Evidence map›Paper›PMID 42891738›Full record

ArticleCancer causes & control : CCC2026

Geographic disparities and temporal trends in aggressive prostate cancer: a SEER population-based analysis (2004-2022).

Yifei Xu, Ayush Singh, Eric Li, Nicholas George Zaorsky, Nathaniel Geyer, Yifan Yang, Yanxu Yang, Alicia C McDonald, Lijun Zhang, Ming Wang

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yifei XuDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Ayush SinghDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH, USA.
Eric LiThe University of Texas at Austin, 2515 Speedway, Austin, TX, 2515, USA.
Nicholas George ZaorskyDepartment of Radiation Oncology, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
Nathaniel GeyerDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA.
Yifan YangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Yanxu YangDepartment of Pediatrics, Emory University School of Medicine, 2015 Uppergate Drive, Atlanta, GA, 30322, USA.
Alicia C McDonaldDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA.
Lijun ZhangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Ming WangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, 10900 Euclid Avenue, Cleveland, OH, 44106, USA. mxw827@case.edu.ORCID https://orcid.org/0000-0002-9977-7041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeProstate cancer burden may be amplified in rural regions or Appalachia areas, where access to screening and healthcare may be limited. This study examined geographic disparities and temporal trends in aggressive and metastatic prostate cancer across four groups defined by rurality and Appalachian status, while assessing assessed racial differences.

methodsWe conducted a retrospective study using the Surveillance, Epidemiology, and End Results (SEER) including newly diagnosed prostate cancer men aged ≥40 years (2004-2022). Age-adjusted incidences of more aggressive and metastatic cases were estimated for each geographical region. Multivariable logistic regression was used to evaluate geographic and racial disparities in risk of more aggressive cases, adjusting for demographic and clinical factors.

resultsWe identified 951,965 eligible cases. Overall prostate cancer incidence declined in most regions, with a decrease in rural Appalachia (Annual percent changes [APC] = - 1.7%; 95% CI: [- 2.98%, - 0.42%]). Incidence of more aggressive cases increased over time particularly in urban Appalachia (APC = 2.73%; 95% CI: [1.20%, 4.65%]). For metastatic cases, urban Appalachia had the lowest overall incidence and rural non-Appalachia the highest, and rates increased across regions after 2020. In multivariable regression, geographic patterns differed by race. Among White men, compared with urban non-Appalachia, the odds of more aggressive prostate cancer were higher in rural non-Appalachia and rural Appalachia but lower in urban Appalachia. However, among Black men, those residing in rural Appalachia had significantly lower odds than those residing in urban non-Appalachia. Older age, Hispanic ethnicity, higher serum PSA, and lymph node-positive status were also associated with higher odds of more aggressive prostate cancer.

conclusionProstate cancer burden and severity varied by Appalachian status and rurality, supporting targeted, region- and race-specific strategies to improve early detection and access to high-quality care.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesProstatic NeoplasmsAdultAgedAppalachian RegionHumansIncidenceMaleMiddle AgedRetrospective StudiesRural PopulationSEER ProgramUnited StatesAge-adjusted incidenceAppalachiaMetastasisProstate cancer aggressivenessRurality

Identifiers

PMID42891738
PMCPMC13676493

What OpenQuestion holds

Textmetadata
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.