Evidence map›Paper›PMID 33568155›Full record

ArticleHealth research policy and systems2021

A call for better understanding of social media in surveillance and management of noncommunicable diseases.

Chi-Wai Lui, Zaimin Wang, Ning Wang, Gabriel Milinovich, Hang Ding, Kerrie Mengersen, Hilary Bambrick, Wenbiao Hu

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Health research policy and systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Current status and perspectives in environmental oncology.Chronic diseases and translational medicine · 2024
    Article
  3. 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

8 authors.

Chi-Wai LuiSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.
Zaimin WangCentre for Chronic Disease, School of Clinical Medicine, The University of Queensland, Brisbane, QLD, Australia.
Ning WangSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Gabriel MilinovichSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Hang DingRECOVER Injury Research Centre, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, QLD, 4059, Australia.
Kerrie MengersenARC Centre of Excellence for the Mathematical and Statistical Frontiers, School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Hilary BambrickSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Wenbiao HuSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia. w2.hu@qut.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using social media for health purposes has attracted much attention over the past decade. Given the challenges of population ageing and changes in national health profile and disease patterns following the epidemiologic transition, researchers and policy-makers should pay attention to the potential of social media in chronic disease surveillance, management and support. This commentary overviews the evidence base for this inquiry and outlines the key challenges to research laying ahead. The authors provide concrete suggestions and recommendations for developing a research agenda to guide future investigation and action on this topic.

Indexed as

Noncommunicable DiseasesSocial MediaAdministrative PersonnelAgingHumansManagementNoncommunicable diseasesSocial mediaSurveillance

Identifiers

PMID33568155
PMCPMC7876784

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.