Evidence map›Paper›PMID 35182078›Full record

ArticleJournal of clinical laboratory analysis2022

Low levels of serum IL-39 are associated with autoimmune thyroid disease.

Linjie Weng, Guoqing Huang, Luping Gong, Jialu Xu, Yushan Mao, Yan Li, Mingcai Li

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 12 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

7 authors at 1 institution in 1 country.

Linjie WengThe Affiliated Hospital of Medical School, Ningbo University, Ningbo, China.
Guoqing HuangThe Affiliated Hospital of Medical School, Ningbo University, Ningbo, China.
Luping GongThe Affiliated Hospital of Medical School, Ningbo University, Ningbo, China.
Jialu XuThe Affiliated Lihuili Hospital, Ningbo University, Ningbo, China.
Yushan MaoThe Affiliated Hospital of Medical School, Ningbo University, Ningbo, China.
Yan LiThe Affiliated Hospital of Medical School, Ningbo University, Ningbo, China.
Mingcai LiThe Affiliated Hospital of Medical School, Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0003-3910-6964
Ningbo University · CN

Funding

K. C. Wong Magna Fund in Ningbo UniversityNatural Science Foundation of Ningbo 202003N411Natural Science Foundation of Ningbo 202003N4118The National Natural Science Foundation of China 81970735
6 · The paper itself

Abstract

backgroundInterleukin (IL)-39 is a novel member of IL-12 cytokine family, but its role in autoimmune thyroid diseases (AITD) is unclear. The aim of the present study was to determine serum levels of IL-39 in Hashimoto's thyroiditis (HT) and Graves' disease (GD) patients.

methodsA total of 48 patients with HT, 50 patients with GD, and 45 healthy controls (HCs) were recruited for this study. Levels of serum IL-39 were determined by ELISA.

resultsCompared with HC group, levels of serum IL-39 in patients with HT (p < 0.05) and GD (p < 0.01) were drastically reduced. Among patients with HT, serum IL-39 levels had a positive correlation with white blood cell count (WBC) count and free triiodothyronine level. Among patients with GD, the levels of IL-39 in serum were positively correlated with WBC count and C-reactive protein levels.

conclusionsIL-39 may be a new potential predictor for patients with HT and GD.

Indexed as

Graves DiseaseHashimoto DiseaseInterleukinsCase-Control StudiesHumansTriiodothyronineinterleukin 39, humanInterleukinsTriiodothyronineC-reactive proteinGraves' diseaseHashimoto's thyroiditisinterleukin-39white blood cell

Identifiers

PMID35182078
PMCPMC8993603
OpenAlexW4213312374

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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.