Evidence map›Paper›PMID 35736961›Full record

ArticleTropical medicine and infectious disease2022

Identifying Hotspots of People Diagnosed of Tuberculosis with Addiction to Alcohol, Tobacco, and Other Drugs through a Geospatial Intelligence Application in Communities from Southern Brazil.

Alessandro Rolim Scholze, Felipe Mendes Delpino, Luana Seles Alves, Josilene Dália Alves, Thaís Zamboni Berra, Antônio Carlos Vieira Ramos, Miguel Fuentealba-Torres, Inês Fronteira, Ricardo Alexandre Arcêncio

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. 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
0.8field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  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

9 authors at 4 institutions in 3 countries.

Alessandro Rolim ScholzeDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto 05403-000, Sao Paulo, Brazil.ORCID 0000-0003-4045-3584
Felipe Mendes DelpinoDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto 05403-000, Sao Paulo, Brazil.
Luana Seles AlvesDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto 05403-000, Sao Paulo, Brazil.
Josilene Dália AlvesInstitute of Biological Sciences and Health, Federal University of Mato Grosso, Barra do Garças 78600-000, Mato Grosso, Brazil.
Thaís Zamboni BerraDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto 05403-000, Sao Paulo, Brazil.
Antônio Carlos Vieira RamosDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto 05403-000, Sao Paulo, Brazil.
Miguel Fuentealba-TorresNursing Department, Faculdade de Enfermagem e Obstetrícia, Universidad de los Andes, Santiago 12455, Chile.
Inês FronteiraGlobal Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, 1349-008 Lisbon, Portugal.ORCID 0000-0003-1406-4585
Ricardo Alexandre ArcêncioDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto 05403-000, Sao Paulo, Brazil.
Universidade de Ribeirão Preto · BRUniversidad de Los Andes, Chile · CLUniversidade Federal de Mato Grosso · BRUniversidade Nova de Lisboa · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: tuberculosis (TB) is considered one of the leading causes of death worldwide by a single infectious agent. This study aimed to identify hotspots of people diagnosed with tuberculosis and abusive use of alcohol, tobacco, and other drugs in communities through a geospatial intelligence application; (2) Methods: an ecological study with a spatio-temporal approach. We considered tuberculosis cases diagnosed and registered in the Notifiable Diseases Information System, which presented information on alcoholism, smoking, and drug abuse. Spatial Variations in Temporal Trends (SVTT) and scan statistics were applied for the identification of Hotspots; (3) Results: between the study period, about 29,499 cases of tuberculosis were reported. When we applied the SVTT for alcoholism, three Hotspots were detected, one of which was protective (RR: 0.08-CI95%: 0.02-0.32) and two at risk (RR: 1.42-CI95%: 1.11-1.73; RR: 1.39-CI95%: 1.28-1.50). Regarding smoking, two risk clusters were identified (RR: 1.15-CI95%: 1.01-1.30; RR: 1.68-CI95%: 1.54-1.83). For other drugs, a risk cluster was found (RR: 1.13-CI95%: 0.99-1.29) and two protections (RR: 0.70-CI95%: 0.63-0.77; RR: 0.76-CI95%: 0.65-0.89); (4) Conclusion: it was evidenced that in the communities being studied, there exists a problem of TB with drug addiction. The disordered use of these substances may harm a person's brain and behavior and lead to an inability to continue their treatment, putting the community at further risk for TB.

Indexed as

alcoholismillicit drugsspatial analysistobacco use disordertuberculosis

Identifiers

PMID35736961
PMCPMC9231266
OpenAlexW4281488629

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.