Evidence map›Paper›PMID 40508133›Full record

ReviewInternational journal of molecular sciences2025

IgG4-Related Disease: Current and Future Insights into Pathological Diagnosis.

Marlon Arias-Intriago, Tamar Gomolin, Flor Jaramillo, Adriana C Cruz-Enríquez, Angie L Lara-Arteaga, Andrea Tello-De-la-Torre, Esteban Ortiz-Prado, Juan S Izquierdo-Condoy

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

8 authors.

Marlon Arias-IntriagoOne Health Research Group, Universidad de las Américas, Quito 170124, Ecuador.ORCID 0009-0002-3717-383X
Tamar GomolinDepartment of Pathology, Icahn School of Medicine at Mount Sinai West, New York, NY 10019, USA.
Flor JaramilloDepartamento de Hematología, Hospital de la Policía, Quito 170517, Ecuador.
Adriana C Cruz-EnríquezFacultad de Ciencias de la Salud, Universidad del Quindío, Armenia 630004, Colombia.
Angie L Lara-ArteagaFacultad de Ciencias de la Salud, Universidad del Cauca, Popayán 190003, Colombia.
Andrea Tello-De-la-TorreOne Health Research Group, Universidad de las Américas, Quito 170124, Ecuador.ORCID 0000-0002-5927-8600
Esteban Ortiz-PradoOne Health Research Group, Universidad de las Américas, Quito 170124, Ecuador.ORCID 0000-0002-1895-7498
Juan S Izquierdo-CondoyOne Health Research Group, Universidad de las Américas, Quito 170124, Ecuador.ORCID 0000-0002-1178-0546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunoglobulin G4-related disease (IgG4-RD) is a systemic fibroinflammatory condition marked by tumefactive lesions, IgG4+ plasma cell-rich infiltrates, storiform fibrosis, and obliterative phlebitis. Its multisystem involvement and overlap with malignancies, infections, and immune disorders complicate diagnosis despite recent classification advances. This study summarizes diagnostic challenges, highlights the role of histopathology as per the 2019 classification criteria established by the American College of Rheumatology and the European League Against Rheumatism (ACR/EULAR), and explores emerging tools to improve diagnostic accuracy. ACR/EULAR classification emphasizes three cardinal histopathological features (storiform fibrosis, obliterative phlebitis, or dense lymphoplasmacytic infiltrates) combined with an IgG4+/IgG+ plasma cell ratio >40% and organ-specific IgG4+ thresholds. While serum IgG4 levels are often elevated, their poor specificity necessitates confirmatory biopsy. Diagnostic limitations include sampling variability due to patchy fibrosis, interobserver discrepancies in immunohistochemical interpretation, and differentiation from mimics like lymphoma. Emerging solutions incorporate novel biomarkers (plasmablasts, anti-annexin A11) and advanced techniques (flow cytometry, digital pathology). Future research directions should focus on AI-assisted pattern recognition, multi-omics profiling, and organ-specific criteria refinement. While histopathology remains the diagnostic cornerstone, a multidisciplinary approach integrating clinical, radiological, and laboratory data is vital. Innovations in biomarkers promise improved diagnostic accuracy and personalized care, balancing novel advancements with foundational pathological evaluation.

Indexed as

Immunoglobulin GImmunoglobulin G4-Related DiseaseBiomarkersDiagnosis, DifferentialHumansBiomarkersImmunoglobulin Gbiomarkersdiagnostic criteriadifferential diagnosishistopathologyIgG4-related disease

Identifiers

PMID40508133
PMCPMC12155269

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.