Evidence map›Paper›PMID 22460215›Full record

ArticleEmerging health threats journal2008

Syphilis in China: the great comeback.

T Hesketh, Xj Ye, Wx Zhu

Abstract read
In one paragraph

Article in Emerging health threats journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
0.3field-weighted citation impact, top 35% 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.

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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Prevalence ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  6. Spatiotemporal analysis of 11 years ofThe Lancet regional health. Western Pacific · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. An outbreak of syphilis in Darkhan-Uul, Mongolia, January to March 2012.Western Pacific surveillance and response journal : WPSAR · 2012
    Article
  11. 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

3 authors at 2 institutions in 2 countries.

T HeskethUCL Centre for International Health and Development, Institute of Child Health, University College London, London, UK.
Xj Ye
Wx Zhu
London International Development Centre · GBZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is currently witnessing a major resurgence of syphilis from the elimination of the disease in the 1960s to 5.3 per 100,000 people incidence in 2000-2005. The reasons for the elimination and subsequent resurgence of syphilis in China lie at the heart of much public health debate, highlighting both the relationship between politics and public health, and the role of government in controlling disease. Were the Draconian measures to control syphilis during the early Mao years a price worth paying for the effective control? Is the recent resurgence of syphilis an inevitable consequence of economic development and greater freedom for the individual, which will ultimately lead to better health for the majority of the population? Could tougher control measures such as those of the early Mao years be re-introduced in the current social and economic climate in China? In this review, we briefly chart the history of the syphilis epidemic in China, its elimination in the 1960s, and its gradual resurgence in the past two decades. We explore the reasons for this resurgence, and we conclude with a discussion on the options for control.

Identifiers

PMID22460215
PMCPMC3167587
OpenAlexW2148541476

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.