Evidence map›Paper›PMID 42094802›Full record

ArticleJAMIA open2026

Follow the data: tracking data quality and completeness in oncology real-world data.

Samantha J App, Anne-Marie Meyer, Shannon Silkensen, Cody Hudson, Inez Inman, R Hannes Niedner, Murat Sincan, Muhammad Shaalan Beg, Umit Topaloglu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Samantha J AppWake Forest School of Medicine, 9609 Medical Center Drive, Rockville, Maryland, MD, 20850, United States.
Anne-Marie MeyerCenter for Biomedical Informatics & Information Technology, National Cancer Institute, 9609 Medical Center Drive, Rockville, Maryland, MD, 20850, United States.
Shannon SilkensenCenter for Biomedical Informatics & Information Technology, National Cancer Institute, 9609 Medical Center Drive, Rockville, Maryland, MD, 20850, United States.
Cody HudsonWake Forest School of Medicine, 9609 Medical Center Drive, Rockville, Maryland, MD, 20850, United States.
Inez InmanWake Forest Baptist Medical Center, Medical Center Boulevard, Winston-Salem, North Carolina, NC, 27157, United States.
R Hannes NiednerCenter for Biomedical Informatics & Information Technology, National Cancer Institute, 9609 Medical Center Drive, Rockville, Maryland, MD, 20850, United States.
Murat SincanCenter for Biomedical Informatics & Information Technology, National Cancer Institute, 9609 Medical Center Drive, Rockville, Maryland, MD, 20850, United States.
Muhammad Shaalan BegCenter for Biomedical Informatics & Information Technology, National Cancer Institute, 9609 Medical Center Drive, Rockville, Maryland, MD, 20850, United States.
Umit TopalogluWake Forest School of Medicine, 9609 Medical Center Drive, Rockville, Maryland, MD, 20850, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Electronic Health Record (EHR) data are increasingly used in cancer research, yet the fidelity of this data when exchanged between systems remains poorly quantified. This study investigated the agreement in essential biomarker data after they are passed from the EHR into the cancer registry and Fast Healthcare Interoperability Resources (FHIR) extracts. Materials and Methods: This single-institution retrospective study compared demographics and 6 biomarkers from 30 lung cancer patients seen between July 2020 and July 2022. Manual review from the EHR served as the gold standard, with concordance tested between the source EHR, Institutional Cancer Registry, and FHIR exports. Results: Demographics showed high concordance across databases. In contrast, biomarker data present in the source EHR were missing in 80%-100% of FHIR extracts. The demographic registry variables were highly concordant. Discussion: This study reports a significant loss in biomarker data availability across real-world data (RWD) sources. Results underscore critical gaps in RWD extraction or exchange methods and highlight risks of relying on RWD without validation.

Indexed as

bioinformaticscancer biomarkersdata qualityelectronic health record

Identifiers

PMID42094802
PMCPMC13143418

What OpenQuestion holds

Textmetadata
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.