Article in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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
11 authors.
Greta GerdesCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0009-0009-8348-8550
Janet SongCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
Susan K ServiceCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
Ana M Ramirez-DiazCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0009-0009-3853-436X
Ana M Diaz-ZuluagaCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
Alejandro AriasDepartment of Psychiatry, University of Antioquía, Medellín, Colombia.
Mauricio Castaño-RamirezDepartment of Mental Health and Human Behavior, Universidad de Caldas, Manizales, CAL, Colombia.ORCID 0000-0002-1071-6307
Nicolas A CrossleyDepartment of Psychiatry, University of Antioquía, Medellín, Colombia.
Carlos Lopez-JaramilloDepartment of Psychiatry, University of Antioquía, Medellín, Colombia.
Nelson B FreimerCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
Loes M Olde LoohuisCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-3327-7837
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
The Impact of the COVID-19 Pandemic on Severe Mental IllnessRF1MH133426 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B., LOPEZ JARAMILLO, CARLOS · 2023 to 2023
$3.1M
Training Grant in Neurobehavioral GeneticsT32MH073526 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, GESCHWIND, DANIEL H · 2006 to 2020
$2.4M
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
backgroundDespite growing healthcare coverage, disparities in access to and outcomes of psychiatric care persist, even in countries with universal healthcare. How socioeconomic status (SES), travel time, and social support individually and jointly affect psychiatric clinical trajectories remains largely unexplored.
methodsWe analyze electronic health records (EHRs) from patients diagnosed with bipolar disorder, major depressive disorder, or schizophrenia at Clínica San Juan de Dios Manizales. Using zero-inflated and standard negative binomial regression, we quantify the effects of SES, travel time, and family/social support on utilization, clinical outcomes, and symptoms of mania, psychosis, and suicidality. A mixed-effects model examines how care-seeking patterns affect visit-to-visit variability in outcomes.
resultsAmong 21,095 patients, utilization is lower for those with low SES (rate ratio [RR] 0.92, 95% CI: 0.90-0.95,
conclusionsFindings demonstrate use of EHRs to model patient outcomes, the important role of social support, and need for improved healthcare accessibility.
Indexed as
Bipolar DisorderHealthcare DisparitiesHealth Services AccessibilityMajor Depressive DisorderMental Health ServicesPatient Acceptance of Health CareSchizophreniaSocial ClassUniversal Health CareAdultColombiaElectronic Health RecordsFemaleHumansMaleMiddle Agedaccess to healthcareelectronic health recordsmood and psychotic disorderssocial supportsocioeconomic statustravel time
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.
Socioeconomic and geographic disparities in psychiatric outcomes under Colombia's universal healthcare system. · full record | OpenQuestion