Evidence map›Paper›PMID 41019376›Full record

ArticleiScience2025

John Osei Sekyere, Jason Trama, Martin Adelson, Charulata Trikannad, Desiree DiBlasi, Rachel Schuster, Jing Jing Yang, Eli Mordechai

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
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  8. Review
  9. 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

8 authors.

John Osei SekyereInstitute of Biomarker Research, Department of Clinical Development, Medical Diagnostic Laboratories, Hamilton Township, NJ 08690, USA.
Jason TramaInstitute of Biomarker Research, Department of Clinical Development, Medical Diagnostic Laboratories, Hamilton Township, NJ 08690, USA.
Martin AdelsonInstitute of Biomarker Research, Department of Clinical Development, Medical Diagnostic Laboratories, Hamilton Township, NJ 08690, USA.
Charulata TrikannadInstitute of Biomarker Research, Department of Clinical Development, Medical Diagnostic Laboratories, Hamilton Township, NJ 08690, USA.
Desiree DiBlasiInstitute of Biomarker Research, Department of Clinical Development, Medical Diagnostic Laboratories, Hamilton Township, NJ 08690, USA.
Rachel SchusterInstitute of Biomarker Research, Department of Clinical Development, Medical Diagnostic Laboratories, Hamilton Township, NJ 08690, USA.
Jing Jing YangInstitute of Biomarker Research, Department of Clinical Development, Medical Diagnostic Laboratories, Hamilton Township, NJ 08690, USA.
Eli MordechaiInstitute of Biomarker Research, Department of Clinical Development, Medical Diagnostic Laboratories, Hamilton Township, NJ 08690, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cervicovaginal microbiome modulates susceptibility to bacterial vaginosis (BV), high-risk human papillomavirus (hrHPV) infection, and epithelial cell abnormalities that precede cervical cancer. We retrospectively analyzed 15 607 qPCR-profiled cervicovaginal specimens from U.S. women (ages 14-95; 32 states) and integrated microbiome abundances, hrHPV genotyping, Pap-cytology, and demographics. BV was present in 53% and hrHPV in 11% of samples. Lactobacillus crispatus, L. gasseri, and L. jensenii were enriched in BV-negative and cytologically normal (NILM) samples, whereas L. iners and BV-associated anaerobes co-occurred with hrHPV and abnormal cytology. Machine-learning models confirmed age, hrHPV status, and L. crispatus abundance as the strongest multivariate predictors of BV and cytological outcomes (BV AUROC ≈0.97). Interaction analyses revealed synergistic associations between specific hrHPV genotypes and Gardnerella/Fannyhessea that further increased cytological risk. These findings underscore the clinical value of microbiome profiling and support probiotic strategies that promote protective Lactobacillus communities to reduce BV and hrHPV-related cervical pathology.

Indexed as

Female reproductive endocrinologyMachine learningMicrobiome

Identifiers

PMID41019376
PMCPMC12466286

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.