Evidence map›Paper›PMID 34309779›Full record

ArticleAnnals of surgical oncology2021

Mortality in Older Patients with Breast Cancer Undergoing Breast Surgery: How Low is "Low Risk"?

Jacquelyn Dillon, Samantha M Thomas, Laura H Rosenberger, Gayle DiLalla, Oluwadamilola M Fayanju, Carolyn S Menendez, E Shelley Hwang, Jennifer K Plichta

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Systemic inflammation in older patients with breast cancer: the missing point in geriatric evaluations to sharpen survival prediction.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  5. Article
  6. 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

8 authors.

Jacquelyn DillonDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Samantha M ThomasDuke Cancer Institute, Durham, NC, USA.
Laura H RosenbergerDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Gayle DiLallaDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Oluwadamilola M FayanjuDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Carolyn S MenendezDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
E Shelley HwangDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Jennifer K PlichtaDepartment of Surgery, Duke University Medical Center, Durham, NC, USA. jennifer.plichta@duke.edu.ORCID http://orcid.org/0000-0002-7411-0558

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 CA014236NIH HHS 1K08CA241390NIH HHS P30CA014236
6 · The paper itself

Abstract

backgroundBreast surgery carries a low risk of postoperative mortality. For older patients with multiple comorbidities, even low-risk procedures can confer some increased perioperative risk. We sought to identify factors associated with postoperative mortality in breast cancer patients ≥70 years to create a nomogram for predicting risk of death within 90 days.

methodsPatients diagnosed with nonmetastatic invasive breast cancer (2010-2016) were selected from the National Cancer Database. Unadjusted OS was estimated using the Kaplan-Meier method. Multivariate logistic regression was used to estimate the association of age and surgery with 90-day mortality and to build a predictive nomogram.

resultsAmong surgical patients ≥70 years, unadjusted 90-day mortality increased with increasing age (70-74 = 0.4% vs. ≥85 = 1.6%), comorbidity score (0 = 0.5% vs. ≥3 = 2.7%), and disease stage (I = 0.4% vs. III = 2.7%; all p < 0.001). After adjustment, death within 90 days of surgery was associated with higher age (≥85 vs. 70-74: odds ratio [OR] 3.16, 95% confidence interval [CI] 2.74-3.65), comorbidity score (≥3 vs. 0: OR 4.79, 95% CI 3.89-5.89), and disease stage (III vs. I: OR 4.30, 95% CI 3.69-5.00). Based on these findings, seven variables (age, gender, comorbidity score, facility type, facility location, clinical stage, and surgery type) were selected to build a nomogram; estimates of risk of death within 90 days ranged from <1 to >30%.

conclusionsBreast operations remain relatively low-risk procedures for older patients with breast cancer, but select factors can be used to estimate the risk of postoperative mortality to guide surgical decision-making among older women.

Indexed as

Breast NeoplasmsAgedComorbidityFemaleHumansLogistic ModelsMastectomyOdds RatioPostoperative ComplicationsRetrospective StudiesRisk Factors

Identifiers

PMID34309779
PMCPMC8425718

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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.