Evidence map›Paper›PMID 28253272›Full record

SynthesisPLoS neglected tropical diseases2017

Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis.

Ying-Si Lai, Xiao-Nong Zhou, Zhi-Heng Pan, Jürg Utzinger, Penelope Vounatsou

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Investigation of the inhibitory effects of total flavonoids of litchi seed onFrontiers in cellular and infection microbiology · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. The spatial-temporal risk profiling ofThe Lancet regional health. Western Pacific · 2023
    Article
  9. Article
  10. Cholangiocarcinoma.Nature reviews. Disease primers · 2021
    Review
  11. Attributable deaths of liver cancer in China.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2021
    Article
  12. Article
  13. Article
  14. Risk Factors forFrontiers in public health · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 3 institutions in 2 countries.

Ying-Si LaiSwiss Tropical and Public Health Institute, Basel, Switzerland.
Xiao-Nong ZhouNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China.
Zhi-Heng PanTianjin Modern Vocational Technology College, Tianjin, People's Republic of China.
Jürg UtzingerSwiss Tropical and Public Health Institute, Basel, Switzerland.
Penelope VounatsouSwiss Tropical and Public Health Institute, Basel, Switzerland.
University of Basel · CHNational Institute for Parasitic Diseases · CNTianjin Vocational Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClonorchiasis, one of the most important food-borne trematodiases, affects more than 12 million people in the People's Republic of China (P.R. China). Spatially explicit risk estimates of Clonorchis sinensis infection are needed in order to target control interventions. METHODOLOGY: Georeferenced survey data pertaining to infection prevalence of C. sinensis in P.R. China from 2000 onwards were obtained via a systematic review in PubMed, ISI Web of Science, Chinese National Knowledge Internet, and Wanfang Data from January 1, 2000 until January 10, 2016, with no restriction of language or study design. Additional disease data were provided by the National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention in Shanghai. Environmental and socioeconomic proxies were extracted from remote-sensing and other data sources. Bayesian variable selection was carried out to identify the most important predictors of C. sinensis risk. Geostatistical models were applied to quantify the association between infection risk and the predictors of the disease, and to predict the risk of infection across P.R. China at high spatial resolution (over a grid with grid cell size of 5×5 km). PRINCIPAL

findingsWe obtained clonorchiasis survey data at 633 unique locations in P.R. China. We observed that the risk of C. sinensis infection increased over time, particularly from 2005 onwards. We estimate that around 14.8 million (95% Bayesian credible interval 13.8-15.8 million) people in P.R. China were infected with C. sinensis in 2010. Highly endemic areas (≥ 20%) were concentrated in southern and northeastern parts of the country. The provinces with the highest risk of infection and the largest number of infected people were Guangdong, Guangxi, and Heilongjiang. CONCLUSIONS/SIGNIFICANCE: Our results provide spatially relevant information for guiding clonorchiasis control interventions in P.R. China. The trend toward higher risk of C. sinensis infection in the recent past urges the Chinese government to pay more attention to the public health importance of clonorchiasis and to target interventions to high-risk areas.

Indexed as

Topography, MedicalAnimalsBayes TheoremChinaClonorchiasisClonorchis sinensisDemographyHumansPrevalenceRisk AssessmentSpatial Analysis

Identifiers

PMID28253272
PMCPMC5416880
OpenAlexW2591795131

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.