Evidence map›Paper›PMID 31032142›Full record

ArticleJournal of cancer therapy2019

Confounders in Adenoma Detection at Initial Screening Colonoscopy: A Factor in the Assessment of Racial Disparities as a Risk for Colon Cancer.

Yakira David, Lorenzo Ottaviano, Jihye Park, Sadat Iqbal, Michelle Likhtshteyn, Samir Kumar, Helen Lyo, Ayanna E Lewis, Brandon E Lung, Jesse T Frye and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of cancer therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Black and White Differences in Colorectal Cancer Screening and Screening Outcomes: A Narrative Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Review
  5. Analysing the nanoparticle-protein corona for potential molecular target identification.Journal of controlled release : official journal of the Controlled Release Society · 2020
    Review
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

18 authors at 1 institution in 1 country.

Yakira DavidDepartment of Medicine, SUNY Downstate Medical Center, Brooklyn, New York, United States of America (USA) 11203.
Lorenzo OttavianoDepartment of Medicine, Stony Brook University, Stony Brook, New York, USA.
Jihye ParkDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Sadat IqbalDepartment of Medicine, SUNY Downstate Medical Center, Brooklyn, New York, United States of America (USA) 11203.
Michelle LikhtshteynDepartment of Medicine, SUNY Downstate Medical Center, Brooklyn, New York, United States of America (USA) 11203.
Samir KumarDepartment of Medicine, SUNY Downstate Medical Center, Brooklyn, New York, United States of America (USA) 11203.
Helen LyoDepartment of Medicine, SUNY Downstate Medical Center, Brooklyn, New York, United States of America (USA) 11203.
Ayanna E LewisDepartment of Medicine, Stony Brook University, Stony Brook, New York, USA.
Brandon E LungDepartment of Medicine, Stony Brook University, Stony Brook, New York, USA.
Jesse T FryeDepartment of Medicine, Stony Brook University, Stony Brook, New York, USA.
Li HuangDepartment of Medicine, Stony Brook University, Stony Brook, New York, USA.
Ellen LiDepartment of Medicine, Stony Brook University, Stony Brook, New York, USA.
Jie YangDepartment of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, New York, USA.
Laura MartelloDepartment of Medicine, SUNY Downstate Medical Center, Brooklyn, New York, United States of America (USA) 11203.
Shivakumar VigneshDepartment of Medicine, SUNY Downstate Medical Center, Brooklyn, New York, United States of America (USA) 11203.
Joshua D MillerDepartment of Medicine, Stony Brook University, Stony Brook, New York, USA.
Michele FollenDepartment of Obstetrics and Gynecology, NYC HNC/Kings County, 451 Clarkson Ave, Brooklyn, New York, USA 11203.
Evan B GrossmanDepartment of Medicine, SUNY Downstate Medical Center, Brooklyn, New York, United States of America (USA) 11203.
Stony Brook University · US

Funding

Training and Education ProgramP20CA192994 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI LI, ELLEN · 2015 to 2018
$1.6M
Training and Education ProgramP20CA192996 · NCI · COLD SPRING HARBOR LABORATORY · PI MCCOMBIE, WILLIAM RICHARD · 2015 to 2018
$620k
NCI NIH HHS P20 CA192994NCI NIH HHS P20 CA192996
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe incidence and mortality of colorectal cancer is persistently highest in Black/African-Americans in the United States. While access to care, barriers to screening, and poverty might explain these findings, there is increased interest in examining biological factors that impact the colonic environment. Our group is examining biologic factors that contribute to disparities in development of adenomas prospectively. In preparation for this and to characterize a potential patient population, we conducted a retrospective review of initial screening colonoscopies in a cohort of patients.

methodsA retrospective review was performed on initial average risk screening colonoscopies on patients (age 45-75 years) during 2012 at three institutions. Descriptive statistics and multivariable logistic regression models were used to examine the relationship between potential risk factors and the detection of adenomas.

resultsOf the 2225 initial screening colonoscopies 1495 (67.2%) were performed on Black/African-Americans and 566 (25.4%) on Caucasians. Multivariable logistic regression revealed that older age, male sex, current smoking and teaching gastroenterologists were associated with higher detection of adenomas and these were less prevalent among Black/African-Americas except for age. Neither race, ethnicity, BMI, diabetes mellitus, HIV nor insurance were associated with adenoma detection.

conclusionIn this sample, there was no association between race and adenoma detection. While this may be due to a lower prevalence of risk factors for adenomas in this sample, our findings were confounded by a lower detection rate by consultant gastroenterologists at one institution. The study allowed us to rectify the problem and characterize patients for future trials.

Indexed as

AdenomaCancerColorectalQualityScreening

Identifiers

PMID31032142
PMCPMC6482964
OpenAlexW2940189664

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.