Evidence map›Paper›PMID 34325907›Full record

ArticleAmerican journal of surgery2022

Metastatic breast cancer: Who benefits from surgery?

Caitlin E Marks, Samantha M Thomas, Oluwadamilola M Fayanju, Gayle DiLalla, Sarah Sammons, E Shelley Hwang, Jennifer K Plichta

Open access · greenAbstract read
In one paragraph

Article in American journal of surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Caitlin E MarksDuke University Medical Center, Department of Surgery, Durham, NC, USA.
Samantha M ThomasDuke Cancer Institute, Durham, NC, USA; Biostatistics Shared Resource, Duke Cancer Institute, Durham, NC, USA; Duke University, Department of Biostatistics & Bioinformatics, Durham, NC, USA.
Oluwadamilola M FayanjuDuke University Medical Center, Department of Surgery, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA; Duke University Medical Center, Department of Population Health Sciences, Durham, NC, USA; Durham VA Medical Center, Department of Surgery, Durham, NC, USA.
Gayle DiLallaDuke University Medical Center, Department of Surgery, Durham, NC, USA; Duke Women's Cancer Care Raleigh, Raleigh, NC, USA.
Sarah SammonsDuke Cancer Institute, Durham, NC, USA; Duke University Medical Center, Department of Medicine, Durham, NC, USA.
E Shelley HwangDuke University Medical Center, Department of Surgery, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA.
Jennifer K PlichtaDuke University Medical Center, Department of Surgery, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA; Duke University Medical Center, Department of Population Health Sciences, Durham, NC, USA. Electronic address: jennifer.plichta@duke.edu.
Duke Medical Center · USDuke University · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
Using Modifiable Risk Factors to Predict Inferior Care and Survival after Breast Cancer Diagnosis: A Novel Approach to Addressing Health DisparitiesK08CA241390 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FAYANJU, OLUWADAMILOLA M. · 2019 to 2023
$1.1M
NCI NIH HHS K08 CA241390NCI NIH HHS P30 CA014236
6 · The paper itself

Abstract

backgroundWe sought to identify characteristics of metastatic breast cancer (MBC) patients who may benefit most from primary tumor resection.

methodsRecursive partitioning analysis (RPA) was used to categorize non-surgical patients with de novo MBC in the NCDB (2010-2015) into 3 groups (I/II/III) based on 3-year overall survival (OS). After bootstrapping (BS), group-level profiles were applied, and the association of surgery with OS was estimated using Cox proportional hazards models.

resultsAll patients benefitted from surgery (median OS, surgery vs no surgery): 72.7 vs 42.9 months, 47.3 vs 30.4 months, 23.8 vs 14.4 months (all p < 0.001) in BS-groups I, II, and III, respectively. After adjustment, surgery remained associated with improved OS (HR 0.52, 95% CI 0.50-0.55). The effect of surgery on OS differed quantitatively across groups.

conclusionPrognostic groups may inform the degree of benefit from surgery, with the greatest benefit seen in those with the most favorable survival.

Indexed as

Patient SelectionAdultAgedBreast NeoplasmsClinical Decision-MakingFemaleFollow-Up StudiesHumansKaplan-Meier EstimateMastectomyMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsRetrospective StudiesRisk AssessmentBreast surgeryMetastatic breast cancerStage IV breast cancerSurvival

Identifiers

PMID34325907
PMCPMC8688223
OpenAlexW3184478446

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.