Evidence map›Paper›PMID 39574362›Full record

ArticleFamily medicine and community health2024

Risk prediction of advanced colorectal neoplasia varies by race and neighbourhood socioeconomic status.

Xiangqing Sun, Zhengyi Chen, Gregory S Cooper, Nathan A Berger, Claudia Coulton, Li Li

Abstract read
In one paragraph

Article in Family medicine and community health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xiangqing SunDepartment of Family Medicine, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0003-3614-4682
Zhengyi ChenDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Gregory S CooperUniversity Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Nathan A BergerUniversity Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Claudia CoultonJack, Joseph and Morton Mandel School of Applied Social Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Li LiDepartment of Family Medicine, University of Virginia, Charlottesville, Virginia, USA ll8nv@virginia.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNeighbourhood deprivation increases the risk of colorectal neoplasia and contributes to racial disparities observed in this disease. Developing race-specific advanced colorectal neoplasia (ACN) prediction models that include neighbourhood socioeconomic status has the potential to improve the accuracy of prediction.

methodsThe study includes 1457 European Americans (EAs) and 936 African Americans (AAs) aged 50-80 years undergoing screening colonoscopy. Race-specific ACN risk prediction models were developed for EAs and AAs, respectively. Area Deprivation Index (ADI), derived from 17 variables of neighbourhood socioeconomic status, was evaluated by adding it to the ACN risk prediction models. Prediction accuracy was evaluated by concordance statistic (C-statistic) for discrimination and Hosmer-Lemeshow goodness-of-fit test for calibration.

resultsWith fewer predictors, the EA-specific and AA-specific prediction models had better prediction accuracy in the corresponding race/ethnic subpopulation than the overall model. Compared with the overall model which had poor calibration (

conclusionsNeighbourhood socioeconomic status is an important factor to consider in ACN risk prediction modeling. Moreover, non-race-specific prediction models have poor generalisability. Race-specific prediction models incorporating neighbourhood socioeconomic factors are needed to improve ACN prediction accuracy.

Indexed as

Black or African AmericanColorectal NeoplasmsSocial ClassWhiteAgedAged, 80 and overColonoscopyFemaleHumansMaleMiddle AgedNeighborhood CharacteristicsResidence CharacteristicsRisk AssessmentRisk FactorsEnvironment and Public HealthEpidemiologyPublic Health

Identifiers

PMID39574362
PMCPMC11141178

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.