ArticleJournal of the National Medical Association2007
There is no scientific rationale for race-based research.
Article in Journal of the National Medical Association, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 35 citations in OpenAlex.
- Aiming to Improve Equity in Pulmonary Health: Cystic Fibrosis.Clinics in chest medicine · 2023Review
- Socioeconomic determinants of respiratory health in patients with cystic fibrosis: implications for treatment strategies.Expert review of respiratory medicine · 2022Review
- Left behind: The potential impact of CFTR modulators on racial and ethnic disparities in cystic fibrosis.Paediatric respiratory reviews · 2022Review
- The Influence of Household Income on Survival following Posterior Fossa Tumor Resection at a Large Academic Medical Center.Journal of neurological surgery. Part B, Skull base · 2021Article
- The Association Between Neighborhood Social Vulnerability and COVID-19 Testing, Positivity, and Incidence in Alabama and Louisiana.Journal of community health · 2021Article
- Disparities in Kidney Stone Disease: A Scoping Review.The Journal of urology · 2021Article
- Disparities in the provision of medical care: an outcome in search of an explanation.Journal of behavioral medicine · 2009Review
Corrections and comments
- Commented on by
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For centuries, the colonial governments used a combination of race and ethnic characteristics to subjugate and control people of color, and scientists of the day provided evidence of the "natural order of things" to support national policies of domination, segregation and control. There have been many examples of events in the past 70 years to suggest that achievements by ethnic peoples are not genetically determined and that race and ethnicity are merely terms to describe external features, language, culture, social mores and folklore. BiDil was the first drug in this country approved by the FDA for use in a single "race" after a clinical trial that enrolled only members of that race. Thus arose the question of the efficacy of doing race-based research in humans. In order for this kind of research to have any scientific basis, each individually defined or self-declared race would have to have a 100% pure gene pool, and the data show that the gene pool among whites, blacks and Hispanics in America is very heterogeneous. This makes for far greater similarities among U.S. citizens than any perceived differences, and genomic science has failed to support the concept of racial categories in medicine. Scientists involved with the first mapping of the human genome have noted that there is no basis in the genetic code for race. That being the case, there appears to be no justification for race-based research among human beings.
Indexed as
Identifiers
17595942PMC2574368W128155865What 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.