Evidence map›Paper›PMID 34417650›Full record

ArticleArchives of microbiology2021

Streptococcus vaginalis sp. nov., a novel bacterial species isolated from vaginal swabs of a pregnant woman with diabetes.

An-Shine Chao, Chiao-Yun Lin, Angel Chao, Yun-Shien Lee, Yu-Chung Chang, Hui-Chung Wu, Yu-Jie Dai, Wei-Qi Liao, Fan-Ching Kao, Yi-Sheng Chen

Abstract read
PubMed Publisher
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Complete genome sequence ofMicrobiology resource announcements · 2026
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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

10 authors.

An-Shine ChaoDepartment of Obstetrics and Gynecology, New Taipei Municipal Tu Cheng Hospital, New Taipei City, Taiwan.
Chiao-Yun LinDepartment of Obstetrics and Gynecology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan.
Angel ChaoDepartment of Obstetrics and Gynecology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan.
Yun-Shien LeeGenomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Yu-Chung ChangDepartment of Biotechnology, Ming Chuan University, No. 5, De-Ming Rd., Guishan Dist., Taoyuan, 333, Taiwan.
Hui-Chung WuDepartment of Biotechnology, Ming Chuan University, No. 5, De-Ming Rd., Guishan Dist., Taoyuan, 333, Taiwan.
Yu-Jie DaiDepartment of Biotechnology, Ming Chuan University, No. 5, De-Ming Rd., Guishan Dist., Taoyuan, 333, Taiwan.
Wei-Qi LiaoDepartment of Biotechnology, Ming Chuan University, No. 5, De-Ming Rd., Guishan Dist., Taoyuan, 333, Taiwan.
Fan-Ching KaoDepartment of Biotechnology, Ming Chuan University, No. 5, De-Ming Rd., Guishan Dist., Taoyuan, 333, Taiwan.
Yi-Sheng ChenDepartment of Biotechnology, Ming Chuan University, No. 5, De-Ming Rd., Guishan Dist., Taoyuan, 333, Taiwan. yisheng@mail.mcu.edu.tw.ORCID http://orcid.org/0000-0001-7583-223X

Funding

Chang Gung Memorial Hospital, Linkou CMRPG3H0711Chang Gung Memorial Hospital, Linkou CMRPG3J0771Chang Gung Memorial Hospital, Linkou CMRPG3J1731Chang Gung Memorial Hospital, Linkou CMRPVVJ0031/2
6 · The paper itself

Abstract

Sequences targeted at the V3 and V4 16S rRNA hypervariable regions of a streptococcal strain (P1L01

Indexed as

Diabetes MellitusPregnant PeopleBacterial Typing TechniquesBase CompositionDNA, BacterialFatty AcidsFemaleHumansNucleic Acid HybridizationPhylogenyPregnancyRNA, Ribosomal, 16SSequence Analysis, DNAStreptococcusDNA, BacterialFatty AcidsRNA, Ribosomal, 16SDiabetesPregnancyStreptococcus vaginalisVaginal environment

Identifiers

PMID34417650

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.