Evidence map›Paper›PMID 33852139›Full record

ArticleJournal of cancer survivorship : research and practice2022

Identifying breast cancer recurrence histories via patient-reported outcomes.

J David Beatty, Qin Sun, Daniel Markowitz, Jessica Chubak, Bin Huang, Ruth Etzioni

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2022. 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
0.3field-weighted citation impact, top 50% of its field
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, 6 citations in OpenAlex.

  1. Article
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

6 authors at 4 institutions in 1 country.

J David BeattySwedish Cancer Institute, Clinical Informatics, Seattle, USA.
Qin SunFred Hutchinson Cancer Research Center, Hutchinson Institute for Cancer Outcomes Research, Seattle, USA.
Daniel MarkowitzSwedish Cancer Institute, Clinical Informatics, Seattle, USA.
Jessica ChubakKaiser Permanente Washington Health Research Institute, Seattle, USA.
Bin HuangCollege of Medicine, Division of Cancer Biostatistics, University of Kentucky, Lexington, USA.
Ruth EtzioniFred Hutchinson Cancer Research Center, Public Health Sciences, Biostatistics Program, 1100 Fairview Avenue North, M2-B500, Seattle, WA, 98109, USA. retzioni@fredhutch.org.ORCID 0000-0002-9164-6370
Fred Hutch Cancer Center · USSeattle University · USKaiser Permanente Washington Health Research Institute · USUniversity of Kentucky · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Jennifer F Rogers · 2013 to 2026
$38.3M
ReCAPSE: Recurrence from Claims And PROs for SEER EnhancementUH3CA218909 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHUBAK, JESSICA, ETZIONI, RUTH D · 2020 to 2022
$1.7M
ReCAPSE: Recurrence from Claims And PROs for SEER EnhancementUG3CA218909 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHUBAK, JESSICA, ETZIONI, RUTH D · 2017 to 2018
$900k
NCI NIH HHS P30 CA177558NCI NIH HHS UG3 CA218909NCI NIH HHS UH3 CA218909
6 · The paper itself

Abstract

purposeTo test accuracy of patient self-report of breast cancer recurrence for enhancing standard population-based cancer registries that do not routinely collect cancer recurrence data despite the importance of this outcome.

methodsPotential research subjects were identified in the Breast Cancer Research Database (BCRD) of the Swedish Cancer Institute (SCI). The BCRD has collected data within 45 days of each medical encounter on new primary breast cancer patients receiving all or part of their initial care at SCI. Females diagnosed with a new primary breast cancer 2004-2016, Stages I-III, and alive at the time of study initiation (2018) were identified. Recurrent breast cancer patients were matched 1:1 to surviving non-recurrent patients by patient age, date of diagnosis, and single or multiple primary tumors. Consented research subjects were surveyed about their initial and subsequent diagnostic, therapeutic, and recurrent events. PRO survey responses were compared with BCRD information for each individual participant. Discrepancies were reviewed in medical records.

resultsA matched sample of 88 recurrent and 88 non-recurrent patients were used in analyses. Respondents correctly identified the date of diagnosis of first primary breast cancer within 1 year 94% (165/176). Recurrence was reported by 97% (85/88) of recurrent patients. No recurrence was reported by 100% (88/88) of non-recurrent patients. Recurrence date within 1 year was correctly identified in 79% (67/85). Recurrence site was correctly identified in 82% (70/85). Medical record review of survey-registry discrepancies led to BCRD corrections in 4.5% (8/176) of cases. IMPLICATIONS FOR CANCER SURVIVORS: Breast cancer patients can accurately report their disease characteristics, treatments, and recurrence history. Patient-reported information would enhance cancer registry data.

Indexed as

Breast NeoplasmsFemaleHumansNeoplasm Recurrence, LocalPatient Reported Outcome MeasuresRegistriesSurveys and QuestionnairesBreast cancerCancer recurrenceMetastasisPatient-reported outcomes

Identifiers

PMID33852139
PMCPMC8525779
OpenAlexW3155163439

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.