Evidence map›Paper›PMID 39548728›Full record

ArticleCancer medicine2024

Capturing Chemotherapy and Radiotherapy Dose Among Breast Cancer Patients With the Utah All-Payer Claims Database Compared With Gold-Standard Abstraction.

Alzina Koric, Chun-Pin Esther Chang, Shane Lloyd, Mark Dodson, Vikrant G Deshmukh, Michael G Newman, Ankita P Date, Jen A Doherty, Lisa H Gren, Christina A Porucznik and 3 more

Abstract readComparative Study
In one paragraph

Article in Cancer medicine, 2024. 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

13 authors.

Alzina KoricDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID https://orcid.org/0009-0003-9943-2945
Chun-Pin Esther ChangHuntsman Cancer Institute, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-0878-997X
Shane LloydHuntsman Cancer Institute, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-4235-7652
Mark DodsonIntermountain Healthcare, Salt Lake City, Utah, USA.
Vikrant G DeshmukhUniversity of Utah Health Sciences Center, Salt Lake City, Utah, USA.
Michael G NewmanHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Ankita P DatePedigree and Population Resource, Population Sciences, Huntsman Cancer Institute, Salt Lake City, Utah, USA.
Jen A DohertyHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Lisa H GrenDivision of Public Health University of Utah School of Medicine, Salt Lake City, Utah, USA.
Christina A PorucznikDivision of Public Health University of Utah School of Medicine, Salt Lake City, Utah, USA.
Benjamin A HaalandDepartment of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, Utah, USA.
N Lynn HenryDivision of Hematology and Oncology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Mia HashibeHuntsman Cancer Institute, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-6903-2049

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI KATHARINE S ULLMAN · 1986 to 2026
$72.6M
Postdoctoral Training in Cancer Prevention and ControlT32CA190194 · NCI · WASHINGTON UNIVERSITY · PI GRAHAM A. COLDITZ, AIMEE S JAMES · 2014 to 2026
$4.7M
HCI Cancer Center Support Grant P30 CA42014Huntsman Cancer FoundationHuntsman Cancer Institute, University of UtahNCI NIH HHS P30 CA042014NCI NIH HHS RRSS HHSN261201300017I/HHSN26100008NCI NIH HHS T32 CA190194NCI of the National Institutes of Health (T32CA190194)NIH HHSthe US Centers for Disease Control and Prevention's National Program of Cancer Registries NU58DP0063200-01University of Utah
6 · The paper itself

Abstract

objectiveTo evaluate the validity of the Utah statewide All-Payer Claims Database (APCD), we compared breast cancer-specific treatments and dosages with gold-standard abstraction of medical records. STUDY

designIn this pilot study, breast cancer treatments were abstracted by a certified tumor registrar at the Utah Cancer Registry (UCR) for patients diagnosed in 2013 with breast cancer. The abstraction of medical records was the gold standard for comparison with treatments identified in the APCD. The reliability and agreement between the treatment identified in the APCD and abstraction data were measured with sensitivity and specificity. Dose consistency was measured with the intraclass correlation coefficients (ICC).

resultsCompared with the 186 abstractions, the sensitivity of the APCD to identify chemotherapy agents was high: 89% for any agent, 91% for carboplatin, 83% for docetaxel, 82% for doxorubicin, or 94.7% for biologic therapy. The consistency between the chemotherapy dosage identified in the claims and the abstraction varied from 63% to 76%. For radiotherapy, the sensitivity of the claims to identify the completed radiotherapy regimen was 66%. The ICC between radiotherapy doses identified in the claims and the abstraction was 54% (95% confidence interval [CI], 48%, 67%).

conclusionsEmploying these novel methods, the claims were highly reliable in identifying cancer treatment agents overall, namely carboplatin, docetaxel, and trastuzumab. The claims were of moderate utility in capturing the treatment dose information. In addition to the APCD, the use of multiple data sources improved the completeness of cancer treatment information.

Indexed as

Breast NeoplasmsDatabases, FactualAdultAgedAntineoplastic AgentsFemaleHumansInsurance Claim ReviewMiddle AgedPilot ProjectsRadiotherapy DosageRegistriesReproducibility of ResultsUtahAntineoplastic AgentsAPCDbreast cancerchemotherapygold standardmethodsradiotherapy dose

Identifiers

PMID39548728
PMCPMC11568241

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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.