Evidence map›Paper›PMID 37835482›Full record

ArticleCancers2023

The Impact of the COVID-19 Pandemic on Cancer Mortality in Pennsylvania: A Retrospective Study with Geospatial Analysis.

Savanna G Ledford, Fritz Kessler, Jennifer L Moss, Ming Wang, Eugene J Lengerich

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

5 authors.

Savanna G LedfordDepartment of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA.ORCID 0000-0002-4896-4007
Fritz KesslerDepartment of Geography, College of Earth and Mineral Sciences, University Park, The Pennsylvania State University, State College, PA 16801, USA.ORCID 0000-0002-0764-8454
Jennifer L MossDepartment of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA.
Ming WangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.
Eugene J LengerichDepartment of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA.ORCID 0000-0001-9872-1647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe sought to quantify the impact of the COVID-19 pandemic on cancer mortality and identify associated factors in Pennsylvania.

methodsThe retrospective study analyzed cross-sectional cancer mortality data from CDC WONDER for 2015 through 2020 for Pennsylvania and its 67 counties. The spatial distributions of 2019, 2020, and percentage change in age-adjusted mortality rates by county were analyzed via choropleth maps and spatial autocorrelation. A Wilcoxon Signed Rank Test was used to analyze whether the rates differed between 2019 and 2020. Quasi-Poisson and geographically weighted regression at the county level were used to assess the association between the 2019 rates, sex (percent female), race (percent non-White), ethnicity (percent Hispanic/Latino), rural-urban continuum codes, and socioeconomic status with the 2020 rates.

resultsAt the state level, the rate in 2020 did not reflect the declining annual trend (-2.7 per 100,000) in the rate since 2015. Twenty-six counties had an increase in the rate in 2020. Of the factors examined, the 2019 rates were positively associated with the 2020 rates, and the impact of sociodemographic and geographic factors on the 2020 rates varied by county.

conclusionsIn Pennsylvania, the 2020 cancer mortality rates did not decline as much as reported before the COVID-19 pandemic. The top five cancer types by rate were the same type for 2019 and 2020. Future cancer control efforts may need to address the impact of the COVID-19 pandemic on trends and geospatial distribution in cancer mortality.

Indexed as

cancer mortalityCOVID-19geospatial analysisPennsylvania

Identifiers

PMID37835482
PMCPMC10571537

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LicenceCC BY
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Registered trials

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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.