Evidence map›Paper›PMID 36792274›Full record

ReviewSeminars in ultrasound, CT, and MR2023

The Current State of Timeliness in the Breast Cancer Diagnosis Journey: Abnormal Screening to Biopsy.

Gopal R Vijayaraghavan, Isabelle M Guembou, Srinivasan Vedantham

Abstract readReview
In one paragraph

Review in Seminars in ultrasound, CT, and MR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Factors Associated With Timeliness and Equity of Access to Outpatient MRI Examinations.Journal of the American College of Radiology : JACR · 2024
    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

3 authors.

Gopal R VijayaraghavanDepartment of Radiology, University of Massachusetts Chan School of Medicine, UMass Memorial Healthcare, Worcester, MA. Electronic address: Gopal.vijayaraghavan@umassmemorial.org.
Isabelle M GuembouCITC (Center for Innovation and Transformational Change), UMass Memorial Healthcare, Worcester, MA.
Srinivasan VedanthamDepartment of Medical Imaging, University of Arizona, Tucson, AZ.

Funding

Towards screening with high-resolution, low-dose, dedicated breast CTR01CA199044 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SRINIVASAN VEDANTHAM · 2016 to 2026
$6.1M
Upright, Low-dose, High-resolution, 3D Breast CTR01CA241709 · NCI · UNIVERSITY OF ARIZONA · PI VEDANTHAM, SRINIVASAN · 2019 to 2023
$3.6M
NCI NIH HHS R01 CA199044NCI NIH HHS R01 CA241709
6 · The paper itself

Abstract

There are several steps involved in a breast cancer diagnosis, starting from the initial abnormal screening mammogram. Each step from the additional imaging to a biopsy provokes anxiety. Timely attention to these appointments will not only help allay anxiety but also provide better care. While breast facilities routinely audit their performance, currently timeliness is not one of the audit parameters. The role of timeliness as a robust quality tool is gaining attention. In this study, we review the timeline of care at our facility over a 1-year period (October 2021- September 2022) and compare them with those reported by National Quality Measures for Breast Centers (NQMBC). Race, ethnicity, location, and type of facility affect the outcome of care and contribute to delays in providing care. In this manuscript, we outline some of the major factors. Societal guidelines outlining some metrics for timeliness may be a useful first step.

Indexed as

Breast NeoplasmsBiopsyBreastEarly Detection of CancerFemaleHumansMammographyaudit.breast cancermammographyquality

Identifiers

PMID36792274
PMCPMC12103741

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.