ArticleDysphagia2018
Race Differences in Gastrostomy Tube Placement After Stroke in Majority-White, Minority-Serving, and Racially Integrated US Hospitals.
Article in Dysphagia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Racial and Ethnic Disparities in Dysphagia Care Access, Utilization, and Quality in the United States: A Scoping Review.Dysphagia · 2026Article
- Alternative Approaches to Characterizing Disparate Care by Race, Ethnicity, and Insurance Between Hospitals.International journal of environmental research and public health · 2025Article
- Practice Patterns and Attitudes Among Speech-Language Pathologists Treating Stroke Patients with Dysphagia: A Nationwide Survey.Dysphagia · 2022Article
- Trends Regarding Racial Disparities Among Malnourished Patients With Percutaneous Endoscopic Gastrostomy (PEG) Tubes.Cureus · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
We sought to determine individual and system contributions to race disparities in percutaneous endoscopic gastrostomy (PEG) tube placement after stroke. Ischemic stroke admissions were identified from the Nationwide Inpatient Sample between 2007 and 2011. Hospitals were categorized based on the percentage of ethnic/racial minority stroke patients (< 25% ethnic/racial minorities ["majority-white hospitals"], 25-50% ethnic/racial minorities ["racially integrated hospitals"], or > 50% ethnic/racial minorities ["minority-serving hospitals"]). Logistic regression was used to evaluate the association between ethnicity/race and PEG utilization within and between the different hospital strata. Among 246,825 stroke admissions, patients receiving care in minority-serving hospitals had higher odds of PEG compared to patients in majority-white hospitals, regardless of individual patient race (adjusted odds ratio [OR] 1.24, 95% CI 1.12-1.38). Ethnic/racial minorities had higher odds of PEG than whites in any hospital strata; however, this discrepancy was largest in majority-white hospitals (OR 1.62, 95% CI 1.48-1.76), and smallest in minority-serving hospitals (OR 1.22, 95% CI 1.11-1.33; p for interaction < 0.001). Ethnic/racial minority patients had similar odds of PEG in any hospital strata, while white patients had increasing odds of PEG in racially integrated and minority-serving compared to majority-white hospitals (OR 1.28, 95% CI 1.15-1.43 in racially integrated, and OR 1.39, 95% CI 1.23-1.57 in minority-serving, compared to majority-white hospitals, p for trend < 0.001). The likelihood of PEG after ischemic stroke was increased in minority-serving compared to majority-white hospitals. White patients had higher odds of PEG in minority-serving compared to majority-white hospitals, indicating a systemic difference in PEG placement across hospitals.
Indexed as
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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.