Evidence map›Paper›PMID 41763113›Full record

ArticleCancer epidemiology2026

Assessing Concordance of Cancer Registry Data and Electronic Health Record Data in Metastatic Cancer: a Cohort Study of Patients with Colorectal Liver Metastasis in a U.S. Integrated Health System.

David G Brauer, Ayako Sekiya, Nikitha Vobugari, Ajay Prakash, Bethel Ozed-Williams, Brett L Ecker, Jake S Ankeny, Eric H Jensen, Schelomo Marmor

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer epidemiology, 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

9 authors.

David G BrauerDivision of Surgical Oncology, University of Minnesota Masonic Cancer Center, Minneapolis, MN, USA. Electronic address: brauerd@umn.edu.
Ayako SekiyaBerkeley Research Group, Emeryville, California, USA.
Nikitha VobugariDivision of Hematology, Oncology and Transplantation, University of Minnesota Masonic Cancer Center, Minneapolis, MN, USA.
Ajay PrakashDivision of Hematology, Oncology and Transplantation, University of Minnesota Masonic Cancer Center, Minneapolis, MN, USA.
Bethel Ozed-WilliamsDivision of Surgical Oncology, University of Minnesota Masonic Cancer Center, Minneapolis, MN, USA.
Brett L EckerDivision of Surgical Oncology, Rutgers Cancer Institute, New Brunswick, NJ, USA.
Jake S AnkenyDivision of Surgical Oncology, University of Minnesota Masonic Cancer Center, Minneapolis, MN, USA.
Eric H JensenDivision of Surgical Oncology, University of Minnesota Masonic Cancer Center, Minneapolis, MN, USA.
Schelomo MarmorDivision of Surgical Oncology, University of Minnesota Masonic Cancer Center, Minneapolis, MN, USA.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8M
NCATS NIH HHS UM1 TR004405
6 · The paper itself

Abstract

Rates of metastatic cancer are increasing, but our knowledge of the accuracy of metastatic diagnoses within real world data is limited. In this brief report, to evaluate the accuracy of various data sources, we assessed concordance between cancer registry diagnoses and electronic health record (EHR) International Classification of Diseases diagnoses for the presence of colorectal liver metastases (CRLM) for patients within a single academic health care system. 1025 patients diagnosed with CRLM were evaluated. Concordance between cancer registry data and EHR data for the diagnosis of synchronous CRLM was low (k = 0.66). Additional data quality issues identified included (1) a 9 % rate of false positives in cancer registry data for the diagnosis of CRLM and (2) discordant data between the metastatic diagnosis and cancer registry stage affecting 16 % of cases. These results highlight important limitations of real world databases in the identification and study of patients with metastatic cancer.

Indexed as

Colorectal NeoplasmsElectronic Health RecordsLiver NeoplasmsRegistriesAgedCohort StudiesFemaleHumansMaleMiddle AgedUnited StatesCancer registryColorectal liver metastasesElectronic health recordInternational classification of diseaseMetastatic cancerReal world data

Identifiers

PMID41763113
PMCPMC13078404

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.