Evidence map›Paper›PMID 29656725›Full record

ArticleEpidemiology and infection2018

Force of infection of Helicobacter pylori in Mexico: evidence from a national survey using a hierarchical Bayesian model.

F Alarid-Escudero, E A Enns, R F MacLehose, J Parsonnet, J Torres, K M Kuntz

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Epidemiology and infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trends inThe Lancet regional health. Western Pacific · 2026
    Article
  2. Article
  3. Lancet regional health. Americas · 2025
    Review
  4. Prevalence and resistance ofWorld journal of gastrointestinal endoscopy · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Estimating the Force of Infection withThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2019
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

F Alarid-EscuderoDivision of Health Policy and Management,University of Minnesota School of Public Health,Minneapolis, MN, 55455,USA.ORCID 0000-0001-5076-1172
E A EnnsDivision of Health Policy and Management,University of Minnesota School of Public Health,Minneapolis, MN, 55455,USA.
R F MacLehoseDivision of Epidemiology and Community Health,University of Minnesota School of Public Health,Minneapolis, MN, 55455,USA.
J ParsonnetDepartments of Medicine and Health Research and Policy,Stanford University School of Medicine,Stanford, CA, 94305-5107,USA.
J TorresMexican Social Security Institute,Mexico City,Mexico.
K M KuntzDivision of Health Policy and Management,University of Minnesota School of Public Health,Minneapolis, MN, 55455,USA.
University of Minnesota · USMexican Social Security Institute · MXStanford University · US

Funding

Mathematical modeling and analysis of HIV care trajectories and retention in care challengesK25AI118476 · NIAID · UNIVERSITY OF MINNESOTA · PI ENNS, EVA A · 2015 to 2019
$649k
NIAID NIH HHS K25 AI118476
6 · The paper itself

Abstract

Helicobacter pylori (H. pylori) is present in the stomach of half of the world's population. The force of infection describes the rate at which susceptibles acquire infection. In this article, we estimated the age-specific force of infection of H. pylori in Mexico. Data came from a national H. pylori seroepidemiology survey collected in Mexico in 1987-88. We modelled the number of individuals with H. pylori at a given age as a binomial random variable. We assumed that the cumulative risk of infection by a given age follows a modified exponential catalytic model, allowing some fraction of the population to remain uninfected. The cumulative risk of infection was modelled for each state in Mexico and were shrunk towards the overall national cumulative risk curve using Bayesian hierarchical models. The proportion of the population that can be infected (i.e. susceptible population) is 85.9% (95% credible interval (CR) 84.3%-87.5%). The constant rate of infection per year of age among the susceptible population is 0.092 (95% CR 0.084-0.100). The estimated force of infection was highest at birth 0.079 (95% CR 0.071-0.087) decreasing to zero as age increases. This Bayesian hierarchical model allows stable estimation of state-specific force of infection by pooling information between the states, resulting in more realistic estimates.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHelicobacter InfectionsHelicobacter pyloriHumansIncidenceInfantInfant, NewbornMaleMexicoMiddle AgedBayesian hierarchical modelscatalytic epidemic modelsforce of infectionHelicobacter pyloriMexico

Identifiers

PMID29656725
PMCPMC5997526
OpenAlexW2801733981

What OpenQuestion holds

Textmetadata
LicenceTDM
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.