Evidence map›Paper›PMID 30294592›Full record

ArticleFrontiers in cellular and infection microbiology2018

Gene Expression Signatures Can Aid Diagnosis of Sexually Transmitted Infection-Induced Endometritis in Women.

Xiaojing Zheng, Catherine M O'Connell, Wujuan Zhong, Taylor B Poston, Harold C Wiesenfeld, Sharon L Hillier, Maria Trent, Charlotte Gaydos, George Tseng, Brandie D Taylor and 1 more

Registry-linked trialOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03828994 (Technology Based Community Health Nursing), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 23% 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.

NCT03828994 naactive not recruitingnot on this mapstarted 2019, after this paper: background citation

Technology Based Community Health Nursing(TECH-N) to Prevent Recurrent STIs After PID

TypeinterventionalSponsorJohns Hopkins UniversityRan2019 to 2027Enrolled150ConditionsPelvic Inflammatory DiseaseArmsTech-PN
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Cervicovaginal microbial features predictInfection and immunity · 2025
    Article
  4. Article
  5. Review
  6. Management of Pelvic Inflammatory Disease in Clinical Practice.Therapeutics and clinical risk management · 2023
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Diagnosis of Chlamydia trachomatis genital infections in the era of genomic medicine.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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 5 institutions in 1 country.

Xiaojing ZhengDepartment of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Catherine M O'ConnellDepartment of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Wujuan ZhongDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Taylor B PostonDepartment of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Harold C WiesenfeldDepartment of Obstetrics, Gynecology and Reproductive Sciences, Magee-Womens Research Institute, Pittsburgh, PA, United States.
Sharon L HillierDepartment of Obstetrics, Gynecology and Reproductive Sciences, Magee-Womens Research Institute, Pittsburgh, PA, United States.
Maria TrentSection on Adolescent Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Charlotte GaydosDivision of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
George TsengDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States.
Brandie D TaylorDepartment of Epidemiology and Biostatistics, Texas A&M University, College Station, TX, United States.
Toni DarvilleDepartment of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
University of North Carolina at Chapel Hill · USJohns Hopkins University · USUniversity of Pittsburgh · USMagee-Womens Research Institute · USTexas A&M University · US

Funding

LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
TrainingU54EB007958 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Yukari C Manabe, Susan Anne Tuddenham · 2007 to 2026
$34.6M
The UPMC Sexually Transmitted Infections Cooperative Research CenterU19AI084024 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI · 2009 to 2013
$12.9M
The Atlantic Coast Sexually Transmitted Infection Cooperative Research Center (ACU19AI113170 · NIAID · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI JERSE, ANN E. · 2014 to 2018
$6.9M
Technology Enhanced Community Health Nursing to Reduce Recurrent STIs after PIDR01NR013507 · NINR · JOHNS HOPKINS UNIVERSITY · PI TRENT, MARIA E. · 2012 to 2023
$5.2M
Natural Immunity Against Chlamydia trachomatisR01AI119164 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI · 2016 to 2020
$3.6M
Identifying Biomarkers and Genetic Risk Factors Predictive of Reproductive SequelR33AI098660 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI · 2014 to 2016
$1.3M
Natural Immunity Against Chlamydia trachomatisR56AI119164 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI · 2015 to 2015
$701k
Identifying Biomarkers and Genetic Risk Factors Predictive of Reproductive SequelR21AI098660 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI · 2012 to 2013
$359k
NIAID NIH HHS R01 AI119164NIAID NIH HHS R21 AI098660NIAID NIH HHS R33 AI098660NIAID NIH HHS R56 AI119164NIAID NIH HHS U19 AI084024NIAID NIH HHS U19 AI113170NIAID NIH HHS UM1 AI068613NIBIB NIH HHS U54 EB007958NINR NIH HHS R01 NR013507
6 · The paper itself

Abstract

Sexually transmitted infection (STI) of the upper reproductive tract can result in inflammation and infertility. A biomarker of STI-induced upper tract inflammation would be significant as many women are asymptomatic and delayed treatment increases risk of sequelae. Blood mRNA from 111 women from three cohorts was profiled using microarray. Unsupervised analysis revealed a transcriptional profile that distinguished 9 cases of STI-induced endometritis from 18 with cervical STI or uninfected controls. Using a hybrid feature selection algorithm we identified 21 genes that yielded maximal classification accuracy within our training dataset. Predictive accuracy was evaluated using an independent testing dataset of 5 cases and 10 controls. Sensitivity was evaluated in a separate test set of 12 women with asymptomatic STI-induced endometritis in whom cervical burden was determined by PCR; and specificity in an additional test set of 15 uninfected women with pelvic pain due to unknown cause. Disease module preservation was assessed in 42 women with a clinical diagnosis of pelvic inflammatory disease (PID). We also tested the ability of the biomarker to discriminate STI-induced endometritis from other diseases. The biomarker was 86.7% (13/15) accurate in correctly distinguishing cases from controls in the testing dataset. Sensitivity was 83.3% (5/6) in women with high cervical

Indexed as

TranscriptomeAsymptomatic DiseasesChlamydia InfectionsEndometritisFemaleGene Expression ProfilingHumansMicroarray AnalysisRNA, MessengerSensitivity and SpecificitySexually Transmitted DiseasesRNA, MessengerbiomarkerChlamydiagonorrheamRNApelvic inflammatory disease

Identifiers

PMID30294592
PMCPMC6158555
OpenAlexW2892154725

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.