Evidence map›Paper›PMID 36091940›Full record

ReviewCurrent breast cancer reports2022

Leveraging Electronic Health Records to Address Breast Cancer Disparities.

Solange Bayard, Genevieve Fasano, Rulla M Tamimi, Pilyung Stephen Oh

Abstract readReview
In one paragraph

Review in Current breast cancer reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Solange BayardDivision of Pediatric Surgery, Department of Surgery, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY 10065 USA.
Genevieve FasanoDivision of Pediatric Surgery, Department of Surgery, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY 10065 USA.
Rulla M TamimiDepartment of Population Health Sciences, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY 10065 USA.
Pilyung Stephen OhDivision of Pediatric Surgery, Department of Surgery, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY 10065 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose of Review: Breast cancer is the most commonly diagnosed cancer in women, and the leading cause of cancer death. However, racial and ethnic minority groups, as well as rural and underserved populations, face disparities that limit their access to specialty care for breast cancer. To address these disparities, health care providers can leverage an electronic health record (EHR). Recent Findings: Few studies have evaluated the potential benefits of using EHRs to address breast cancer disparities, and none of them outlines a standard approach for this effort. However, these studies outline that EHRs can be used to identify and notify patients at risk for breast cancer. These systems can also automate referrals and scheduling for screening and genetic testing, as well as recruit eligible patients for clinical trials. EHRs can also provide educational materials to reduce risks associated with modifiable risk factors, such as physical activity, obesity, and smoking. These systems can also support telemedicine visits and centralize inter-institutional communication to improve treatment adherence and the quality of care. Summary: EHRs have tremendous potential to increase accessibility and communication for patients with breast cancer by augmenting patient engagement, improving communication between patients and providers, and strengthening communication among providers. These efforts can reduce breast cancer disparities by increasing breast cancer screening, improving treatment adherence, expanding access to specialty care, and promoting risk-reducing habits among racial and ethnic minority groups and other underserved populations.

Indexed as

Breast cancerDisparitiesElectronic health recordPatient portal

Identifiers

PMID36091940
PMCPMC9440449

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.