Evidence map›Paper›PMID 31381143›Full record

ReviewCancer2019

Unlocking the potential of population-based cancer registries.

Thomas C Tucker, Eric B Durbin, Jaclyn K McDowell, Bin Huang

Abstract readReview
In one paragraph

Review in Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Thomas C TuckerKentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington, Kentucky.
Eric B DurbinKentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington, Kentucky.
Jaclyn K McDowellKentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington, Kentucky.ORCID 0000-0002-4463-0579
Bin HuangKentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington, Kentucky.

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI KATHLEEN L. O'CONNOR · 2013 to 2026
$38.3M
CDC HHS U58DP000810NCCDPHP CDC HHS U58 DP000810NCI NIH HHS HHSN261201000131CNCI NIH HHS HHSN261201800011CNCI NIH HHS HHSN2612018000131NCI NIH HHS HHSN261201800013CNCI NIH HHS HHSN261201800013INCI NIH HHS HHSN261201800031CNCI NIH HHS P30 CA177558
6 · The paper itself

Abstract

Population-based cancer registries have improved dramatically over the last 2 decades. These central cancer registries provide a critical framework that can elevate the science of cancer research. There have also been important technical and scientific advances that help to unlock the potential of population-based cancer registries. These advances include improvements in probabilistic record linkage, refinements in natural language processing, the ability to perform genomic sequencing on formalin-fixed, paraffin-embedded (FFPE) tissue, and improvements in the ability to identify activity levels of many different signaling molecules in FFPE tissue. This article describes how central cancer registries can provide a population-based sample frame that will lead to studies with strong external validity, how central cancer registries can link with public and private health insurance claims to obtain complete treatment information, how central cancer registries can use informatics techniques to provide population-based rapid case ascertainment, how central cancer registries can serve as a population-based virtual tissue repository, and how population-based cancer registries are essential for guiding the implementation of evidence-based interventions and measuring changes in the cancer burden after the implementation of these interventions.

Indexed as

Biomedical ResearchFixativesFormaldehydeHigh-Throughput Nucleotide SequencingHumansNeoplasmsParaffin EmbeddingPopulation SurveillanceRegistriesTissue FixationFixativesFormaldehydecancer burdencancer surveillancecentral cancer registriesexternal validityoutcomes researchpopulation-based

Identifiers

PMID31381143
PMCPMC6851856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.