Evidence map›Paper›PMID 33765914›Full record

ArticleBMC microbiology2021

Distinction between vaginal and cervical microbiota in high-risk human papilloma virus-infected women in China.

Zhan Zhang, Ting Li, Dai Zhang, Xiaonan Zong, Huihui Bai, Hui Bi, Zhaohui Liu

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 5 pooled it
4.5field-weighted citation impact, top 4% 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, 5 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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  11. Frontiers in cellular and infection microbiology · 2025
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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

7 authors at 2 institutions in 1 country.

Zhan Zhang *The Gynecology Department of Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No. 251 of Yaojiayuan Road, Chaoyang District, Beijing, China.
Ting Li *The Gynecology Department of Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No. 251 of Yaojiayuan Road, Chaoyang District, Beijing, China.
Dai ZhangThe Gynecology Department of Peking University First Hospital, No. 1 of Xi'anmen Street, Xicheng District, Beijing, China.
Xiaonan ZongThe Gynecology Department of Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No. 251 of Yaojiayuan Road, Chaoyang District, Beijing, China.
Huihui BaiThe Microecological Laboratory of Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No. 251 of Yaojiayuan Road, Chaoyang District, Beijing, China.
Hui BiThe Gynecology Department of Peking University First Hospital, No. 1 of Xi'anmen Street, Xicheng District, Beijing, China. 2900234452@qq.com.
Zhaohui LiuThe Gynecology Department of Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No. 251 of Yaojiayuan Road, Chaoyang District, Beijing, China. liuzhaohui@ccmu.edu.cn.ORCID 0000-0001-7402-7095
Capital Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-risk human papilloma virus (hrHPV) is the main causal factor of cervical precancer and cancer when persistent infection is left untreated. Previous studies have confirmed the vaginal microbiota is associated with HPV infection and the development of cervical lesions. The microbiota at different parts of the female genital tract is closely related but different from each other. To analyze the distinction between the vaginal and cervical microbiota of hrHPV(+) women in China, one hundred subjects were recruited, including 10 patients with HPV16/18(+) and cervical carcinoma, 38 patients with HPV16/18(+) but no cervical carcinoma, 32 patients with other hrHPV(+) and 20 healthy controls with HPV(-). Vaginal and cervical microbiota were separately tested through next-generation sequencing (NGS) targeting the variable region (V3-V4) of the bacterial ribosome 16S rRNA gene.

resultsHrHPV(+) subjects had higher percentages of vaginal douching history (P = 0.001), showed more frequent usage of sanitary pads (P = 0.007), had more sex partners (P = 0.047), were more sexually active (P = 0.025) and more diversed in ways of contraception (P = 0.001). The alpha diversity of the cervical microbiota was higher than that of the vagina. The cervical microbiota consisted of a lower percentage of Firmicutes and a higher percentage of Proteobacteria than the vagina at the phylum level. Sphingomonas, belonging to α-Proteobacteria, was almost below the detection limit in the vagina but accounted for five to 10 % of the bacteria in the hrHPV(-) cervix (P<0.001) and was inversely associated with hrHPV infection (P<0.05). Pseudomonas, belonging to γ-Proteobacteria, could hardly be seen in the normal vagina and shared a small percentage in the normal cervix but was significantly higher in the HPV16/18(+) (P<0.001) and cancerous cervix (P<0.05). No significant difference was shown in the percentage of BV associated anaerobes, like Gardnerella, Prevotella, Atopobium and Sneathia, between the cevix and vigina.

conclusionsThe proportion of Proteobacteria was significantly higher in the cervical microbiota than that of vagina. The hrHPV infection and cervical cancer was positively associated with Pseudomonas and negatively associated with Sphingomonas. It is of great improtance to deeply explore the cervical microbiota and its function in cervical cacinogenesis.

Indexed as

Cervix UteriChinaFemaleHumansMicrobiotaPapillomaviridaePapillomavirus InfectionsRNA, Ribosomal, 16SVaginaRNA, Ribosomal, 16SCervical microbiotaDifferenceHigh-risk human papilloma virusVaginal microbiota

Identifiers

PMID33765914
PMCPMC7993496
OpenAlexW3137231068

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.