Evidence map›Paper›PMID 36986627›Full record

ReviewPharmaceutics2023

Perspectives of Therapeutic Drug Monitoring of Biological Agents in Non-Infectious Uveitis Treatment: A Review.

Manuel Busto-Iglesias, Lorena Rodríguez-Martínez, Carmen Antía Rodríguez-Fernández, Jaime González-López, Miguel González-Barcia, Begoña de Domingo, Luis Rodríguez-Rodríguez, Anxo Fernández-Ferreiro, Cristina Mondelo-García

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Tocilizumab for Non-Infectious Uveitis: A Systematic Review.Journal of inflammation research · 2025
    Review
  8. Review
  9. Review
  10. Observational
  11. Review
  12. Observational
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

9 authors at 3 institutions in 1 country.

Manuel Busto-IglesiasPharmacy Department, University Clinical Hospital of Santiago de Compostela (SERGAS), 15706 Santiago de Compostela, Spain.ORCID 0000-0002-4719-9542
Lorena Rodríguez-MartínezPharmacology Group, Health Research Institute of Santiago de Compostela (FIDIS), 15706 Santiago de Compostela, Spain.ORCID 0000-0002-9604-6833
Carmen Antía Rodríguez-FernándezPharmacology Group, Health Research Institute of Santiago de Compostela (FIDIS), 15706 Santiago de Compostela, Spain.ORCID 0000-0002-9179-8163
Jaime González-LópezPharmacy Department, University Clinical Hospital of Santiago de Compostela (SERGAS), 15706 Santiago de Compostela, Spain.
Miguel González-BarciaPharmacy Department, University Clinical Hospital of Santiago de Compostela (SERGAS), 15706 Santiago de Compostela, Spain.
Begoña de DomingoOphthalmology Department, University Clinical Hospital of Santiago Compostela (SERGAS), 15706 Santiago de Compostela, Spain.
Luis Rodríguez-RodríguezMusculoskeletal Pathology Group, Hospital Clínico San Carlos, Instituto Investigación Sanitaria San Carlos (IdISSC), 28040 Madrid, Spain.ORCID 0000-0002-2869-7861
Anxo Fernández-FerreiroPharmacy Department, University Clinical Hospital of Santiago de Compostela (SERGAS), 15706 Santiago de Compostela, Spain.ORCID 0000-0002-7348-7337
Cristina Mondelo-GarcíaPharmacy Department, University Clinical Hospital of Santiago de Compostela (SERGAS), 15706 Santiago de Compostela, Spain.ORCID 0000-0001-8555-1415
Universidade de Santiago de Compostela · ESBellvitge University Hospital · ESHospital Clínico San Carlos · ES

Funding

ISCIII ICI19/00020ISCIII PI20/00719Xunta de Galicia IN607D2021/01
6 · The paper itself

Abstract

Biological drugs, especially those targeting anti-tumour necrosis factor α (TNFα) molecule, have revolutionized the treatment of patients with non-infectious uveitis (NIU), a sight-threatening condition characterized by ocular inflammation that can lead to severe vision threatening and blindness. Adalimumab (ADA) and infliximab (IFX), the most widely used anti-TNFα drugs, have led to greater clinical benefits, but a significant fraction of patients with NIU do not respond to these drugs. The therapeutic outcome is closely related to systemic drug levels, which are influenced by several factors such as immunogenicity, concomitant treatment with immunomodulators, and genetic factors. Therapeutic drug monitoring (TDM) of drug and anti-drug antibody (ADAbs) levels is emerging as a resource to optimise biologic therapy by personalising treatment to bring and maintain drug concentration within the therapeutic range, especially in those patients where a clinical response is less than expected. Furthermore, some studies have described different genetic polymorphisms that may act as predictors of response to treatment with anti-TNFα agents in immune-mediated diseases and could be useful in personalising biologic treatment selection. This review is a compilation of the published evidence in NIU and in other immune-mediated diseases that support the usefulness of TDM and pharmacogenetics as a tool to guide clinicians' treatment decisions leading to better clinical outcomes. In addition, findings from preclinical and clinical studies, assessing the safety and efficacy of intravitreal administration of anti-TNFα agents in NIU are discussed.

Indexed as

biological therapynon-infectious uveitis (NIU)pharmacogeneticspharmacokineticstherapeutic drug monitoring (TDM)

Identifiers

PMID36986627
PMCPMC10051556
OpenAlexW4322501358

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.