Evidence map›Paper›PMID 31875449›Full record

ReviewHua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology2019

[Research progress on interactions between Candida albicans and common oral pathogens].

Ling Deng, Jing Xue, Li Jiang, Ling Zou, Wei Li

Abstract readReview
In one paragraph

Review in Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Effects ofHua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2022
    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

5 authors.

Ling DengState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Jing XueState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Dept. of Conservative Dentistry and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Li JiangState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Dept. of General Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Ling ZouState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Dept. of Conservative Dentistry and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Wei LiState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing numbers of microbiome studies have enabled the development of a greater understanding of how antagonistic and synergetic microbial interactions influence disease outcomes. Candida albicans is an opportunistic pathogen that is commonly found in human oral microflora. In a healthy oral environment, Candida albicans may potentially but sig-nificantly influence the balance between the oral bacterial ecosystem and the host, leading tooral diseases. The aim of this study is to review the correlation between Candida albicans and oral pathogens and provide a deeper understanding of the nature of oral infec-tious diseases.

Indexed as

Candida albicansMicrobiotaHumansbacteriaCandida albicansinteraction

Identifiers

PMID31875449
PMCPMC7030748

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.