Evidence map›Paper›PMID 30836642›Full record

ArticleInternational journal of environmental research and public health2019

Structural Equation Modeling (SEM) of Cysticercosis in School-Aged Children in Tibetan Rural Farming Areas of Western China: Implications for Intervention Planning.

Huan Zhou, Qingzhi Wang, Junmin Zhou, Tiaoying Li, Alexis Medina, Stephen A Felt, Scott Rozelle, John J Openshaw

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

8 authors at 3 institutions in 2 countries.

Huan ZhouWest China School of Public Health, Sichuan University, Chengdu 610041, China. zhouhuan@scu.edu.cn.
Qingzhi WangWest China School of Public Health, Sichuan University, Chengdu 610041, China. 13183812895@163.com.
Junmin ZhouWest China School of Public Health, Sichuan University, Chengdu 610041, China. junmin.zhou@scu.edu.cn.ORCID 0000-0001-9620-526X
Tiaoying LiInstitute of Parasitic Diseases, Sichuan Centers for Disease Control and Prevention, Chengdu 610041, China. litiaoying@sina.com.
Alexis MedinaFreeman Spogli Institute for International Studies, Stanford University, Stanford, CA 94305, USA. amedina5@stanford.edu.
Stephen A FeltDepartment of Comparative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA. felt@stanford.edu.ORCID 0000-0001-7030-717X
Scott RozelleFreeman Spogli Institute for International Studies, Stanford University, Stanford, CA 94305, USA. rozelle@stanford.edu.
John J OpenshawDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA 94305, USA. jjo@stanford.edu.ORCID 0000-0002-3674-7187
Stanford University · USSichuan University · CNSichuan Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurocysticercosis (NCC) significantly contributes to morbidity in developing countries. We recently published a study of prevalence and risk factors in school-aged children in three mountainous areas in Sichuan province of western China. Using structural equation modeling (SEM) on data from that study to guide intervention planning, here we examine risk factors grouped into three broad interventional categories: sociodemographics, human behavior, and sources of pork and pig husbandry. Because neuroimaging is not easily available, using SEM allows for the use of multiple observed variables (serological tests and symptoms) to represent probable NCC cases. Data collected from 2608 students was included in this analysis. Within this group, seroprevalence of cysticercosis IgG antibodies was 5.4%. SEM results showed that sociodemographic factors (

Indexed as

AdolescentAdultAnimal HusbandryAnimalsChildCysticercosisFarmsFemaleHumansImmunoglobulin GLatent Class AnalysisMalePrevalenceRed MeatRural PopulationSchoolsImmunoglobulin Gintervention planningneurocysticercosisschool-aged childrenstructural equation model

Identifiers

PMID30836642
PMCPMC6427563
OpenAlexW2920275985

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.