Evidence map›Paper›PMID 39736650›Full record

ArticleBreast cancer research : BCR2024

Surgical delay-associated mortality risk varies by subtype in loco-regional breast cancer patients in SEER-Medicare.

Macall Leslie Salewon, Rashmi Pathak, William C Dooley, Ronald A Squires, Hallgeir Rui, Inna Chervoneva, Takemi Tanaka

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Macall Leslie SalewonStephenson Cancer Center, University of Oklahoma Health Sciences Center, 975 NE, 10th, Oklahoma City, OK, 73104, USA.
Rashmi PathakStephenson Cancer Center, University of Oklahoma Health Sciences Center, 975 NE, 10th, Oklahoma City, OK, 73104, USA.
William C DooleyDepartment of Surgery, School of Medicine, University of Oklahoma Health Sciences Center, 800 Stanton L. Young Blvd., Oklahoma City, OK, 73104, USA.
Ronald A SquiresDepartment of Surgery, School of Medicine, University of Oklahoma Health Sciences Center, 800 Stanton L. Young Blvd., Oklahoma City, OK, 73104, USA.
Hallgeir RuiDepartment of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, 1015 Chestnut St., Suite 520, Philadelphia, PA, 19107, USA.
Inna ChervonevaDivision of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, 1015 Chestnut St., Suite 520, Philadelphia, PA, 19107, USA. Inna.Chervoneva@jefferson.edu.
Takemi TanakaStephenson Cancer Center, University of Oklahoma Health Sciences Center, 975 NE, 10th, Oklahoma City, OK, 73104, USA. takemi-tanaka@ouhsc.edu.

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
Congressionally Directed Medical Research Programs HT9425-23-1-0710NCI NIH HHS P30 CA225520
6 · The paper itself

Abstract

Substantial evidence supports that delay of surgery after breast cancer diagnosis is associated with increased mortality risk, leading to the introduction of a new Commission on Cancer quality measure for receipt of surgery within 60 days of diagnosis for non-neoadjuvant patients. Breast cancer subtype is a critical prognostic factor and determines treatment options; however, it remains unknown whether surgical delay-associated breast cancer-specific mortality (BCSM) risk differs by subtype. This retrospective cohort study aimed to assess whether the impact of delayed surgery on survival varies by subtype (hormone [HR] + /HER2 -, HR -/HER2 -, and HER2 +) in patients with loco-regional breast cancer who received surgery as their first treatment between 2010 and 2017 using the SEER-Medicare database. Exposure of this study was continuous time to surgery from diagnostic biopsy (TTS; days) in reference to TTS = 30 days. BCSM were evaluated as flexibly dependent on continuous time (days) to surgery from diagnosis (TTS) using Fine and Gray competing-risk regression models, respectively, by HR status. Inverse propensity score-weighting was adjusted for demographic, clinical, and treatment variables impacting TTS. Adjusted BCSM risk grew with increasing TTS across all subtypes; however, the pattern and extent of the association varied. HR + /HER2 - patients exhibited the most pronounced increase in BCSM risk associated with TTS, with approximately exponential growth after 42 days, with adjusted subdistribution hazard ratios (sHR) of 1.21 (95% CI: 1.06-1.37) at TTS = 60 days, 1.79 (95% CI: 1.40-2.29) at TTS = 90 days, and 2.83 (95% CI: 1.76-4.55) at TTS = 120 days. In contrast, both HER2 + and HR -/HER2 - patients showed slower, approximately linear growth in sHR, although non-significant in HR -HER2 -.

Indexed as

Breast NeoplasmsMedicareSEER ProgramTime-to-TreatmentAgedAged, 80 and overErb-b2 Receptor Tyrosine KinasesFemaleHumansMastectomyPrognosisRetrospective StudiesRisk FactorsUnited StatesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesBreast cancer-specific mortalityHER2Hormone-receptorSEER-MedicareSurgical delayTumor subtype

Identifiers

PMID39736650
PMCPMC11686992

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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.