Evidence map›Paper›PMID 37106264›Full record

ArticleFunctional & integrative genomics2023

Bacterial diversity of middle ear cholesteatoma by 16S rRNA gene sequencing in China.

Qiulin Liang, Ruiqing Long, Shuling Li, Chaowu Jiang, Jingyu Gao, Sheng Cheng, Zhuohui Liu, Biao Ruan

Abstract read
In one paragraph

Article in Functional & integrative genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Qiulin LiangDepartment of Otolaryngology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China.
Ruiqing LongDepartment of Otolaryngology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China.
Shuling LiDepartment of Otolaryngology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China.
Chaowu JiangDepartment of Otolaryngology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China.
Jingyu GaoDepartment of Otolaryngology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China.
Sheng ChengDepartment of Otolaryngology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China.
Zhuohui LiuDepartment of Otolaryngology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China. liuzhuohui1@kmmu.edu.cn.
Biao RuanDepartment of Otolaryngology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China. ynent@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the bacterial diversity of acquired middle ear cholesteatoma (MEC) was evaluated to reveal its pathogenesis and provides a guide for the use of antibiotics. Twenty-nine cases of acquired MEC and eight cases of healthy middle ears undergoing cochlear implantation (CI) were evaluated. Full-length 16S rRNA gene sequencing was performed to profile the bacterial communities in lesions and healthy tissues of the middle ear. ACE (P = 0.043) and Chao1 (P = 0.039) indices showed significant differences in alpha diversity (P < 0.05). Analysis of PERMANOVA/Anosim using the Bray-Curtis distance matrix results suggested that the between-group differences were greater than the within-group differences (R = 0.238, P < 0.05, R

Indexed as

Cholesteatoma, Middle EarBacteriaChinaGenes, rRNAHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNABacterial diversityChronic otitis mediaMiddle ear cholesteatomasequencing

Identifiers

PMID37106264
PMCPMC10140134

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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.