Evidence map›Paper›PMID 30324550›Full record

ReviewCurrent hematologic malignancy reports2018

Social Media and Hematopoietic Cell Transplantation: a Review of Online Resources and Communities.

Sagar S Patel, Navneet S Majhail

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Analysis of the influential factors of the emotional health of patients with cancer based on the structural equation model: the role of social media and emotional support.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  3. Article
  4. 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

2 authors.

Sagar S PatelBlood & Marrow Transplant Program, Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, 9500 Euclid Avenue, CA-60, Cleveland, OH, 44195, USA.
Navneet S MajhailBlood & Marrow Transplant Program, Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, 9500 Euclid Avenue, CA-60, Cleveland, OH, 44195, USA. majhain@ccf.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewSocial media has dramatically changed the access and exchange of information in healthcare and beyond. A variety of platforms and resources exist allowing blood and marrow transplant providers, researchers, and patients to interact. We review the adoption of social media by the transplantation community. RECENT

findingsSocial media allows on-demand access to the latest developments at national and international meetings, newly published research articles, facilitates networking with colleagues, participation in advocacy, and promoting available clinical trials. For the modern transplantation provider, the scope and ease of access to these benefits are unparalleled. Social media serves as a gateway to access relevant resources and communities for both providers and patients as it pertains to transplantation. We demonstrate the utilization and applications of social media among stem cell transplantation providers, patients, and other affiliated stakeholders. A variety of resources and communities have enhanced and increased the opportunities for engagement.

Indexed as

Education, DistanceHematopoietic Stem Cell TransplantationHumansSocial MediaTransplantation ConditioningHandlesHashtagsHematopoietic cell transplantationSocial mediaTwitter

Identifiers

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.