Evidence map›Paper›PMID 30203607›Full record

ArticleJournal of clinical laboratory analysis2019

Characterization of the vaginal microbiome during cytolytic vaginosis using high-throughput sequencing.

Haihong Xu, Xueying Zhang, Wenwu Yao, Yi Sun, Yanjun Zhang

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Review
  3. Engineered Tissue Models to Decode Host-Microbiota Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Concordance Between Clinical and Laboratory Diagnosis of Abnormal Vaginal Discharge in Chilean Women.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2021
    Article
  11. Article
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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

5 authors at 3 institutions in 1 country.

Haihong XuSir Run Run Shaw Hospital School of Medicine, Zhejiang University, Hangzhou, China.
Xueying ZhangWomen's Hospital School of Medicine, Zhejiang University, Hangzhou, China.
Wenwu YaoZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Yi SunZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Yanjun ZhangZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.ORCID http://orcid.org/0000-0003-4070-6844
Zhejiang Center for Disease Control and Prevention · CNSir Run Run Shaw Hospital · CNWomen's Hospital, School of Medicine, Zhejiang University · CN

Funding

Zhejiang Provincial Natural Science Foundation of China LY18H040001
6 · The paper itself

Abstract

backgroundCytolytic vaginosis (CV) is a common disease that results in pruritus, dyspareunia, and vulvar dysuria. However, the pathological mechanisms of the disease are still unclear. Compared to traditional methods, high-throughput sequencing can obtain more accurate qualitative and quantitative information on the microbiome.

methodsWe collected 75 samples from 32 healthy women (average age 44 ± 8) and 43 patients with CV (average age 38 ± 8). We used high-throughput sequencing of the 16S rRNA V3-V4 region to characterize and compare the vaginal microbiota of patients with CV and healthy women and to identify potential biomarkers for CV.

resultsThe vaginal pH of patients with CV was ≤3.8, and the vaginal concentration of H

conclusionThe abundance of Lactobacillus spp. in CV patients was significantly different from that of healthy patients. Two suitable biomarkers, L. crispatus and Lactobacillus sp. L-YJ, were identified. These results will be useful for the identification of women at risk of serious illness before they develop obvious symptoms.

Indexed as

AdultBacteriaDNA, BacterialFemaleHigh-Throughput Nucleotide SequencingHumansMicrobiotaSequence Analysis, DNAVaginaVaginosis, BacterialDNA, Bacterialcytolytic vaginosishigh-throughput sequencingvaginal microbiomes

Identifiers

PMID30203607
PMCPMC6430347
OpenAlexW2890796041

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.