Evidence map›Paper›PMID 25294014›Full record

ArticleEndocrine2015

The relationship between circulating TRAIL and endothelial dysfunction in subclinical hypothyroidism.

Guangda Xiang, Ling Yue, Junxia Zhang, Lin Xiang, Jing Dong

Abstract read
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In one paragraph

Article in Endocrine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 10 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

5 authors at 1 institution in 1 country.

Guangda XiangDepartment of Endocrinology, Wuhan General Hospital of Guangzhou Command, Wuluo Road 627, Wuhan, 430070, Hubei, People's Republic of China, guangda64@hotmail.com.
Ling Yue
Junxia Zhang
Lin Xiang
Jing Dong
Wuhan General Hospital of Guangzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) is associated with atherosclerosis. Subclinical hypothyroidism (sHT) is associated with the increased prevalence of atherosclerotic lesions and cardiovascular events. Therefore, we hypothesized that circulating TRAIL levels are associated with endothelial dysfunction in sHT patients. Two hundred and four patients with newly diagnosed sHT and 52 healthy subjects were recruited. Circulating TRAIL concentration was measured by an ELISA, and flow-mediated dilation (FMD) of brachial artery was measured using high-resolution ultrasound. The mean value of circulating TRAIL in newly diagnosed sHT patients was 67.2 pg/ml, which was lower than that in controls (78.5 pg/ml, p < 0.001). By dividing the distribution of FMD levels into quartiles, TRAIL levels were increased gradually with the increase of FMD levels (p < 0.001). Multivariate regression analysis demonstrated that serum TRAIL levels were independently associated with FMD (p = 0.007). By logistic regression analysis, the odds ratio for lower FMD levels was reduced by 12.1 % per 1 pg/ml increase in serum TRAIL concentration after adjustment for multivariate metabolic factors [OR (95 % CI); 0.879 (0.721-0.973)]. Circulating TRAIL level decreased in newly diagnosed sHT patients and is positively associated with endothelial function, suggesting that circulating TRAIL level may be a protective marker of endothelial function in sHT patients.

Indexed as

AdultAgedBrachial ArteryEndothelium, VascularFemaleHumansHypothyroidismMiddle AgedTNF-Related Apoptosis-Inducing LigandUltrasonographyVasodilationTNF-Related Apoptosis-Inducing LigandTNFSF10 protein, human

Identifiers

PMID25294014
OpenAlexW2087746618

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.