ArticleHealth equity2023
The Self-Fulfilling Process of Clinical Race Correction: The Case of Eighth Joint National Committee Recommendations.
Article in Health equity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 7 citations in OpenAlex.
- Ancestry-based antihypertensive therapy: Beware of pitfalls.Acta obstetricia et gynecologica Scandinavica · 2026Article
- Are Angiotensin-Converting Enzyme Inhibitors Effective in the Treatment of Hypertension in Black Patients?CJC open · 2026Review
- Optimizing Care for Cardiovascular-Kidney-Metabolic Syndrome: Leveraging Implementation Science in the Path Toward Pharmacoequity.Current cardiology reports · 2025Review
- Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists.Clinical epidemiology · 2025Review
- Race science without racists: how bigoted paradigms persist in allergy research.Frontiers in public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is growing attention to how unfounded beliefs about biological differences between racial groups affect biomedical research and health care, in part, through race adjustment in clinical tools. We develop a case study of the Eighth Joint National Committee (JNC 8)'s 2014 Evidence-Based Guideline for the Management of High Blood Pressure in Adults, which recommends a distinct initial hypertension treatment for Black versus nonblack patients. We analyze the historical context, study design, and racialized findings of the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT) that informed development of the guideline. We argue that ALLHAT's racialized outcomes emanated from a poor and artificial study design and analysis weakened by implicit assumptions about race as biological. We show that the acceptance and utilization of ALLHAT for race correction arises from its historical context within the "inclusion-and-difference paradigm" and its indication of the inefficacy of angiotensin-converting-enzyme inhibitors for Black patients, which follows from the enduring, yet, refuted slavery hypertension hypothesis. We demonstrate that the JNC 8 guideline displays the self-fulfilling process of racial reasoning: presuppositions about racial differences inform the design and interpretation of research, which then conceptually reinforce ideas about racial differences leading to differential medical treatment. We advocate for the abolition of race adjustment and the integration of structural competency, biocritical inquiry, and race-conscious medicine into biomedical research and clinical medicine to disrupt the use of race as a proxy for ancestry, environment, and social treatment and to address the genuine determinants of racialized disparities in hypertension.
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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.