Evidence map›Paper›PMID 32757117›Full record

ArticleCancer causes & control : CCC2020

Estimating cancer treatment intensity from SEER cancer registry data: methods and implications for population-based registry studies of pediatric cancers.

Jessica L Tobin, Stefanie M Thomas, David R Freyer, Ann S Hamilton, Joel E Milam

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer causes & control : CCC, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  8. Beyond depression: correlates of well-being in young adult survivors of childhood cancers.Journal of cancer survivorship : research and practice · 2023
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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

5 authors.

Jessica L TobinDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Jessi.tobin@gmail.com.ORCID http://orcid.org/0000-0002-8984-4298
Stefanie M ThomasPediatric Hematology Oncology and Blood and Marrow Transplantation, Cleveland Clinic, Cleveland, USA.
David R FreyerChildren's Hospital Los Angeles, Los Angeles, CA, USA.
Ann S HamiltonDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Joel E MilamDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
CALIFORNIA COORDINATED CANCER PREVENTION & CONTROL PROGRAMU58DP003862 · DP · CALIFORNIA STATE DEPT OF PUBLIC HEALTH · PI SNIPES, KURT P · 2012 to 2014
$31.5M
Training grant for Cancer Control and EpidemiologyT32CA009492 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN · 1985 to 2019
$7.4M
Reducing racial/ethnic inequities in childhood cancer survivorshipR01MD007801 · NIMHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILAM, JOEL E · 2014 to 2018
$2.1M
NCCDPHP CDC HHS U58 DP003862NCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS P30 CA014089NCI NIH HHS P30CA014089NCI NIH HHS T32 CA009492NCI NIH HHS T32CA009492NIMHD NIH HHS R01 MD007801
6 · The paper itself

Abstract

objectiveThe Intensity of Treatment Rating (ITR) Scale condenses treatment and clinical characteristics into a single measure to study treatment effects on downstream health outcomes across cancer types. This rating was originally developed for clinicians to determine from medical charts. However, large studies are often unable to access medical charts for all study participants. We developed and tested a method of estimating treatment intensity (TI) using cancer registry and patient self-reported data.

methodsWe estimated two versions of TI for a cohort of pediatric cancer survivors-one utilized information solely available from cancer registry variables (TI

resultsIn comparison to TI

conclusionsWe developed a methodology to estimate TI for pediatric cancer research when medical chart review is not possible. High reliability was observed for ALL, the most common pediatric cancer. Additional validation is needed among a larger sample of other cancer subgroups. The ability to estimate TI from cancer registry data would assist with monitoring effects of treatment during survivorship in registry-based epidemiological studies.

Indexed as

AdolescentAdultAlgorithmsCancer SurvivorsChildCohort StudiesFemaleHumansMaleNeoplasmsReproducibility of ResultsSEER ProgramSelf ReportSurveys and QuestionnairesYoung AdultCancer registryEpidemiologyPediatric and adolescent cancerTreatment intensity

Identifiers

PMID32757117
PMCPMC7537342

What OpenQuestion holds

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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.