Evidence map›Paper›PMID 36272827›Full record

ArticleAmerican journal of surgery2023

Utilization of a rapid diagnostic centre during the COVID-19 pandemic reduced diagnostic delays in breast cancer.

Gary Ko, Sangita Sequeira, David R McCready, Sharmy Sarvanantham, Nancy Li, Shelley Westergard, Vrutika Prajapati, Vivianne Freitas, Tulin D Cil

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Gary Ko-Department of Surgery, University of Toronto, Toronto, ON, Canada.
Sangita Sequeira-Department of Surgery, University of Toronto, Toronto, ON, Canada.
David R McCready-Department of Surgery, University of Toronto, Toronto, ON, Canada; -Division of Surgical Oncology, University Health Network, Toronto, ON, Canada.
Sharmy Sarvanantham-Department of Surgery, University of Toronto, Toronto, ON, Canada.
Nancy Li-Department of Surgery, University of Toronto, Toronto, ON, Canada.
Shelley Westergard-Department of Surgery, University of Toronto, Toronto, ON, Canada.
Vrutika Prajapati-Department of Surgery, University of Toronto, Toronto, ON, Canada.
Vivianne Freitas-Joint Department of Medical Imaging, Breast Division, University Health Network, Toronto, ON, Canada.
Tulin D Cil-Department of Surgery, University of Toronto, Toronto, ON, Canada; -Division of Surgical Oncology, University Health Network, Toronto, ON, Canada. Electronic address: Tulin.Cil@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to breast imaging was restricted during the first wave of the COVID-19 pandemic. We assessed the impact of healthcare restrictions on the Gattuso Rapid Diagnostic Centre (GRDC) at the Princess Margaret Cancer Centre.

methodsA retrospective review of patients seen at the GRDC between March 12 - August 31, 2020 and the corresponding period from 2019 was performed.

resultsThere was an 18.6% decrease in patients seen at the GRDC (n = 429 in 2020 vs. 527 in 2019). Time from the first abnormal breast image to diagnosis was significantly shorter (17.4 days [IQR 13.0-21.8] in 2020 vs. 25.9 days [21.0-30.8] in 2019; p = 0.020) with no appreciable difference in time from diagnosis to consult or from consult to surgery.

conclusionThe GRDC enabled patients with concerning breast symptoms to access breast imaging, which helped to ensure timely treatment during the first wave of the pandemic.

Indexed as

Breast NeoplasmsCOVID-19Delayed DiagnosisFemaleHumansPandemicsRapid Diagnostic Tests

Identifiers

PMID36272827
PMCPMC9527182

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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.