Evidence map›Paper›PMID 39335716›Full record

ArticleDiagnostics (Basel, Switzerland)2024

A Metagenomics Pipeline to Characterize Self-Collected Vaginal Microbiome Samples.

Krystal Thomas-White, Evann E Hilt, Genevieve Olmschenk, Maryann Gong, Caleb D Phillips, Courtney Jarvis, Nicholas Sanford, Jennifer White, Pita Navarro

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Bacterial vaginosis.Nature reviews. Disease primers · 2025
    Review
  4. 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

9 authors.

Krystal Thomas-WhiteEvvy, New York, NY 10016, USA.
Evann E HiltDepartment of Pathology and Laboratory Medicine, University of Minnesota Medical Center, Minneapolis, MN 55455, USA.ORCID 0000-0001-7787-1961
Genevieve OlmschenkEvvy, New York, NY 10016, USA.
Maryann GongEvvy, New York, NY 10016, USA.
Caleb D PhillipsDepartment of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA.
Courtney JarvisMicrogenDX, Lubbock, TX 79407, USA.
Nicholas SanfordMicrogenDX, Lubbock, TX 79407, USA.ORCID 0000-0002-7451-8684
Jennifer WhiteMicrogenDX, Lubbock, TX 79407, USA.
Pita NavarroEvvy, New York, NY 10016, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaginitis is a widespread issue for women worldwide, yet current diagnostic tools are lacking. Bacterial vaginosis (BV) is the most prevalent type of vaginitis, found in 10-50% of reproductive-aged women. Current diagnostic methods for BV rely on clinical criteria, microscopy, or the detection of a few microbes by qPCR. However, many vaginal infections lack a single etiological agent and are characterized by changes in the vaginal microbiome community structure (e.g., BV is defined as a loss of protective lactobacilli resulting in an overgrowth of anaerobic bacteria). Shotgun metagenomic sequencing provides a comprehensive view of all the organisms present in the vaginal microbiome (VMB), allowing for a better understanding of all potential etiologies. Here, we describe a robust VMB metagenomics sequencing test with a sensitivity of 93.1%, a specificity of 90%, a negative predictive value of 93.4%, and a positive predictive value of 89.6% certified by Clinical Laboratory Improvement Amendments (CLIA), the College of American Pathologist (CAP), and the Clinical Laboratory Evaluation Program (CLEP). We sequenced over 7000 human vaginal samples with this pipeline and described general findings and comparisons to US census data.

Indexed as

shotgun metagenomic sequencingvaginal microbiomevaginitis

Identifiers

PMID39335716
PMCPMC11431210

What OpenQuestion holds

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Registered trials

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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.