Evidence map›Paper›PMID 28216066›Full record

ArticleEBioMedicine2017

The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma.

Xiao-Xia Zhu, Xiao-Jun Yang, Yi-Lan Chao, Hui-Min Zheng, Hua-Fang Sheng, Hai-Yue Liu, Yan He, Hong-Wei Zhou

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 2% 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

95 citing papers in PubMed, 2 syntheses or guidelines pooled it, 160 citations in OpenAlex.

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  12. Effectiveness ofFrontiers in immunology · 2026
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  15. The Role ofCancers · 2025
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35 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Xiao-Xia ZhuDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
Xiao-Jun YangDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
Yi-Lan ChaoDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
Hui-Min ZhengState Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China.
Hua-Fang ShengState Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China.
Hai-Yue LiuState Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China.
Yan HeState Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China.
Hong-Wei ZhouState Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China. Electronic address: biodegradation@gmail.com.
Southern Medical University · CNZhujiang Hospital · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral mucositis is probably the most debilitating complication that can arise in treating a patient with head and neck cancer. Little is known about the impacts of oral microbiota on the initiation and progression of mucositis.

methodsBased on 16S rRNA gene sequencing, dynamic changes in oral bacterial profile as well as correlations between the severity of mucositis and bacterial shifts during radiotherapy were investigated.

findingsOur results revealed that bacterial community structure altered progressively during radiation therapy, in parallel with a marked increase in the relative abundance of some Gram-negative bacteria. Patients who eventually developed severe mucositis harbored a significantly lower bacterial alpha diversity and higher abundance of Actinobacillus during the phase of erythema - patchy mucositis. Accordingly, a random forest model for predicting exacerbation of mucositis was generated, which achieved a high predictive accuracy (AUC) of 0.89.

interpretationOral microbiota changes correlate with the progression and aggravation of radiotherapy-induced mucositis in patients with nasopharyngeal carcinoma. Microbiota-based strategies can be used for the early prediction and prevention of the incidence of severe mucositis during radiotherapy.

Indexed as

MicrobiotaActinobacillusAdultAgedCarcinomaDNAFemaleGram-Negative BacteriaHumansMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsRadiation DosageRadiation, IonizingRNA, Ribosomal, 16SDNARNA, Ribosomal, 16SMicrobiotaNasopharyngeal carcinomaOral mucositisRadiotherapy

Identifiers

PMID28216066
PMCPMC5405060
OpenAlexW2586127268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.