Evidence map›Paper›PMID 30094011›Full record

ArticleClinical kidney journal2018

Study protocol: responding to the needs of patients with IgA nephropathy, a social media approach.

Matthew P M Graham-Brown, Cristina Vasilica, Tom Oates, Ben Light, Christian Clausner, Apostolos Antonacoloulos, Lydia Y J Chen, Paula Ormandy, Jonathan Barratt

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2018. 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
0.3field-weighted citation impact, top 34% of its field
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, 2 citations in OpenAlex.

  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 at 4 institutions in 1 country.

Matthew P M Graham-BrownJohn Walls Renal Unit, University Hospitals Leicester NHS Trust, Leicester, UK.
Cristina VasilicaSchool of Nursing and Midwifery, University of Salford, Salford, UK.
Tom OatesUCL Centre for Nephrology, London, UK.
Ben LightSchool of Nursing and Midwifery, University of Salford, Salford, UK.
Christian ClausnerSchool of Nursing and Midwifery, University of Salford, Salford, UK.
Apostolos AntonacoloulosSchool of Nursing and Midwifery, University of Salford, Salford, UK.
Lydia Y J ChenDataTellsLife DataIntelligence LLC, Zug, Switzerland.
Paula OrmandySchool of Nursing and Midwifery, University of Salford, Salford, UK.
Jonathan BarrattJohn Walls Renal Unit, University Hospitals Leicester NHS Trust, Leicester, UK.ORCID 0000-0002-9063-7229
University of Salford · GBLoughborough University · GBUniversity College London · GBUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIgA nephropathy is the most common cause of glomerulonephritis in the Western world and predominantly affects young adults. Demographically these patients are the biggest users of social media. With increasing numbers of patients turning to social media to seek information and support in dealing with their disease, analysis of social media streams is an attractive modern strategy for understanding and responding to unmet patient need.

methodsTo identify unmet patient need in this population, a framework analysis will be undertaken of prospectively acquired social media posts from patients with IgA nephropathy, acquired from a range of different social media platforms. In collaboration with patients and members of the clinical multidisciplinary team, resources will be created to bridge gaps in patient knowledge and education identified through social media analysis and returned to patients via social media channels and bespoke websites. Analysis of the impact of these resources will be undertaken with further social media analysis, surveys and focus groups.

conclusionsPatients with chronic diseases are increasingly using social networking channels to connect with others with similar diseases and to search for information to help them understand their condition. This project is a 21st century digital solution to understanding patient need and developing resources in partnership with patients, and has wide applicability as a future model for understanding patient needs in a variety of conditions.

Indexed as

IgA nephropathypatient needsocial media

Identifiers

PMID30094011
PMCPMC6070102
OpenAlexW2768929170

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.