Evidence map›Paper›PMID 33519029›Full record

ArticleMedicine2020

[Medical applications of social networks. Specific aspects of the COVID-19 pandemic].

M A Álvarez-Mon, A Rodríguez-Quiroga, L de Anta, J Quintero

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

M A Álvarez-MonServicio de Psiquiatría y Salud Mental, Hospital Universitario Infanta Leonor, Madrid, España.
A Rodríguez-QuirogaServicio de Psiquiatría y Salud Mental, Hospital Universitario Infanta Leonor, Madrid, España.
L de AntaServicio de Psiquiatría y Salud Mental, Hospital Universitario Infanta Leonor, Madrid, España.
J QuinteroServicio de Psiquiatría y Salud Mental, Hospital Universitario Infanta Leonor, Madrid, España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For years, social networks have been incorporated into the day-to-day of the majority of the population. In this context, a new area of knowledge in medicine has been developed: infodemiology. It is defined as the evaluation, with the objective of improving public health, of health-related information that users upload to the network. In addition, social networks offer many possibilities for conducting public health campaigns, accessing patients, or carrying out treatment interventions.

Indexed as

Digital phenotypingInfodemiologyPublic healthSocial networksTwitter

Identifiers

PMID33519029
PMCPMC7833728

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.