Evidence map›Paper›PMID 37408787›Full record

ArticleThe Journal of the Oklahoma State Medical Association

Investigation of Geographical Disparities: The Use of An Interpolation Method For Cancer Registry Data.

Janis E Campbell, Ami Elizabeth Sedani, Hanh Dung N Dao, Ayesha Sambo, Mark Doescher, Amanda Janitz

Abstract read

In one paragraph

Article in The Journal of the Oklahoma State Medical Association. 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

6 authors.

Janis E CampbellDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 801 NE 13th Street, Oklahoma City, OK 73104.

Ami Elizabeth SedaniDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 801 NE 13th Street, Oklahoma City, OK 73104.

Hanh Dung N DaoDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 801 NE 13th Street, Oklahoma City, OK 73104.

Ayesha SamboStephenson Cancer Center, University of Oklahoma Health Sciences Center, 801 NE 13th Street, Oklahoma City, OK 73104.

Mark DoescherStephenson Cancer Center, University of Oklahoma Health Sciences Center, 801 NE 13th Street, Oklahoma City, OK 73104.

Amanda JanitzDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 801 NE 13th Street, Oklahoma City, OK 73104.

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Robert Hal Scofield · 2013 to 2026

$68.2M

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Wade Williams · 2018 to 2026

$27.1M

NCI NIH HHS P30 CA225520NIGMS NIH HHS U54 GM104938

6 · The paper itself

Abstract

The American Cancer Society estimated 1.9 million diagnosed cancer cases and 608,570 cancer deaths in 2021 in the US; for Oklahoma, they estimated 22,820 cases and 8,610 deaths. This project aimed to demonstrate a method to systematically describe cancer in an accurate and visually attractive, yet simple to make, interpolated map using ZIP Code level registry data, as it is the smallest area unit with high accuracy using inverse distance weighting. We describe a process of creating smoothed maps with an appropriate, well-described, simple, replicable method. These smoothed maps display low (cold) or high (hot) areas of incidence rates of: (a) all cancer combined, (b) colorectal cancer and lung cancer rates by gender, (c) female breast cancer, and (d) prostate cancer, by ZIP Codes for Oklahoma from 2013-2017. The methods we present in this paper provide an effective visualization to pinpoint low (cold) or high (hot) areas of cancer incidence.

Indexed as

CancerGISInverse Distance WeightingMaps

Identifiers

PMID37408787

PMCPMC10321322

What OpenQuestion holds

Textmetadata

LicenceTDM

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.