Evidence map›Paper›PMID 36210964›Full record

ArticleObesity medicine2021

Increased global online interest in diabetes during the COVID-19 pandemic: An infodemiology study.

Ourlad Alzeus G Tantengco

Open access · greenAbstract read
In one paragraph

Article in Obesity medicine, 2021. 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
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Ourlad Alzeus G TantengcoCollege of Medicine, University of the Philippines Manila, Pedro Gil Street, Ermita, Manila, Philippines.
University of the Philippines Manila · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The public utilize the internet as their main source for health-related information during the pandemic. This was shown by the increase in global online searches related to health during the pandemic. In this study, the dynamics of public interest and awareness in diabetes before and during the pandemic was investigated and the possible factors associated with online interest in diabetes were determined. Methods: Global online search interest for diabetes was measured using Google Trends™ database. The search terms "diabetes", "type 1 diabetes", "type 2 diabetes", and "gestational diabetes" were used. The results were limited to the years 2010 until 2020 from all countries. Correlation between country-specific characteristics and search volume index (SVI) was determined using Spearman's rank-order correlation. Results: This study showed a steady increase in global online interest in diabetes during the last decade. SVI for all the diabetes search terms included in this study increased from 2019 to 2020. People searching for the term "diabetes" also searched for the different types of diabetes, causes, signs and symptoms, diagnostic tests, and treatments for diabetes. The increasing online interest in diabetes was positively correlated with percentage of individuals using the internet and the number of physicians in a country. Conclusions: The results of this study showed an increasing global online interest in diabetes during the last decade. This increased global interest in diabetes should be maximized by medical doctors and public health officials in providing evidence-based information regarding prevention and control of diabetes in the internet.

Indexed as

CoronavirusDiabetes mellitusGDP, gross domestic productHealth seeking behaviorInfodemiologyPandemicSVI, search volume index

Identifiers

PMID36210964
PMCPMC9525567
OpenAlexW3212095156

What OpenQuestion holds

Textmetadata
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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.