Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 685

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

The 2019 American College of Rheumatology/European League Against Rheumatism Classification Criteria for IgG4‐Related Disease

Open access
Wallace, Zachary S., Naden, Ray P., Chari, Suresh, Choi, Hyon, Della‐Torre, Emanuel, Dicaire, Jean‐Francois, Hart, Phil A., Inoue, Dai, Kawano, Mitsuhiro, Khosroshahi, Arezou, Kubota, Kensuke, Lanzillotta, Marco, Okazaki, Kazuichi, Perugino, Cory A., Sharma, Amita, Saeki, Takako, Sekiguchi, Hiroshi, Schleinitz, Nicolas, Stone, James R., Takahashi, Naoki, Umehara, Hisanori, Webster, George, Zen, Yoh, Stone, John H., for the American College of Rheumatology/European League Against Rheumatism IgG4‐Related Disease Classification Criteria Working Group·2020·Arthritis & Rheumatology

Abstract

Objective: IgG4‐related disease (IgG4‐RD) can cause fibroinflammatory lesions in nearly any organ. Correlation among clinical, serologic, radiologic, and pathologic data is required for diagnosis. This work was undertaken to develop and validate an international set of classification criteria for IgG4‐RD. Methods: An international multispecialty group of 86 physicians was assembled by the American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR). Investigators used consensus exercises, existing literature, derivation and validation cohorts of 1,879 subjects (1,086 cases, 793 mimickers), and multicriterion decision analysis to identify, weight, and test potential classification criteria. Two independent validation cohorts were included. Results: A 3‐step classification process was developed. First, it must be demonstrated that a potential IgG4‐RD case has involvement of at least 1 of 11 possible organs in a manner consistent with IgG4‐RD. Second, exclusion criteria consisting of a total of 32 clinical, serologic, radiologic, and pathologic items must be applied; the presence of any of these criteria eliminates the patient from IgG4‐RD classification. Third, 8 weighted inclusion criteria domains, addressing clinical findings, serologic results, radiology assessments, and pathology interpretations, are applied. In the first validation cohort, a threshold of 20 points had a specificity of 99.2% (95% confidence interval [95% CI] 97.2–99.8%) and a sensitivity of 85.5% (95% CI 81.9–88.5%). In the second, the specificity was 97.8% (95% CI 93.7–99.2%) and the sensitivity was 82.0% (95% CI 77.0–86.1%). The criteria were shown to have robust test characteristics over a wide range of thresholds. Conclusion: ACR/EULAR classification criteria for IgG4‐RD have been developed and validated in a large cohort of patients. These criteria demonstrate excellent test performance and should contribute substantially to future clinical, epidemiologic, and basic science investigations.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/art.41120

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 31 references

Cited by

See all 685

Metadata

Authors
Wallace, Z. S., Naden, R. P., Chari, S., Choi, H., Della‐Torre, E., Dicaire, J., Hart, P. A., Inoue, D., Kawano, M., Khosroshahi, A., Kubota, K., Lanzillotta, M., Okazaki, K., Perugino, C. A., Sharma, A., Saeki, T., Sekiguchi, H., Schleinitz, N., Stone, J. R., Takahashi, N., Umehara, H., Webster, G., Zen, Y., Stone, J. H., & for the American College of Rheumatology/European League Against Rheumatism IgG4‐Related Disease Classification Criteria Working Group
Venue
Arthritis & Rheumatology
Publisher
Wiley
Published
2019-12-02
Volume
72
Issue
1
Pages
7-19
ISSN
  • 2326-5191 (ISSN-L)
  • 2326-5205
OpenAlex
W2993526648
Cited by
685
References
31
FWCI
34.40
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The 2019 American College of Rheumatology/European League Against Rheumatism Classification Criteria for IgG4‐Related Disease. https://app.cochat.ai/papers/10.1002/art.41120
The paper
Wallace, Z. S., Naden, R. P., Chari, S., Choi, H., Della‐Torre, E., Dicaire, J., Hart, P. A., Inoue, D., Kawano, M., Khosroshahi, A., Kubota, K., Lanzillotta, M., Okazaki, K., Perugino, C. A., Sharma, A., Saeki, T., Sekiguchi, H., Schleinitz, N., Stone, J. R., . . . for the American College of Rheumatology/European League Against Rheumatism IgG4‐Related Disease Classification Criteria Working Group. (2020). The 2019 American College of Rheumatology/European League Against Rheumatism Classification Criteria for IgG4‐Related Disease. Arthritis & Rheumatology. https://doi.org/10.1002/art.41120

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.