Evidence map›Paper›PMID 35369634›Full record

ArticlePostepy dermatologii i alergologii2022

The role and significance of magnetic resonance imaging and miRNA-125b expression level in diagnosis of head and neck squamous cell carcinoma.

Qibiao Huang, Xiao Zhang, Biao Gong, Dongquan Ge

Open access · goldAbstract read
In one paragraph

Article in Postepy dermatologii i alergologii, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Qibiao HuangCT Room, Shanxian Central Hospital, Heze, Shandong, China.
Xiao ZhangDepartment of Radiology, Binzhou People's Hospital, Bincheng District, Binzhou, Shandong, China.
Biao GongImaging Medicine and Nuclear Medicine, Shandong University School of Medicine, Lixia District, Jinan, Shandong, China.
Dongquan GeDepartment of Medical Imaging, Pingdu People's Hospital, Pingdu, Shandong, China.
Binzhou People's Hospital · CNShandong University · CNXian Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diagnosis of head and neck squamous cell carcinoma (SCC) is an important challenge for clinicians, and finding new approaches to better diagnosis is the basis of a new area of cancer research. Aim: To investigate the diagnostic value and significance of MRI combined with miRNA-125 expression in head and neck SCC. Material and methods: Sixty patients with head and neck SCC were selected as the tumour group, and 20 healthy volunteers as the control group. All subjects were examined by magnetic resonance imaging (MRI) perfusion imaging. Peripheral venous blood was collected from all patients and healthy volunteers. The expression level of miRNA-125 in serum was detected by RT-qPCR, and the levels of interleukin-2 (IL-2), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), and transforming growth factor β1 (TGF-β1) in serum were detected. Meanwhile, tumour tissues and adjacent non-tumour tissues of patients were collected to detect the mRNA expression level of ERBB2. Results: Compared with the control group, the expression level of miRNA-125b in serum of patients decreased with a statistically significant difference ( Conclusions: Detection of miRNA-125b expression level is complementary to MRI diagnosis of head and neck SCC.

Indexed as

magnetic resonance imagingmiRNA-125bsquamous cell carcinoma

Identifiers

PMID35369634
PMCPMC8953887
OpenAlexW3208070732

What OpenQuestion holds

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Registered trials

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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.