Evidence map›Paper›PMID 33050261›Full record

ArticleViruses2020

Characterization of the Vaginal DNA Virome in Health and Dysbiosis.

Rasmus Riemer Jakobsen, Thor Haahr, Peter Humaidan, Jørgen Skov Jensen, Witold Piotr Kot, Josue Leonardo Castro-Mejia, Ling Deng, Thomas Dyrmann Leser, Dennis Sandris Nielsen

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
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  13. Bacteriophage-mediated reduction of uropathogenicbioRxiv : the preprint server for biology · 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

9 authors at 4 institutions in 1 country.

Rasmus Riemer JakobsenSection of Microbiology and Fermentation, Department of Food Science, Faculty of Science, University of Copenhagen, DK-1958 Copenhagen, Denmark.ORCID 0000-0001-7416-1358
Thor HaahrDepartment of Clinical Medicine, Aarhus University, DK-8200 Aarhus, Denmark.ORCID 0000-0001-9304-5299
Peter HumaidanDepartment of Clinical Medicine, Aarhus University, DK-8200 Aarhus, Denmark.
Jørgen Skov JensenResearch Unit for Reproductive Microbiology, Statens Serum Institut, DK-2300 Copenhagen, Denmark.ORCID 0000-0002-7464-7435
Witold Piotr KotDepartment of Environmental Sciences, Aarhus University, Risø, 4000 Roskilde, Denmark.
Josue Leonardo Castro-MejiaSection of Microbiology and Fermentation, Department of Food Science, Faculty of Science, University of Copenhagen, DK-1958 Copenhagen, Denmark.
Ling DengSection of Microbiology and Fermentation, Department of Food Science, Faculty of Science, University of Copenhagen, DK-1958 Copenhagen, Denmark.
Thomas Dyrmann LeserHuman Health, Innovation, Chr. Hansen A/S, 10-12 Boege Allé, DK-2970 Hoersholm, Denmark.
Dennis Sandris NielsenSection of Microbiology and Fermentation, Department of Food Science, Faculty of Science, University of Copenhagen, DK-1958 Copenhagen, Denmark.
University of Copenhagen · DKAarhus University · DKChr. Hansen (Denmark) · DKStatens Serum Institut · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial vaginosis (BV) is characterized by a reduction in

Indexed as

AdultBacteriaBacteriophagesCross-Sectional StudiesDysbiosisFemaleHumansLactobacillusVaginaVaginosis, BacterialViromeYoung Adultbacterial vaginosisbacteriophagesdysbiosisvaginal microbiomevaginal virome

Identifiers

PMID33050261
PMCPMC7600586
OpenAlexW3091954559

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.