Evidence map›Paper›PMID 38162086›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2023

[Analysis of Salivary Microbiota Characteristics in Patients With Pulmonary Nodules: A Prospective Nonrandomized Concurrent Controlled Trial].

Yifeng Ren, Qiong Ma, Fang Li, Xiao Zeng, Shiyan Tan, Xi Fu, Chuan Zheng, Fengming You, Xueke Li

Open access · greenAbstract readControlled Clinical TrialEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2023. 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
0.4field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

9 authors at 1 institution in 1 country.

Yifeng Ren（ 610075） Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Qiong Ma（ 610075） Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Fang Li（ 610075） Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Xiao Zeng（ 610075） Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Shiyan Tan（ 610075） Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Xi Fu（ 610075） Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Chuan Zheng（ 610075） Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Fengming You（ 610075） Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Xueke Li（ 610075） Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Sichuan Provincial Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To uncover and identify the differences in salivary microbiota profiles and their potential roles between patients with pulmonary nodules (PN) and healthy controls, and to propose new candidate biomarkers for the early warning of PN. Methods: 16S rRNA amplicon sequencing was performed with the saliva samples of 173 PN patients, or the PN group, and 40 health controls, or the HC group, to compare the characteristics, including diversity, community composition, differential species, and functional changes of salivary microbiota in the two groups. Random forest algorithm was used to identify salivary microbial markers of PN and their predictive value for PN was assessed by area under the curve ( Results: The α diversity and β diversity of salivary microbiota in the PN group were higher than those in the HC group ( Conclusion: Changes in salivary microbiota are closely associated with PN and may induce the development of PN or malignant transformation of PN, which indicates the potential of salivary microbiota to be used as a new non-invasive humoral marker for the early diagnosis of PN.

Indexed as

MicrobiotaSalivaHumansPhylogenyProspective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16SBiomarkersLiquid biopsyOral microbiomeProspective trialPulmonary nodule

Identifiers

PMID38162086
PMCPMC10752765
OpenAlexW4390507580

What OpenQuestion holds

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LicenceCC BY-NC
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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.