ArticleSexually transmitted diseases2018
Syphilis Elimination: Lessons Learned Again.
Article in Sexually transmitted diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Modeling Highlights the Challenge of Achieving and Maintaining Hepatitis C Virus Micro-Elimination Among People Who Inject Drugs.Open forum infectious diseases · 2026Article
- Edge-based modelling for disease transmission on random graphs: an application to mitigate a syphilis outbreak.Royal Society open science · 2025Article
- Article
- Editorial: Spirochetal diseases (syphilis, Lyme disease, and leptospirosis): transmission, pathogenesis, host-pathogen interactions, prevention, and treatment.Frontiers in microbiology · 2024Article
- Lifetime prevalence of syphilis infection among predominantly Black sexual and gender minorities living with HIV in Atlanta, Georgia: a cross-sectional analysis.Ethnicity & health · 2023Article
- A 2021 Update on Syphilis: Taking Stock from Pathogenesis to Vaccines.Pathogens (Basel, Switzerland) · 2021Review
- Turning off the tap: sustaining elimination of congenital syphilis through the programme targeting high-risk groups.Journal of global health · 2019Review
- The resurgence of syphilis in high-income countries in the 2000s: a focus on Europe.Epidemiology and infection · 2019Review
- Advantages and limitations of current diagnostic laboratory approaches in syphilis and congenital syphilis.Expert review of anti-infective therapyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
It is estimated that approximately 20 million new sexually transmitted infections (STIs) occur each year in the United States. The federally funded sexually transmitted disease prevention program implemented by Centers for Disease Control and Prevention is primarily focused on the prevention and control of the three most common bacterial STIs: syphilis, gonorrhea, and chlamydia. A range of factors facilitate the transmission and acquisition of STIs, including syphilis. In 1999, Centers for Disease Control and Prevention launched the National Campaign to Eliminate Syphilis from the United States. The strategies were familiar to public health in general and to sexually transmitted disease control in particular: (1) enhanced surveillance, (2) expanded clinical and laboratory services, ((3) enhanced health promotion, (4) strengthened community involvement and partnerships, and (5) rapid outbreak response. This national commitment to syphilis elimination was not the first effort, and like others before it too did not succeed. However, the lessons learned from this most recent campaign can inform the way forward to a more comprehensive approach to the prevention and control of STIs and improvement in the nation's health.
Indexed as
Identifiers
What OpenQuestion holds
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.