported here for the first time. These findings should be further investigated taking into account other exposures and biomarkers.

Indexed as

AdultAgedAntibodiesAntibodies, Anti-IdiotypicCohort StudiesDatabases, FactualEuropeFemaleHumansInterferon-betaMaleMiddle AgedMultiple SclerosisNatalizumabPatient Outcome AssessmentPopulation SurveillanceAntibodiesAntibodies, Anti-IdiotypicInterferon-betaNatalizumab

Identifiers

PMID27806057
PMCPMC5091903
OpenAlexW2548044085

What OpenQuestion 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 OpenQuestion graph.