Evidence map›Paper›PMID 37920304›Full record

ArticleSSM - population health2023

Inequities in colorectal and breast cancer screening: At the intersection of race/ethnicity, sexuality, and gender.

Emmeline Lin, Patrycja Sleboda, Bobbie J Rimel, Geetanjali D Datta

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 1 institution in 1 country.

Emmeline LinCancer Research Center for Health Equity, Cedars-Sinai Medical Center, Los Angeles, CA, 90069, USA.
Patrycja SlebodaCancer Research Center for Health Equity, Cedars-Sinai Medical Center, Los Angeles, CA, 90069, USA.
Bobbie J RimelCancer Research Center for Health Equity, Cedars-Sinai Medical Center, Los Angeles, CA, 90069, USA.
Geetanjali D DattaCancer Research Center for Health Equity, Cedars-Sinai Medical Center, Los Angeles, CA, 90069, USA.
Cedars-Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the joint impact of sexual orientation, gender identity, and race/ethnicity on colorectal and breast cancer screening disparities in the United States. Methods: Utilizing sampling weighted data from the 2016 and 2018 Behavioral Risk Factor Surveillance System, we assessed differences in two metrics via chi-square statistics: 1) lifetime uptake, and 2) up-to-date colorectal and breast cancer screening by sexual orientation and gender identity, within and across racial/ethnic classifications. Results: Within specific races/ethnicities, lifetime CRC screening was higher among gay/lesbian (within NH-White, Hispanic, and Asian/Pacific Islander) and bisexual individuals (Hispanic) compared to straight individuals, and lowest overall among transgender women and transgender nonconforming populations ( Conclusions: Due to small, unweighted sample sizes, results should be interpreted with caution. Heterogeneity in screening participation by SGM status within and across racial/ethnic groups were observed, revealing the need to disaggregate data to account for intersecting identities and for studies with larger sample sizes to increase estimate reliability.

Indexed as

Breast cancer screeningColorectal cancer screeningGender minority healthIntersectionalityScreening disparitiesSexual minority health

Identifiers

PMID37920304
PMCPMC10618777
OpenAlexW4387711029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.