Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Full-length transcriptome analysis and identification of the HXK gene family of <i>Lilium tsingtauense</i>].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2026
Same author

rSiglec-10(V set) armed oncolytic adenovirus improves the effects of virotherapy through enhancing oncolysis and antitumor immunity.

International immunopharmacology·2026
Same author

A Low-Profile Self-Stealth Programmable Metasurface with In-Band and Out-of-Band RCS Reduction.

Research (Washington, D.C.)·2026
Same author

Wavelet Spectrum in a Multi-Channel Network May Reduce Biopsy Rates on Diagnosis of Breast Tumors with BI-RADS Category 4a or Higher.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine·2026
Same author

Self-assembled micelles stabilized by covalent α-lipoic acid-carboxymethyl chitosan conjugates: Enabling stable delivery and glutathione-responsive release of coenzyme Q10.

Food research international (Ottawa, Ont.)·2026
Same author

Integrated Serum Pharmacochemistry, Network Pharmacology, and Experimental Validation to Explore the Active Components and Potential Mechanisms of Jujube Against Alcoholic Liver Disease.

Biomedical chromatography : BMC·2026

Related Experiment Video

Updated: Oct 11, 2025

Author Spotlight: Advancing Immune Monitoring in Critical Care Patients Using Whole Blood Assays
06:03

Author Spotlight: Advancing Immune Monitoring in Critical Care Patients Using Whole Blood Assays

Published on: September 20, 2024

1.5K

Predicting asymptomatic neurosyphilis using peripheral blood indicators.

Weijie Li1, Jiaqi Han2, Pan Zhao3

  • 1Department of Clinical Laboratory, Beijing Ditan Hospital Capital Medical University, Beijing, China.

BMC Infectious Diseases
|November 27, 2021
PubMed
Summary
This summary is machine-generated.

A new logistic regression model (LRM) effectively diagnoses asymptomatic neurosyphilis (ANS) in asymptomatic syphilis (AS) patients. This tool aids clinicians in identifying ANS, particularly when cerebrospinal fluid (CSF) tests are not feasible.

Keywords:
Asymptomatic neurosyphilisCerebrospinal fluidLogistic regression modelLumbar punctureNeurosyphilis

More Related Videos

Targeting Alpha Synuclein Aggregates in Cutaneous Peripheral Nerve Fibers by Free-floating Immunofluorescence Assay
08:33

Targeting Alpha Synuclein Aggregates in Cutaneous Peripheral Nerve Fibers by Free-floating Immunofluorescence Assay

Published on: June 25, 2019

8.4K
The &#945;-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva
11:22

The α-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva

Published on: May 16, 2012

14.0K

Related Experiment Videos

Last Updated: Oct 11, 2025

Author Spotlight: Advancing Immune Monitoring in Critical Care Patients Using Whole Blood Assays
06:03

Author Spotlight: Advancing Immune Monitoring in Critical Care Patients Using Whole Blood Assays

Published on: September 20, 2024

1.5K
Targeting Alpha Synuclein Aggregates in Cutaneous Peripheral Nerve Fibers by Free-floating Immunofluorescence Assay
08:33

Targeting Alpha Synuclein Aggregates in Cutaneous Peripheral Nerve Fibers by Free-floating Immunofluorescence Assay

Published on: June 25, 2019

8.4K
The &#945;-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva
11:22

The α-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva

Published on: May 16, 2012

14.0K

Area of Science:

  • Infectious Diseases
  • Neurology
  • Medical Diagnostics

Background:

  • Asymptomatic neurosyphilis (ANS) poses a diagnostic challenge due to high misdiagnosis rates.
  • Current diagnostic methods for ANS in asymptomatic syphilis (AS) patients often rely on cerebrospinal fluid (CSF) indicators, which may not always be available or conclusive.

Purpose of the Study:

  • To develop and validate a predictive model for diagnosing ANS in AS patients.
  • To provide a diagnostic tool for ANS that does not solely rely on CSF indicators.

Main Methods:

  • A horizontal study involving 277 HIV-negative AS patients who underwent lumbar puncture.
  • Development of a logistic regression model (LRM) to predict ANS.
  • Evaluation of the model's diagnostic performance using area under the curve (AUC) and Youden's index.

Main Results:

  • The LRM achieved an AUC of 0.806 for diagnosing ANS, significantly outperforming CSF leukocytes (AUC 0.643) and protein (AUC 0.675).
  • A score ≤ 0.159 effectively excluded ANS (92.9% predictive value).
  • A score > 0.819 identified ANS with 91.7% predictive value and 99.25% specificity.

Conclusions:

  • The developed LRM is a practical and effective tool for diagnosing ANS in AS patients.
  • This model offers a valuable alternative for clinicians managing suspected syphilis cases, especially when CSF testing is not an option.
  • The study addresses the limitations of current diagnostic approaches and aims to reduce ANS misdiagnosis.