Evidence map›Paper›PMID 34306411›Full record

ArticleAmerican journal of translational research2021

Expression of miR-155 and miR-146a in the saliva of patients with periodontitis and its clinical value.

Peng Wu, Jie Feng, Wei Wang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  7. Salivary biomarkers: a promising approach for predicting immunotherapy response in head and neck cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  17. Unique miRomics Expression Profiles inInternational journal of molecular sciences · 2023
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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

3 authors at 1 institution in 1 country.

Peng WuDepartment of Prosthodontics, Beijing Stomatological Hospital, Capital Medical University Beijing 100050, China.
Jie FengDepartment of General, Beijing Stomatological Hospital, Capital Medical University Beijing 100050, China.
Wei WangDepartment of Orthodontics, Beijing Stomatological Hospital, Capital Medical University Beijing 100050, China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the significance of microRNA-155 (miR-155) and microRNA-46a (miR-46a) in the diagnosis of periodontitis (PD).

methodsA total of 41 patients with PD admitted to our hospital between September 2017 and August 2019 were enrolled into an observation group (obs group), and 35 healthy individuals during the same period were enrolled into a control group (con group). A qRT-PCR assay was carried out to quantify miR-155 and miR-146a expression, and the relationship between the expression of miR-155 and miR-146a and severity and clinical indicators of PD was analyzed.

resultsThe obs group showed significantly higher expression of saliva miR-155 and miR-146a than the con group (

conclusionMiR-155 and miR-146a were both highly expressed in the saliva of patients with PD, and the expression of them was positively correlated with the severity and clinical indexes of PD, so miR-155 and miR-146a might be involved in the development and progression of PD.

Indexed as

clinical valuemiR-146amiR-155periodontitisqRT-PCR

Identifiers

PMID34306411
PMCPMC8290752
OpenAlexW3196652409

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.