Evidence map›Paper›PMID 37199621›Full record

ArticleMicrobiology spectrum2023

Single-Molecule Approach to 16S rRNA for Vaginal Microbiome Signatures in Response to Metronidazole Treatment.

Hanyu Qin, Jiao Jiao, Disi A, Mingxi Hua, Kai Han, Haonan Du, Zhen Wang, Jiarui Li, Dai Zhang, Bingbing Xiao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Regulatory Effects ofMicroorganisms · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

11 authors at 3 institutions in 1 country.

Hanyu Qin *Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China.
Jiao Jiao *Center of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Disi ADepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China.
Mingxi HuaBiomedical Innovation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Kai HanBiomedical Innovation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Haonan DuDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China.
Zhen WangCenter of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Jiarui LiBiomedical Innovation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Dai ZhangDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China.
Bingbing XiaoDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China.ORCID 0000-0001-5448-378X
Chen ChenBiomedical Innovation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-1765-8899
Peking University · CNCapital Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial vaginosis (BV) is the most common infection of the lower reproductive tract among women of reproductive age, characterized by a depletion of health-associated

Indexed as

MicrobiotaVaginosis, BacterialFemaleHigh-Throughput Nucleotide SequencingHumansLactobacillusMetronidazoleRNA, Ribosomal, 16SVaginaMetronidazoleRNA, Ribosomal, 16S16S rRNA genebacterial vaginosisLactobacillusmetronidazolePrevotellasingle-molecule sequencing approachvaginal microbiology

Identifiers

PMID37199621
PMCPMC10269914
OpenAlexW4377011117

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.