Evidence map›Paper›PMID 38059340›Full record

ReviewArthritis care & research2024

Development of the Takayasu Arteritis Integrated Disease Activity Index.

Chiara Marvisi, Ertugrul Cagri Bolek, Mark A Ahlman, Hugh Alessi, Christopher Redmond, Francesco Muratore, Elena Galli, Caterina Ricordi, Sema Kaymaz-Tahra, Salih Ozguven and 5 more

Open access · greenAbstract readReview
In one paragraph

Review in Arthritis care & research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Management of Takayasu Arteritis - A 2026 Update.Current rheumatology reports · 2026
    Review
  2. Article
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  5. Article
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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

15 authors at 5 institutions in 3 countries.

Chiara MarvisiAzienda USL-IRCCS di Reggio Emilia, Italy, and University of Modena and Reggio Emilia, Modena, Italy.ORCID 0000-0001-7027-1410
Ertugrul Cagri BolekHacettepe University Vasculitis Research Centre, Ankara, Turkey.ORCID 0000-0003-3886-2813
Mark A AhlmanMedical College of Georgia, Augusta, Georgia.
Hugh AlessiSystemic Autoimmunity Branch, National Institutes of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, Maryland.
Christopher RedmondSystemic Autoimmunity Branch, National Institutes of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, Maryland.
Francesco MuratoreAzienda USL-IRCCS di Reggio Emilia, Italy, and University of Modena and Reggio Emilia, Modena, Italy.
Elena GalliAzienda USL-IRCCS di Reggio Emilia, Italy, and University of Modena and Reggio Emilia, Modena, Italy.
Caterina RicordiUniversity of Modena and Reggio Emilia, Modena, Italy.
Sema Kaymaz-TahraMarmara University School of Medicine, Istanbul, Turkey.
Salih OzguvenMarmara University School of Medicine, Istanbul, Turkey.
Fatma Alibaz-OnerMarmara University School of Medicine, Istanbul, Turkey.ORCID 0000-0002-6653-1758
Haner DireskeneliMarmara University School of Medicine, Istanbul, Turkey.
Carlo SalvaraniAzienda USL-IRCCS di Reggio Emilia, Italy, and University of Modena and Reggio Emilia, Modena, Italy.ORCID 0000-0003-3708-3148
Kaitlin A QuinnSystemic Autoimmunity Branch, National Institutes of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, Maryland.ORCID 0000-0002-5794-194X
Peter C GraysonSystemic Autoimmunity Branch, National Institutes of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, Maryland.ORCID 0000-0002-8269-9438
University of Modena and Reggio Emilia · ITMarmara University · TRNational Institute of Arthritis and Musculoskeletal and Skin Diseases · USAugusta University · USHacettepe University · TR

Funding

Vasculitis and Translational MedicineZIAAR041204 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI GRAYSON, PETER · 2015 to 2025
$15.4M
Intramural NIH HHS Z99 AR999999NIAMS NIH HHS ZIA AR041204-07
6 · The paper itself

Abstract

objectiveAccurate clinical assessment of disease activity in Takayasu arteritis (TAK) can be challenging.

methodsClinical symptoms for TAIDAI were identified from a literature review. Each symptom was paired with FDG-PET findings in corresponding arterial territories. Constitutional symptoms were paired with acute phase reactant levels. One point was given for each clinical symptom paired with supporting FDG-PET or laboratory abnormalities and summed into the TAIDAI score. A TAIDAI of ≥1 defined active disease. To assess performance of TAIDAI, face validity, content validity, and sensitivity to change were evaluated within a prospective observational cohort study of patients with TAK.

resultsSeventeen clinical symptoms were paired with imaging or laboratory abnormalities. In a cohort of 96 patients contributing 204 study visits, TAIDAI showed excellent sensitivity (96.3%) and good specificity (79.2%) compared to physician's clinical assessment. TAIDAI significantly correlated with physician global assessment, PET Vascular Activity Score, patient global assessment, and acute phase reactant levels. In patients treated with either tumor necrosis factor inhibitors or tocilizumab, a TAIDAI of 0 was achieved in 21 (91%) of 23 patients who met a predefined definition of clinical response.

conclusionTAIDAI is new type of disease activity index in TAK in which clinical symptoms are integrated with specific laboratory and imaging findings. TAIDAI should be validated in future randomized controlled trials in TAK.

Indexed as

Takayasu ArteritisAcute-Phase ProteinsFluorodeoxyglucose F18HumansObservational Studies as TopicPositron-Emission TomographyProspective StudiesAcute-Phase ProteinsFluorodeoxyglucose F18

Identifiers

PMID38059340
PMCPMC10963148
OpenAlexW4389452544

What OpenQuestion holds

Textmetadata
LicenceTDM
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.