Evidence map›Paper›PMID 36101574›Full record

ArticlePublic health in practice (Oxford, England)2021

Comorbidity as a predictor of racial and ethnic disparities in cancer in the United States population.

Maxwell Akonde, Rajat Das Gupta, Ottovon Bismark Dakurah, Reston Hartsell

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Maxwell AkondeDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Rajat Das GuptaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Ottovon Bismark DakurahAfrican Cancer Institute, Stellenbosch University, South Africa.
Reston HartsellDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: This study aims to examine the racial and ethnic disparity in cancer prevalence and determine if comorbidities can explain this disparity. Study design: This was a cross-sectional study. Methods: The study examined cancer prevalence among adults who self-identified as White, Black, and Other races in the US population according to data from the 2017 National Health Interview Survey. Results: Cancer was 58.5% [OR = 0.415; 95% CI: 0.346-0.498] and 57.5% [OR = 0.425; 95%CI: 0.346-0.522] more likely to be found in the White compared to the Black adults and White compared to Other race adults, respectively. After adjusting for the comorbidities, the odds of cancer in White adults increased marginally compared to Black adults [OR = 0.407; 95%CI: 0.338-0.490] and decreased marginally compared to Other race adults [OR = 0.462; 95%CI: 0.374-0.569] even though the odds remained significant. Ever smoking, age of 50 years or more, Former and current alcohol consumption, overweight and obesity, being female and physical inactivity were found to be significantly associated with higher odds of cancer. Conclusions: This study did identify a racial and ethnic disparity in cancer prevalence between White and Black adults and White and Other adult races. However, this racial and ethnic disparity could not be explained by comorbidities.

Indexed as

AdultCancerComorbidityDisparityRacial/ethnic

Identifiers

PMID36101574
PMCPMC9461574

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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.