Evidence map›Paper›PMID 32537322›Full record

ArticlePlastic and reconstructive surgery. Global open2020

Establishing a Telemedicine Program for Breast Reconstruction.

Erica Y Xue, Carrie K Chu, Sebastian Winocour, Nicholas Cen, Edward Reece

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Plastic Surgery in the Gulf Cooperation Council Countries: Role of Telemedicine.Plastic and reconstructive surgery. Global open · 2022
    Article
  6. 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

5 authors.

Erica Y XueDivision of Plastic and Reconstructive Surgery, Baylor College of Medicine, Houston, Tex.
Carrie K ChuDepartment of Plastic and Reconstructive Surgery, University of Texas MD Anderson Cancer Center, Houston, Tex.
Sebastian WinocourDivision of Plastic and Reconstructive Surgery, Baylor College of Medicine, Houston, Tex.
Nicholas CenDivision of Plastic and Reconstructive Surgery, Baylor College of Medicine, Houston, Tex.
Edward ReeceDivision of Plastic and Reconstructive Surgery, Baylor College of Medicine, Houston, Tex.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine is an application of modern technology that allows for the remote delivery of healthcare services to diagnose and treat patients. The potential patient benefits of such a program include added convenience, lowered costs, and improved access. From a practical standpoint, establishing a telemedicine program may seem daunting to the plastic surgeon; success requires not only patient and provider adoption, but also integration of new technology. Despite these challenges, breast reconstruction patients are among those who stand to benefit most from telemedicine technology, as this patient population remains vulnerable to limitations to access following an emotion-provoking breast cancer diagnosis. Geographical limitation, especially in rural areas, represents a major barrier to access. To date, the application of telemedicine in caring for breast reconstruction patients has not been described in the literature. In this article, we describe the protocol developed and implemented by our academic plastic surgery group to care for new breast reconstruction candidates and discuss the role of telemedicine in improved access to breast reconstruction care.

Identifiers

PMID32537322
PMCPMC7253238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.