ArticleJournal of general internal medicine2022
Progress in Reducing Disparities in Premature Mortality in the USA: a Descriptive Study.
Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Examining Racial Discrimination Index and Black-Years of Potential Life Lost (YPLL) in South Carolina: A Real-Time Social Media Research.Journal of racial and ethnic health disparities · 2026Article
- Political determinants of US states' screening-amenable cancer stage at diagnosis and premature cancer mortality.JNCI cancer spectrum · 2025Observational
- An essential goal within reach: attaining diversity, equity, and inclusion for the Journal of the National Cancer Institute journals.JNCI cancer spectrum · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEliminating health disparities among different segments of the US population is an overarching goal of the US Healthy People 2020 objectives.
objectiveExamine changes in educational, rural-urban, and racial disparities in premature mortality during the past 10 years. DESIGN AND
participantsDescriptive analysis of US mortality data from 2007 to 2017. MAIN MEASURES: Relative and absolute rural-urban, educational attainment, and Black-White disparities in premature mortality for all-cause and top 10 causes of death among persons ages 25-74 years, estimated as rate ratios and rate differences between ≤12 and ≥16 years of education, rural versus urban, and non-Hispanic Black (Black) versus non-Hispanic White (White), respectively, in 2007 and 2017. KEY
resultsDuring 2007-2017, mortality rates in persons aged 25-74 years in the USA increased for several leading causes of death, especially in persons with <16 years of education, rural residents, and White people. As a result, disparity in mortality between 2007 and 2017 widened on both relative and absolute scales for all-cause and for 6 of the top 10 causes of death by education and for all-cause and for 9 of the top 10 causes by rural/urban residence. In contrast, Black-White disparities narrowed for all-cause and for all 7 causes that Black people had a higher rate than White people. For all-cause mortality for example, absolute disparities in the number of deaths per 100,000 person-years between 2007 and 2017 increased from 454.0 (95%CI, 446.0-462.1) to 542.7 (535.6-549.7) for educational attainment and from 85.8 (82.8-88.8) to 140.5 (137.6-143.4) for rural versus urban; in contrast, absolute Black-White disparity decreased from 315.3 (311.0-319.7) to 221.7 (218.1-225.3).
conclusionsEducational and rural-urban disparities in premature mortality widened, whereas Black-White disparities narrowed in the USA between 2007 and 2017, though overall rates remained considerably higher in Black people.
Indexed as
Identifiers
What OpenQuestion holds
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.