ArticleAIDS care2017
Emerging from the database shadows: characterizing undocumented immigrants in a large cohort of HIV-infected persons.
Article in AIDS care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed.
- Contextualized race and ethnicity annotations for clinical text from MIMIC-III.Scientific data · 2024Article
- Factors Influencing Engagement Across the Motivational PrEP Cascade Among Latino SMM: A Mixed-Methods Analysis from the Perspectives of Community Providers and Latino SMM.AIDS and behavior · 2024Article
- Delayed Diagnosis of Human Immunodeficiency Virus in the Latino Population at a Federally Qualified Community Health Center in New Jersey.Journal of immigrant and minority health · 2024Article
- Algorithm to identify transgender and gender nonbinary individuals among people living with HIV performs differently by age and ethnicity.Annals of epidemiology · 2021Article
- The Health of Undocumented Latinx Immigrants: What We Know and Future Directions.Annual review of public health · 2020Review
- Article
- HIV outcomes among migrants from low-income and middle-income countries living in high-income countries: a review of recent evidence.Current opinion in infectious diseases · 2018Review
- Outcomes Along the HIV Care Continuum Among Undocumented Immigrants in Clinical Care.AIDS research and human retroviruses · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Little is known about how HIV affects undocumented immigrants despite social and structural factors that may place them at risk of poor HIV outcomes. Our understanding of the clinical epidemiology of HIV-infected undocumented immigrants is limited by the challenges of determining undocumented immigration status in large data sets. We developed an algorithm to predict undocumented status using social security number (SSN) and insurance data. We retrospectively applied this algorithm to a cohort of HIV-infected adults receiving care at a large urban healthcare system who attended at least one HIV-related outpatient visit from 1997 to 2013, classifying patients as "screened undocumented" or "documented". We then reviewed the medical records of screened undocumented patients, classifying those whose records contained evidence of undocumented status as "undocumented per medical chart" (charted undocumented). Bivariate measures of association were used to identify demographic and clinical characteristics associated with undocumented immigrant status. Of 7593 patients, 205 (2.7%) were classified as undocumented by the algorithm. Compared to documented patients, undocumented patients were younger at entry to care (mean 38.5 years vs. 40.6 years, p < 0.05), less likely to be female (33.2% vs. 43.1%, p < 0.01), less likely to report injection drug use as their primary HIV risk factor (3.4% vs. 18.0%, p < 0.001), and had lower median CD4 count at entry to care (288 vs. 339 cells/mm
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Registered trials
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.