Evidence map›Paper›PMID 32712878›Full record

ReviewBreast cancer research and treatment2020

A system for risk stratification and prioritization of breast cancer surgeries delayed by the COVID-19 pandemic: preparing for re-entry.

Barbara L Smith, Anvy Nguyen, Jenna E Korotkin, Bridget N Kelly, Michelle C Specht, Laura M Spring, Beverly Moy, Steven J Isakoff, Michele A Gadd

Abstract readReview
In one paragraph

Review in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  7. Article
  8. The Impact of the COVID-19 Pandemic on Breast Imaging.Radiologic clinics of North America · 2021
    Review
  9. Review
  10. Article
  11. 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

9 authors.

Barbara L SmithDivision of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Yawkey 9A, 55 Fruit St, Boston, MA, 02114, USA. blsmith1@mgh.harvard.edu.ORCID http://orcid.org/0000-0003-4281-665X
Anvy NguyenDivision of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Yawkey 9A, 55 Fruit St, Boston, MA, 02114, USA.
Jenna E KorotkinDivision of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Yawkey 9A, 55 Fruit St, Boston, MA, 02114, USA.
Bridget N KellyDivision of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Yawkey 9A, 55 Fruit St, Boston, MA, 02114, USA.
Michelle C SpechtDivision of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Yawkey 9A, 55 Fruit St, Boston, MA, 02114, USA.
Laura M SpringDepartment of Hematology Oncology, Massachusetts General Hospital, Boston, MA, USA.
Beverly MoyDepartment of Hematology Oncology, Massachusetts General Hospital, Boston, MA, USA.
Steven J IsakoffDepartment of Hematology Oncology, Massachusetts General Hospital, Boston, MA, USA.
Michele A GaddDepartment of Hematology Oncology, Massachusetts General Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDuring the COVID-19 pandemic, most breast surgery for benign and malignant conditions has been postponed, creating a backlog of patients who will need surgery. A fair and transparent system for assessing the risk of further delaying surgery for individual patients to prioritize surgical scheduling is needed.

methodsFactors related to risk of delaying surgery for breast patients were identified. Scores were assigned to each factor, with higher scores indicating a greater risk from delaying surgery. REDCap and Microsoft Excel tools were designed to track and score delayed patients.

resultsPublished data and multidisciplinary clinical judgement were used to assign risk scores based on patient and tumor factors, length of delay, and tumor response to preoperative therapy. Patients completing neoadjuvant chemotherapy were assigned the highest scores as their options for delaying surgery are most limited. Among patients receiving neoadjuvant endocrine therapy or no medical therapy, higher scores were assigned for low-estrogen receptor or high-genomic risk scores, higher grade, larger tumors, younger age and longer delay. High priority scores were assigned for progression during preoperative therapy. Low scores were assigned for re-excisions, atypical lesions and other benign indications. There was good agreement of the tool's ranking of sample patients with rankings by experienced clinicians. The tool generates risk-stratified patient lists by surgeon or institution to facilitate assignment of surgery dates.

conclusionsThis tool generates a clinically consistent, risk-stratified priority list of breast surgical procedures delayed by the COVID-19 pandemic. This systematic approach may facilitate surgical scheduling as conditions normalize.

Indexed as

Breast NeoplasmsCoronavirus InfectionsMastectomyNeoplasm StagingPandemicsPneumonia, ViralRisk AssessmentTime-to-TreatmentBetacoronavirusCOVID-19FemaleHumansSARS-CoV-2Breast surgeryClinical decision-makingCOVID-19Scoring systemSurgical prioritySurgical scheduling

Identifiers

PMID32712878
PMCPMC7382558

What OpenQuestion holds

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Registered trials

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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.