Evidence map›Paper›PMID 34184190›Full record

ArticleRheumatology and therapy2021

Malignancy Risk of Immunoglobin G4-Related Disease: Evidence from a Large Cohort Multicenter Retrospective Study.

Yanying Liu, Jiangnan Fu, Xiaoran Ning, Huijuan Li, Xiangbo Ma, Kunkun Wang, Wenjie Bian, Yuxin Zhang, Guangyan Yu, Zhanguo Li

Open access · goldAbstract read
In one paragraph

Article in Rheumatology and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 6 institutions in 2 countries.

Yanying Liu *Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, 100044, China. liuyanying20030801@msn.com.
Jiangnan Fu *Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, 100044, China.
Xiaoran NingDepartment of Rheumatology and Immunology, People's Hospital of Hebei Province, Shijiazhuang, 050051, China.
Huijuan LiDepartment of Rheumatology and Immunology, Handan First Hospital, Handan, 056002, China.
Xiangbo MaDepartment of Rheumatology and Immunology, Handan First Hospital, Handan, 056002, China.
Kunkun WangDepartment of Rheumatology and Immunology, Tengzhou Central People's Hospital, Tengzhou, 277500, Shandong, China.
Wenjie BianDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing, 100044, China.
Yuxin ZhangDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing, 100044, China.
Guangyan YuDepartment of Oral and Maxillofacial Surgery, Peking University School of Stomatology, Beijing, 100081, China. gyyu@263.net.
Zhanguo LiDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing, 100044, China. zhanguolipph@163.com.
Peking University · CNHandan College · CNPeking University People's Hospital · CNHospital of Hebei Province · CNKing University · USTengzhou Central People's Hospital · CN

Funding

Clinical Medicine Plus X - Young Scholars Project of Peking University PKU2021LCXQ006Fundamental Research Funds for the Central Universities PKU2021LCXQ006National Key R&D Program of China 2017YFA0105802Peking University People's Hospital Research and Development Funds RDH 2020-03
6 · The paper itself

Abstract

introductionThe aim of this work was to evaluate the prevalence of malignancies in a multicenter cohort of Chinese patients with immunoglobulin G4-related disease (IgG4-RD) and to identify the related risk factors of malignancy in IgG4-RD patients.

methodsWe retrospectively analyzed 602 IgG4-RD patients who were recruited in five medical centers from 2009 to 2020. Standardized prevalence ratios (SPRs) against the general Chinese population were calculated along with 95% confidence intervals (CIs). We identified the risk factors of malignancy in IgG4-RD and calculated the odds ratios (ORs) of different factors. We then developed and validated a prediction model for malignancy risk of IgG4-RD based on our cohort.

resultsWe observed a significantly increased prevalence of total malignancies in this cohort compared to the general Chinese population (SPR 8.66 [95% CI 5.84, 12.31]). Logistic regression analysis indicated that eosinophil percentage (OR 1.096 [95% CI 1.019-1.179], P = 0.016), serum albumin-to-globulin ratio (AGR) (OR 0.185 [95% CI 0.061-0.567], P = 0.002) and autoimmune pancreatitis (OR 2.400 [95% CI 1.038-5.549], P = 0.041) were three potential risk factors of malignancy in IgG4-RD patients. Four predictors were included in our final prediction model: age at IgG4-RD diagnosis, eosinophil percentage, AGR and autoimmune pancreatitis. The nomogram performed well in the internal validation cohort, with a concordance index (C-index) of 0.738.

conclusionsA significantly increased prevalence of total malignancies was observed in our multicenter cohort. Eosinophil percentage and autoimmune pancreatitis are risk factors, whereas AGR is negatively associated with malignancy in IgG4-RD. A prediction model for malignancy risk of IgG4-RD was first developed and validated in our study.

Indexed as

IgG4-related diseaseMalignancyPrediction modelRisk factors

Identifiers

PMID34184190
PMCPMC8380610
OpenAlexW3176506892

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.