Evidence map›Paper›PMID 33352953›Full record

ArticleInternational journal of environmental research and public health2020

Geographic Differences in Lung Cancer Incidence: A Study of a Major Metropolitan Area within Southeastern Pennsylvania.

Yaqian Zhu, Thomas P McKeon, Vicky Tam, Anil Vachani, Trevor M Penning, Wei-Ting Hwang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Arketamine: a scoping review of its use in humans.European archives of psychiatry and clinical neuroscience · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Air pollution and lung cancer survival in Pennsylvania.Lung cancer (Amsterdam, Netherlands) · 2022
    Article
  8. Article
  9. Screening Criteria Evaluation for Expansion in Pulmonary Neoplasias (SCREEN) II.Canadian journal of surgery. Journal canadien de chirurgie
    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

6 authors.

Yaqian ZhuDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-5187-2667
Thomas P McKeonCenter of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Vicky TamCartographic Modeling Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Anil VachaniCenter of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-3871-8697
Trevor M PenningCenter of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-3937-1066
Wei-Ting HwangDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-2829-2167

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
Metabolic activation of nitroarenes and Nrf2-Keap1R01ES029294 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2019 to 2026
$3.6M
NCI NIH HHS P30 CA016520NIEHS NIH HHS P30 ES013508NIEHS NIH HHS R01 ES029294NIEHS NIH HHS R01-ES029294NIH HHS P30-CA16520
6 · The paper itself

Abstract

This study investigated the geographic variation and the clustering of lung cancer incidence rates in Philadelphia and the surrounding areas using addresses at the time of diagnosis. Using 60,844 cases from Pennsylvania Cancer Registry, we calculated and mapped the age-adjusted incidence rates for five Pennsylvania (PA) counties near Philadelphia between 1998-2007 and 2008-2017. We identified ZIP codes with significantly higher incidence rates than the state rates and examined their demographic and exposure characteristics. Further, we tested for spatial autocorrelation and identified spatial clusters using Moran's I statistic. Our results showed that approximately one in four ZIP codes had an incidence rate that was significantly higher than the PA state rate in each period studied. Clusters of higher incidences were detected in the southeastern part of PA bordering New Jersey. These areas tended to be more populated, of lower socioeconomic status, and closer to manufacturing facilities and major highways. Possibly driven by the community and environmental factors, the observed differences in disease incidence suggest the importance of including residential location in risk assessment tools for lung cancer.

Indexed as

Lung NeoplasmsCluster AnalysisHumansIncidenceNew JerseyPhiladelphiaclusteringenvironmental risk factorincidencelung cancerspatial autocorrelation

Identifiers

PMID33352953
PMCPMC7767044

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.