Evidence map›Paper›PMID 38681179›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2024

Accuracy of a Cancer Registry Versus Clinical Care Team Chart Abstraction in Identifying Cancer Recurrence.

Elsa A Sutton, Benjamin C Kamdem Talom, Daniel K Ebner, Taylor M Weiskittel, William G Breen, Roman O Kowalchuk, Heather J Gunn, Courtney N Day, Eric J Moore, Sara J Holton and 4 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

14 authors.

Elsa A SuttonDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.
Benjamin C Kamdem TalomDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.
Daniel K EbnerDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.
Taylor M WeiskittelDepartment of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN.
William G BreenDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.
Roman O KowalchukDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.
Heather J GunnDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Courtney N DayDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Eric J MooreDepartment of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN.
Sara J HoltonDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.
Kathryn M Van AbelDepartment of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN.
Chadi N Abdel-HalimDepartment of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN.
David M RoutmanDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.
Mark R WaddleDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the completeness and reliability of recurrence data from an institutional cancer registry for patients with head and neck cancer. Patients and Methods: Recurrence information was collected by radiation oncology and otolaryngology researchers. This was compared with the institutional cancer registry for continuous patients treated with radiation therapy for head and neck cancer at a tertiary cancer center. The sensitivity and specificity of institutional cancer registry data was calculated using manual review as the gold standard. False negative recurrences were compared to true positive recurrences to assess for differences in patient characteristics. Results: A total of 1338 patients who were treated from January 1, 2010, through December 31, 2017, were included in a cancer registry and underwent review. Of them, 375 (30%) had confirmed cancer recurrences, 45 (3%) had concern for recurrence without radiologic or pathologic confirmation, and 31 (2%) had persistent disease. Most confirmed recurrences were distant (37%) or distant plus locoregional (29%), whereas few were local (11%), regional (9%), or locoregional (14%) alone. The cancer registry accuracy was 89.4%, sensitivity 61%, and specificity 99%. Time to recurrence was associated with registry accuracy. True positives had recurrences at a median of 414 days vs 1007 days for false negatives. Conclusion: Currently, institutional cancer registry recurrence data lacks the required accuracy for implementation into studies without manual confirmation. Longer follow-up of cancer status will likely improve sensitivity. No identified differences in patients accounted for differences in sensitivity. New, ideally automated, data abstraction tools are needed to improve detection of cancer recurrences and minimize manual chart review.

Identifiers

PMID38681179
PMCPMC11046071

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