Evidence map›Paper›PMID 33661726›Full record

ArticlePreventing chronic disease2021

Spatial Insights for Understanding Colorectal Cancer Screening in Disproportionately Affected Populations, Central Texas, 2019.

F Benjamin Zhan, Niaz Morshed, Nicole Kluz, Bretta Candelaria, Eda Baykal-Caglar, Anjum Khurshid, Michael P Pignone

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Area-Level Determinants in Colorectal Cancer Spatial Clustering Studies: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. A Practical Strategy of Informatics, Geospatial Mapping, Geodemographic Segmentation, and Regression Analyses to Address Nonadherence to Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

7 authors at 3 institutions in 2 countries.

F Benjamin ZhanLiveStrong Cancer Institutes, Dell Medical School, University of Texas, Austin, Texas.
Niaz MorshedTexas Center for Geographic Information Science, Department of Geography, Texas State University, San Marcos, Texas.
Nicole KluzDepartments of Internal Medicine and Population Health, University of Texas Dell Medical School, Austin, Texas.
Bretta CandelariaDepartments of Internal Medicine and Population Health, University of Texas Dell Medical School, Austin, Texas.
Eda Baykal-CaglarCommUnityCare, Federally Qualified Health Centers, Austin, Texas.
Anjum KhurshidDepartments of Internal Medicine and Population Health, University of Texas Dell Medical School, Austin, Texas.
Michael P PignoneLiveStrong Cancer Institutes, Dell Medical School, University of Texas, Austin, Texas.
Esri (Canada) · CALivestrong Foundation · USTexas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionColorectal cancer (CRC) screening can reduce morbidity and mortality; however, important disparities exist in CRC uptake. Our study examines the associations of distance to care and frequency of using primary care and screening.

methodsTo examine the distribution of screening geographically and according to several demographic features, we used individual patient-level data, dated September 30, 2018, from a large urban safety-net health system in Central Texas. We used spatial cluster analysis and logistic regression adjusted for age, race, sex, socioeconomic status, and health insurance status.

resultsWe obtained screening status data for 13,079 age-eligible patients from the health system's electronic medical records. Of those eligible, 55.1% were female, and 55.9% identified as Hispanic. Mean age was 58.1 years. Patients residing more than 20 miles from one of the system's primary care clinics was associated with lower screening rates (odds ratio [OR], 0.63; 95% CI, 0.43-0.93). Patients with higher screening rates included those who had a greater number of primary care-related (nonspecialty) visits within 1 year (OR, 6.90; 95% CI, 6.04-7.88) and those who were part of the county-level medical assistance program (OR, 1.61; 95% CI, 1.40-1.84). Spatial analysis identified an area where the level of CRC screening was particularly low.

conclusionDistance to primary care and use of primary care were associated with screening. Priorities in targeted interventions should include identifying and inviting patients with limited care engagements.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerFemaleHispanic or LatinoHumansMass ScreeningMiddle AgedTexas

Identifiers

PMID33661726
PMCPMC7938962
OpenAlexW3134172389

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.