Evidence map›Paper›PMID 32164741›Full record

ArticleLipids in health and disease2020

Monocyte-to-high-density lipoprotein cholesterol ratio is associated with the presence and size of thyroid nodule irrespective of the gender.

Xing Zhen Liu, Jun Min Wang, Yi Xin Ji, Dong Bao Zhao

Abstract read
In one paragraph

Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

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  14. Lack of Association BetweenFrontiers in cellular and infection microbiology · 2021
    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.

Xing Zhen LiuHangzhou Aeronautical Sanatorium of Chinese Air Force, Hangzhou, No. 27, Yang Gong Di, Xihu District, Zhejiang, 310007, Hangzhou, China.ORCID http://orcid.org/0000-0003-1382-6453
Jun Min WangHangzhou Aeronautical Sanatorium of Chinese Air Force, Hangzhou, No. 27, Yang Gong Di, Xihu District, Zhejiang, 310007, Hangzhou, China.
Yi Xin JiHangzhou Aeronautical Sanatorium of Chinese Air Force, Hangzhou, No. 27, Yang Gong Di, Xihu District, Zhejiang, 310007, Hangzhou, China. jiyixinbj@sohu.com.
Dong Bao ZhaoDepartment of Rheumatology, Changhai Hospital, Naval Military Medical University (The Second Military Medical University), No. 168 Changhai Road, Yangpu District, Shanghai, 200433, China. dongbaozhao@163.com.

Funding

National Natural Science Foundation of China 81671595
6 · The paper itself

Abstract

backgroundSystemic inflammation may be involved in the formation and progression of thyroid nodule (TN). The aim of this large-scale study was to investigate the association of several simple inflammatory markers with the presence and size of TN.

methodsA total of 133,698 adults were included for the current analysis. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and monocyte-to-high-density lipoprotein cholesterol ratio (MHR) were calculated. The logistic regression was used to explore the association of the four markers with the presence and size of TN.

resultsThe prevalence of TN was 55.1% among females and 44% among males; 13% of women and 8% of men had non-micronodule. In women, MHR and PLR were significantly associated with the presence of TN and non-micronodule; in men, MHR and NLR were significantly associated with the presence of TN and non-micronodule.

conclusionsAs a low-cost, simple, and reproducible inflammatory marker, MHR is strongly associated with the presence and size of TN irrespective of the gender.

Indexed as

AdultBiomarkersCholesterol, HDLFemaleHumansInflammationLogistic ModelsLymphocytesMaleMiddle AgedMonocytesMultivariate AnalysisOdds RatioThyroid NoduleBiomarkersCholesterol, HDLBiomarkersInflammatory markersThyroid nodule

Identifiers

PMID32164741
PMCPMC7069177

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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.