Evidence map›Paper›PMID 41368008›Full record

ArticleThe Lancet regional health. Western Pacific2025

Prioritizing interventions for echinococcosis prevention in China: a population attributable fraction analysis.

Shuaiming Xu, Quzhen Danzeng, Bing Guo, Peidi Xu, Lingxi Gu, Yajie Zhao, Xiong Guo, Yuling Tang, Yang Chang, Gonghua Wu and 1 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Shuaiming XuWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.
Quzhen DanzengTibet Center for Disease Control & Prevention and the National Key Laboratory for Echinococcosis Prevention and Control, National Health Commission, China.
Bing GuoWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.
Peidi XuWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.
Lingxi GuWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.
Yajie ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.
Xiong GuoWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.
Yuling TangWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.
Yang ChangWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.
Gonghua WuWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.
Xing ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite population-level control efforts, human echinococcosis continues to pose a public health challenge in China. Targeting modifiable risk factors at the individual level could be another recipe, but the priority targets for intervention remain unclear. Our aim was to quantify the potential health gains of hypothetical interventions on modifiable risk factors for human echinococcosis, informing effective control strategies. Methods: We collected and aggregated data on the association between modifiable risk factors and human echinococcosis and national total echinococcosis (cystic echinococcosis [CE], alveolar echinococcosis [AE], and other unclassified cases) incidence during 2007-2020 in China. A Bayesian hierarchical model was developed to pool effect estimates for modifiable risk factors associated with total echinococcosis and its subtypes (CE and AE), while accounting for the adequacy of confounding adjustment. Additionally, we evaluated the preventable burden of human echinococcosis via the annual number of total echinococcosis cases attributable to modifiable risk factors deriving from the population attributable fractions (PAFs). Findings: Twelve risk factors for human echinococcosis were identified from 25 studies across nine endemic provinces and autonomous regions in China, with PAFs ranging from 2.2% to 41.2%. The highest PAFs were observed for surface water sources for drinking (PAF: 41.2%; 95% confidence interval [CI]: 18.9-55.9) and the presence of stray dogs around residences (PAF: 34.9%; 15.8-55.1), accounting for 1437 (95% CI: 658-1947) and 1216 (552-1921) preventable annual total echinococcosis cases, respectively. Drinking unboiled water followed, with a PAF of 33.5% (6.2-54.8) and 1167 (217-1910) preventable cases annually. In contrast, the lowest PAF was estimated for exposure to foxes or fox-derived materials (PAF: 2.2%; 0.5-4.3). Surface water sources for drinking and free-roaming owned dogs showed the highest PAFs for CE (42.6%; 19.7-56.5) and AE (49.4%; 34.8-60.2), respectively. Simultaneously eliminating the presence of stray dogs around residences and surface water sources for drinking was the most-effective among available pair-wise combination of risk factors, in which 75.3% (1621/2152) of preventable total echinococcosis cases are concentrated in Xinjiang Uygur Autonomous Region (833; 519-1005), Qinghai Province (396; 247-478), and Sichuan Province (392; 244-473). Interpretation: Interventions targeting drinking water safety and responsible dog management could reduce echinococcosis incidence in China. Public health efforts should prioritize high-prevalence regions such as Xinjiang Uygur Autonomous Region, Qinghai Province, and Sichuan Province to maximize impact. Funding: NHC Key Laboratory of Echinococcosis Prevention and Control (no. 21H1234) and Postdoctoral Fellowship Program of CPSF (no. GZB20250191).

Indexed as

Bayesian hierarchical modelEchinococcosisModifiable risk factorsNeglected tropical diseasesParasitic infectionsPopulation attributable fractionPreventable disease burdenPublic health intervention

Identifiers

PMID41368008
PMCPMC12685506

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.