Evidence map›Paper›PMID 35788197›Full record

ArticleBMC infectious diseases2022

Geospatial analysis as a tool to identify target areas for Chagas disease education for healthcare providers.

Gerardo J Pacheco, Lawrence Fulton, Jose Betancourt, Ram Shanmugam, Paula Stigler Granados

Abstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Gerardo J PachecoSchool of Health Administration, Texas State University, San Marcos, TX, 78666, USA. gjp46@txstate.edu.
Lawrence FultonSchool of Health Administration, Texas State University, San Marcos, TX, 78666, USA.
Jose BetancourtSchool of Health Administration, Texas State University, San Marcos, TX, 78666, USA.
Ram ShanmugamSchool of Health Administration, Texas State University, San Marcos, TX, 78666, USA.
Paula Stigler GranadosSchool of Public Health, San Diego State University, San Diego, CA, 92182, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chagas Disease (CD) is a neglected zoonotic disease of the Americas. It can be fatal if not diagnosed and treated in its early stages. Using geospatial and sensitivity analysis, this study focuses on understanding how to better allocate resources and educational information to areas in the United States, specifically Texas, that have the potential for increased risk of CD cases and the associated costs of addressing the disease. ICD-9 and 10 inpatient hospital diagnostic codes were used to illustrate the salience of potentially missed CD diagnoses (e.g., cardiomyopathic diagnoses) and where these are occurring with more frequency. Coding software along with GIS and Microsoft Excel 3D mapping were used to generate maps to illustrate where there may be a need for increased statewide surveillance and screening of populations at greater risk for CD. The CD cases reported to the Texas Department of State Healthcare Services (TxDSHS) are not homogenously dispersed throughout the state but rather, reveal that the incidences are in clusters and primarily in urban areas, where there is increased access to physician care, CD research and diagnostic capabilities.

Indexed as

Chagas DiseasePhysiciansEducational StatusHumansIncidenceTexasUnited StatesAmerican TrypanosomiasisChagas diseaseGeospatial analysisHeart diseaseNeglected tropical diseasesTrypanosoma cruzi

Identifiers

PMID35788197
PMCPMC9252050

What OpenQuestion holds

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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.