Evidence map›Paper›PMID 38568436›Full record

ArticleClinical rheumatology2024

Non-invasive imaging for predicting labial salivary gland biopsy outcomes in patients with suspected primary Sjögren syndrome.

Nan Xu, Xuanhan Wang, Tiantian Dai, Nianxing Liu, Yimin Ding, Jinqiong Chen, Longlong Tian, Yuxuan Fang, Yongbin Zhang, Guoqing Li

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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 3 institutions in 1 country.

Nan Xu *Department of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hangjiang RoadJiangsu Province, Yangzhou, 225000, People's Republic of China.ORCID http://orcid.org/0009-0006-5291-3591
Xuanhan Wang *Department of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hangjiang RoadJiangsu Province, Yangzhou, 225000, People's Republic of China.
Tiantian Dai *Department of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hangjiang RoadJiangsu Province, Yangzhou, 225000, People's Republic of China.
Nianxing LiuDepartment of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hangjiang RoadJiangsu Province, Yangzhou, 225000, People's Republic of China.
Yimin DingDepartment of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hangjiang RoadJiangsu Province, Yangzhou, 225000, People's Republic of China.
Jinqiong ChenDepartment of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hangjiang RoadJiangsu Province, Yangzhou, 225000, People's Republic of China.
Longlong TianDepartment of Rheumatology and Immunology, Qingdao West Coast New District People's Hospital, Qingdao, 266000, People's Republic of China.
Yuxuan FangDepartment of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hangjiang RoadJiangsu Province, Yangzhou, 225000, People's Republic of China.
Yongbin ZhangDepartment of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hangjiang RoadJiangsu Province, Yangzhou, 225000, People's Republic of China.
Guoqing LiDepartment of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hangjiang RoadJiangsu Province, Yangzhou, 225000, People's Republic of China. Ligq@Yzu.edu.cn.ORCID http://orcid.org/0000-0002-0976-9188
Northern Jiangsu People's Hospital · CNQingdao Eighth People's Hospital · CNYangzhou University · CN

Funding

National Natural Science Foundation of China No. 82071821
6 · The paper itself

Abstract

To identify the value of salivary gland ultrasound (SGUS) combined with magnetic resonance imaging (MRI) and magnetic resonance sialography (MRS) in predicting the results of labial salivary gland biopsy (LSGB) in patients with suspected primary Sjögren syndrome (pSS), and construct a nomogram model to predict LSGB results. A total of 181 patients who were admitted with suspected pSS from December 2018 to April 2023 were examined and divided into a training set (n = 120) and a validation set (n = 61). Baseline data of the two groups were examined, and the value of SGUS, MRI, and MRS in predicting LSGB was analyzed. Multivariate logistic analysis was used to screen for risk factors, and nomogram prediction models were constructed using these results. In the training set, the SGUS, MRI, and MRS scores of patients in the LSGB + group were higher than those in the LSGB - group (all P < 0.001). The positive prediction value (PPV) was 91% for an SGUS score of 3, and 82% for MRI and MRS scores of 2 or more. We developed a nomogram prediction model based on SGUS, MRI, and MRS data, and it had a concordance index (C-index) of 0.94. The Hosmer-Lemeshow test (χ

Indexed as

Sjogren's SyndromeBiopsyHumansSalivary GlandsSalivary Glands, MinorUltrasonographyMagnetic resonance imagingMagnetic resonance sialographyPrediction modelPrimary Sjögren syndromeSalivary gland ultrasound

Identifiers

PMID38568436
OpenAlexW4393899398

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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.