Evidence map›Paper›PMID 27558881›Full record

SynthesisScientific reports2016

Diagnostic performance of serum IgG4 level for IgG4-related disease: a meta-analysis.

Wen-Long Xu, Ying-Chun Ling, Zhi-Kai Wang, Fang Deng

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
  8. Article
  9. Article
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  16. Article
  17. Diagnostic and treatment workup for IgG4-related disease.Expert review of clinical immunology · 2017
    Review
  18. Immunoglobulin-G4 related mastitis: A case report.International journal of surgery case reports · 2017
    Article
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

4 authors.

Wen-Long XuDepartment of Clinical Laboratory, Baoshan Branch of Shanghai Huashan Hospital, Baoshan Renhe Hospital, Shanghai 200431, China.
Ying-Chun LingDepartment of Clinical Laboratory, Shaoxing Seventh People's Hospital, Zhejiang Shaoxing 312000, China.
Zhi-Kai WangDepartment of Clinical Laboratory, Shanghai Family Planning Hospital, Shanghai 200032, China.
Fang DengDepartment of Clinical Laboratory, Anhui Provincial Tumor Hospital, Anhui Hefei 230031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An elevated serum IgG4 level is one of the most useful factors in the diagnosis of IgG4-related disease (IgG4-RD). In this study, we performed a meta-analysis of the published articles assessing the diagnostic accuracy of serum IgG4 concentrations for IgG4-RD. The databases of MEDLINE/PubMed, EMBASE and Web of Science were systematically searched for relevant studies. Sensitivities and specificities of serum IgG4 in each study were calculated, and the hierarchical summary receiver operating characteristic (HSROC) model with a random effects model were employed to obtain the individual and pooled estimates of sensitivities and specificities. In total, twenty-three studies comprising 6048 patients with IgG4-RD were included in the meta-analysis. The pooled sensitivity was 85% with a 95% confidence interval (CI) of 78-90%; the pooled specificity was 93% with a 95% CI of 90-95%. The HSROC curve for quantitative serum IgG4 lies closer to the upper left corner of the plot, and the area under the curve (AUC) was 0.95 (95% CI 0.93, 0.97), which suggested a high diagnostic accuracy of serum IgG4 for the entity of IgG4-RD. Our study suggests that serum IgG4 has high sensitivity and specificity in the diagnosis of IgG4-RD.

Indexed as

Cholangitis, SclerosingHumansImmunoglobulin GMikulicz' DiseasePancreatitisROC CurveSensitivity and SpecificitySialadenitisImmunoglobulin G

Identifiers

PMID27558881
PMCPMC4997323

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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.