Evidence map›Paper›PMID 38383761›Full record

ArticleCommunications medicine2024

Geospatial investigations in Colombia reveal variations in the distribution of mood and psychotic disorders.

Janet Song, Mauricio Castaño Ramírez, Justin T Okano, Susan K Service, Juan de la Hoz, Ana M Díaz-Zuluaga, Cristian Vargas Upegui, Cristian Gallago, Alejandro Arias, Alexandra Valderrama Sánchez and 10 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2024. 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
2.7field-weighted citation impact, top 10% 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, 8 citations in OpenAlex.

  1. Characterisation of serious mental illness trajectories through transdiagnostic clinical features.The British journal of psychiatry : the journal of mental science · 2026
    Article
  2. Article
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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

20 authors at 7 institutions in 2 countries.

Janet SongCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Mauricio Castaño RamírezDepartment of Mental Health and Human Behavior, University of Caldas, Manizales, Colombia.
Justin T OkanoCenter for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-2476-9370
Susan K ServiceCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Juan de la HozCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-5584-7511
Ana M Díaz-ZuluagaCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Cristian Vargas UpeguiDepartment of Psychiatry, University of Antioquía, Medellín, Colombia.
Cristian GallagoDepartment of Mental Health and Human Behavior, University of Caldas, Manizales, Colombia.
Alejandro AriasDepartment of Psychiatry, University of Antioquía, Medellín, Colombia.
Alexandra Valderrama SánchezDepartment of Mental Health and Human Behavior, University of Caldas, Manizales, Colombia.
Terri TeshibaCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Chiara SabattiDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA.
Ruben C GurDepartment of Psychiatry, University of Pennsylvania School of Medicine and the Penn-CHOP Lifespan Brain Institute, Philadelphia, PA, USA.
Carrie E BeardenCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-8516-923X
Javier I EscobarDepartment of Psychiatry, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
Victor I ReusDepartment of Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Carlos Lopez JaramilloDepartment of Psychiatry, University of Antioquía, Medellín, Colombia.
Nelson B FreimerCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Loes M Olde LoohuisCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. loldeloohuis@mednet.ucla.edu.ORCID http://orcid.org/0000-0002-3327-7837
Sally BlowerCenter for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
University of California, Los Angeles · USUniversidad de Antioquia · COUniversity of Caldas · COFlorida International University · USLifespan · USStanford University · USUniversity of California, San Francisco · US

Funding

A Latin American biobank for large-scale genetics research on severe mental illnessR01MH123157 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B., LOPEZ JARAMILLO, CARLOS · 2020 to 2025
$10.6M
Genetics of Severe Mental IllnessR01MH113078 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, FREIMER, NELSON B. · 2017 to 2021
$5.8M
Neurodevelopment and Psychosis in the 22q11.2 Copy Number VariantsR37MH085953 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CARRIE E BEARDEN · 2023 to 2026
$2.9M
Accelerating the Diagnosis of Bipolar Disorder Using Genetic and Phenotypic SignaturesR00MH116115 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OLDE LOOHUIS, LOES MARLEIN · 2020 to 2022
$747k
Helping Botswana Achieve UNAIDS Treatment Targets to End Its HIV EpidemicR56AI152759 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BLOWER, SALLY MARGARET · 2020 to 2020
$644k
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) R56AI152759NIAID NIH HHS R56 AI152759NIMH NIH HHS R00 MH116115NIMH NIH HHS R01 MH113078NIMH NIH HHS R01 MH123157NIMH NIH HHS R37 MH085953U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R00MH116115U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH113078U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH123157
6 · The paper itself

Abstract

backgroundGeographical variations in mood and psychotic disorders have been found in upper-income countries. We looked for geographic variation in these disorders in Colombia, a middle-income country. We analyzed electronic health records from the Clínica San Juan de Dios Manizales (CSJDM), which provides comprehensive mental healthcare for the one million inhabitants of Caldas.

methodsWe constructed a friction surface map of Caldas and used it to calculate the travel-time to the CSJDM for 16,295 patients who had received an initial diagnosis of mood or psychotic disorder. Using a zero-inflated negative binomial regression model, we determined the relationship between travel-time and incidence, stratified by disease severity. We employed spatial scan statistics to look for patient clusters.

resultsWe show that travel-times (for driving) to the CSJDM are less than 1 h for ~50% of the population and more than 4 h for ~10%. We find a distance-decay relationship for outpatients, but not for inpatients: for every hour increase in travel-time, the number of expected outpatient cases decreases by 20% (RR = 0.80, 95% confidence interval [0.71, 0.89], p = 5.67E-05). We find nine clusters/hotspots of inpatients.

conclusionsOur results reveal inequities in access to healthcare: many individuals requiring only outpatient treatment may live too far from the CSJDM to access healthcare. Targeting of resources to comprehensively identify severely ill individuals living in the observed hotspots could further address treatment inequities and enable investigations to determine factors generating these hotspots.

Identifiers

PMID38383761
PMCPMC10881503
OpenAlexW4391996473

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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.