Evidence map›Paper›PMID 32776194›Full record

ArticleWorld journal of surgery2020

"First Do No Harm": Significance of Delays from Diagnosis to Surgery in Patients with Non-metastatic Breast Cancer.

Jennifer Xu, Luke Bromley, Grace Chew, Belinda Yeo

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Article in World journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

4 authors.

Jennifer XuUniversity of Melbourne, Parkville, VIC, 3010, Australia. jenxmu@gmail.com.ORCID http://orcid.org/0000-0001-8452-0713
Luke BromleyUniversity of Melbourne, Parkville, VIC, 3010, Australia.
Grace ChewDepartment of Surgery, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084, Australia.
Belinda YeoDepartment of Medical Oncology, Olivia Newton John Cancer Research Institute, 145 Studley Road, Heidelberg, VIC, 3084, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of patients with non-metastatic breast cancer will undergo surgery. This involves complex decisions that inevitably increase time from diagnosis to surgery beyond the currently recommended 30 days. This study aims to analyse factors that increase time to surgery and establish whether it is justifiable in the context of improved individualised breast cancer management.

methodsA retrospective analysis of all patients at Austin Health surgically managed for non-metastatic invasive breast carcinoma between 2013 and 2019 was conducted. Time to surgery (TTS) was defined as time between informed diagnosis and cancer surgery. The patients were grouped into TTS groups of ≤30 days and >30 days. Kaplan-Meier survival analysis and Cox proportional hazards regression model were used to evaluate the impact of time interval between diagnosis and surgery.

resultsSeven hundred and thirty-one patients were included in our TTS analysis, only half of this cohort received surgery within the recommended 30 days. Many of the factors identified to be associated with increased TTS are the key to optimal management. Median follow-up for the cohort was 30 months. Between wait groups of ≤30 and >30 days, there were no significant association found between TTS and survival outcomes for DFS (HR 1.20 95% CI 0.56-2.60) and OS (HR 1.58 95% CI 0.82-3.03).

conclusionBreast cancer management involves complex factors that significantly increase TTS. Surgery within 30 days of diagnosis is not associated with improved DFS and OS. Outcomes from this study support a revision of current recommendations for TTS in non-metastatic breast cancer care.

Indexed as

MastectomyTime-to-TreatmentAdultAgedAged, 80 and overAustraliaBreast NeoplasmsCohort StudiesFemaleHumansKaplan-Meier EstimateMiddle AgedProportional Hazards ModelsRetrospective StudiesSurvival Analysis

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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.