Evidence map›Paper›PMID 30956917›Full record

ArticleCureus2019

Is There Seasonality in Hypothyroidism? A Google Trends Pilot Study.

Ioannis Ilias, Maria Alexiou, Georgios Meristoudis

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 10 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

3 authors at 3 institutions in 2 countries.

Ioannis IliasInternal Medicine, Elena Venizelou Hospital, Athens, GRC.
Maria AlexiouInternal Medicine, Kent and Canterbury Hospital, Canterbury, GBR.
Georgios MeristoudisNuclear Medicine, Hippokration Hospital, Thessaloniki, GRC.
General-Maternity District Hospital Helena Venizelou · GRHippocration General Hospital · GRKent and Canterbury Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere may be seasonality in thyroid diseases and internet search data may provide information on disease patterns. In this study we used data from internet searches on hypothyroidism to assess seasonality in this disease.

methodsWe collected worldwide data, as well as data for countries in the southern hemisphere (Brazil, South Africa, and Australia), covering 15 years, from Google Trends with the search term "hypothyroidism+thyroiditis (the commonest cause of hypothyroidism)" and "fatigue+weakness (the commonest symptoms of hypothyroidism)". We looked for periodicity in relevant internet searches by calculating autocorrelations; we also looked at the cross-correlation of internet searches for "hypothyroidism+thyroiditis" and "fatigue+weakness" and we compared the results by season with the Kruskall-Wallis test.

resultsThere was periodicity in the relevant internet searches and strong cross-correlations between internet searches for "hypothyroidism+thyroiditis" and "fatigue+weakness" worldwide and for South Africa and Australia. In both the northern and the southern hemispheres there were significantly more hypothyroidism-related internet searches during spring (p<0.05).

conclusionHypothyroidism was more popular in internet searches at springtime in the northern and the southern hemispheres. Thus, although this analysis is coarse, it seems that some seasonality can be inferred on hypothyroidism, taking into account the limitations of our approach.

Indexed as

data collectionepidemiologyhypothyroidismmedical informaticsmethodstrends

Identifiers

PMID30956917
PMCPMC6436672
OpenAlexW2913399669

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.