Evidence map›Paper›PMID 39372673›Full record

ArticlePreventive oncology & epidemiology2024

Identifying priority populations for lung cancer screening intervention using neighborhood-level factors and cancer registry data.

Meghan Tipre, Celeste Picone, Kathryn Demanelis, Jeanine Buchanich, Christina Ndoh, Jian-Min Yuan, Monica L Baskin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive oncology & epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Meghan TipreDivision of Hematology Oncology, School of Medicine, University of Pittsburgh, Pittsburgh, PA.
Celeste PiconeUPMC Hillman Cancer Center, Pittsburgh, PA.
Kathryn DemanelisDivision of Hematology Oncology, School of Medicine, University of Pittsburgh, Pittsburgh, PA.
Jeanine BuchanichDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA.
Christina NdohDepartment of Environmental and Occupational Health, School of Public Health, University of Pittsburgh.
Jian-Min YuanUPMC Hillman Cancer Center, Pittsburgh, PA.
Monica L BaskinDivision of Hematology Oncology, School of Medicine, University of Pittsburgh, Pittsburgh, PA.

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
NCATS NIH HHS UL1 TR001857NCI NIH HHS P30 CA047904
6 · The paper itself

Abstract

To evaluate the association of neighborhood level economic, environmental, and social indicators with lung cancer (LC) incidence and mortality. Data for adult incident LC cases in Allegheny County, Pennsylvania, diagnosed between 2015-2019 were obtained from Pennsylvania cancer registry. Cases were summarized at census-tract level. Publicly available data on neighborhood deprivation index (NDI), built environment, and racial isolation at census-tracts were linked to cases. Poisson regression was used to compute relative risk (RR) for LC incidence and mortality, adjusting for covariates. A total of 3256 LC cases were included in the analyses. About 68% were ≥65 years, 54% female, 14% Black or African American, and 63% deceased. Results of the multivariable model found that increasing quintiles (Q) of NDI were significantly associated with increasing risk of LC incidence and mortality. The RRs (95% confidence interval) of LC incidence for Q2, Q3, Q4 and Q5 were 1.36 (1.21-1.52), 1.55 (1.40-1.72), 1.68 (1.51-1.87), 2.08 (1.82-2.38), respectively, compared with Q1 (

Indexed as

Cancer registryEnvironmental healthLung cancerNeighborhood Deprivation IndexNeighborhood-levelSocial determinants of health

Identifiers

PMID39372673
PMCPMC11451813

What OpenQuestion holds

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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.