Evidence mapPaperPMID 42321148Full record

ReviewClinical and translational science2026

European Network on Optimizing Treatment With Therapeutic Antibodies in Chronic Inflammatory Diseases: Overview, Progress and Perspectives.

Konstantin Tachkov, Merita Rumano, James Bluett, Nataša Bogavac-Stanojević, Erwin Dreesen, Mehmet Itik, Georgios Kararigas, Paweł Kawalec, Marlene Santos, Silje Skrede and 2 more

Erratum issuedAbstract readReview
In one paragraph

Review in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Konstantin TachkovDepartment of Organization and Economy of Pharmacy, Medical University Sofia, Sofia, Bulgaria.
Merita RumanoDepartment of Biology, Faculty of Natural Sciences, University of Tirana, Tirana, Albania.ORCID https://orcid.org/0000-0003-3891-0918
James BluettVersus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, the University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Nataša Bogavac-StanojevićUniversity of Belgrade, Faculty of Pharmacy, Belgrade, Serbia.
Erwin DreesenDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Mehmet ItikDepartment of Aerospace Engineering, Dokuz Eylul University, Izmir, Türkiye.
Georgios KararigasDepartment of Basic and Clinical Sciences, Medical School, University of Nicosia, UNIC Athens, Athens, Greece.ORCID https://orcid.org/0000-0002-8187-0176
Paweł KawalecDepartment of Nutrition and Drug Research, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Kraków, Poland.ORCID https://orcid.org/0000-0002-0125-0947
Marlene SantosREQUIMTE/LAQV, Escola Superior De Saúde, Instituto Politécnico Do Porto, Porto, Portugal.
Silje SkredeDepartment of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway.
Guenka PetrovaDepartment of Organization and Economy of Pharmacy, Medical University Sofia, Sofia, Bulgaria.
Denis MullemanCenter for Molecular Biophysics, UPR CNRS 4301, Nanomedicines and Nanoprobes Department, University of Tours, Tours, France.ORCID https://orcid.org/0000-0003-4089-7513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment of chronic inflammatory diseases has been revolutionized with the introduction of targeted therapies using therapeutic antibodies. However, a large proportion of patients do not respond to treatment, or they lose response over time. To overcome this challenge, researchers have started to investigate strategies for treatment optimization, based on the development of patient stratification tools and therapeutic drug monitoring (TDM). The aim of the COST Action European Network on Optimizing Treatment with Therapeutic Antibodies in chronic inflammatory diseases (ENOTTA) is to create an interdisciplinary, pan-European network to defragment and structure scientific research in this field. Through the network, ENOTTA will facilitate the implementation of tools for patient stratification, as well as individualized (TDM-guided) approaches. These strategies should be cost-effective and provide therapeutic antibody treatment optimization for the treatment of chronic inflammatory diseases. This article highlights the key achievements of the ENOTTA consortium to date.

Indexed as

Antibodies, MonoclonalInflammationChronic DiseaseDrug MonitoringEuropeHumansAntibodies, Monoclonalchronic inflammatory diseasesCOST action CA21147ENOTTAtherapeutic antibodiestherapeutic drug monitoring

Identifiers

PMID42321148
PMCPMC13282160

What Socratic 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 Socratic graph.