Evidence map›Paper›PMID 33947805›Full record

ArticlemSystems2021

A MicroRNA Gene Panel Predicts the Vaginal Microbiota Composition.

Liqin Cheng, Dominika Kaźmierczak, Johanna Norenhag, Marica Hamsten, Emma Fransson, Ina Schuppe-Koistinen, Matts Olovsson, Lars Engstrand, Per Hydbring, Juan Du

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2021. 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
0.8field-weighted citation impact, top 29% 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, 11 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Liqin ChengDepartment of Microbiology, Tumor and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Stockholm, Sweden.
Dominika KaźmierczakDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Johanna NorenhagDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Marica HamstenDepartment of Microbiology, Tumor and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Stockholm, Sweden.
Emma FranssonDepartment of Microbiology, Tumor and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Stockholm, Sweden.
Ina Schuppe-KoistinenDepartment of Microbiology, Tumor and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Stockholm, Sweden.
Matts OlovssonDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Lars EngstrandDepartment of Microbiology, Tumor and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-7713-2373
Per Hydbring *Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden per.hydbring@ki.se juan.du@ki.se.
Juan Du *Department of Microbiology, Tumor and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Stockholm, Sweden per.hydbring@ki.se juan.du@ki.se.ORCID https://orcid.org/0000-0001-7649-9571
Karolinska Institutet · SEUppsala University · SEScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The vaginal microbiota plays an essential role in vaginal health. The vaginas of many reproductive-age women are dominated by one of the

Indexed as

human papillomavirusLactobacillus-dominatedmicroRNAsnon-Lactobacillus-dominatedvaginal microbiota

Identifiers

PMID33947805
PMCPMC8269211
OpenAlexW3157418829

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.