Evidence map›Paper›PMID 31350005›Full record

ArticleAmerican journal of surgery2019

Clinical and pathological stage discordance among 433,514 breast cancer patients.

Jennifer K Plichta, Samantha M Thomas, Amanda R Sergesketter, Rachel A Greenup, Oluwadamilola M Fayanju, Laura H Rosenberger, Nina Tamirisa, Terry Hyslop, E Shelley Hwang

Abstract read
In one paragraph

Article in American journal of surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  13. Prospective on Imaging Mass Spectrometry in Clinical Diagnostics.Molecular & cellular proteomics : MCP · 2023
    Review
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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.

Jennifer K PlichtaDepartment of Surgery, Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA. Electronic address: jennifer.plichta@duke.edu.
Samantha M ThomasDuke Cancer Institute, Durham, NC, USA; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA.
Amanda R SergesketterDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Rachel A GreenupDepartment of Surgery, Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA.
Oluwadamilola M FayanjuDepartment of Surgery, Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA.
Laura H RosenbergerDepartment of Surgery, Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA.
Nina TamirisaDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Terry HyslopDuke Cancer Institute, Durham, NC, USA; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA.
E Shelley HwangDepartment of Surgery, Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA.

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
Interdisciplinary Research Careers in Women's HealthK12HD043446 · NICHD · DUKE UNIVERSITY · PI AMUNDSEN, CINDY · 2002 to 2023
$9.6M
Institutional Career Development CoreKL2TR002554 · NCATS · DUKE UNIVERSITY · PI SVETKEY, LAURA P · 2018 to 2022
$8.2M
Duke CTSA (Composite)KL2TR001115 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, KRAFT, MONICA · 2013 to 2017
$5.1M
NCATS NIH HHS KL2 TR001115NCATS NIH HHS KL2 TR002554NCI NIH HHS P30 CA014236NICHD NIH HHS K12 HD043446
6 · The paper itself

Abstract

backgroundWe aim to determine clinical and pathological stage discordance rates and to evaluate factors associated with discordance.

methodsAdults with clinical stages I-III breast cancer were identified from the National Cancer Data Base. Concordance was defined as cTN = pTN (discordance: cTN≠pTN). Multivariate logistic regression was used to identify factors associated with discordance.

resultsComparing clinical and pathological stage, 23.1% were downstaged and 8.7% were upstaged. After adjustment, factors associated with downstaging (vs concordance) included grade 3 (OR 10.56, vs grade 1) and HER2-negative (OR 3.79). Factors associated with upstaging (vs concordance) were grade 3 (OR 10.56, vs grade 1), HER2-negative (OR 1.25), and lobular histology (OR 2.47, vs ductal). ER-negative status was associated with stage concordance (vs downstaged or upstaged, OR 0.52 and 0.87).

conclusionsAmong breast cancer patients, nearly one-third exhibit clinical-pathological stage discordance. This high likelihood of discordance is important to consider for counseling and treatment planning.

Indexed as

AdultAgedBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansLogistic ModelsMaleMastectomyMiddle AgedNeoplasm StagingRetrospective StudiesErb-b2 Receptor Tyrosine KinasesBreast cancer stagingClinical stagePathological stageStage discordance

Identifiers

PMID31350005
PMCPMC6768746

What OpenQuestion holds

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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.