Evidence map›Paper›PMID 28531237›Full record

ArticlePloS one2017

Burden of neurological diseases in the US revealed by web searches.

Ricardo Baeza-Yates, Puneet Mohan Sangal, Pablo Villoslada

Abstract read
In one paragraph

Article in PloS one, 2017. 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. Burden of Neurological Diseases in the Philippines as Revealed by Web Searches: An Infodemiological Study.International journal of environmental research and public health · 2022
    Article
  3. Axonal and Myelin Neuroprotection by the Peptoid BN201 in Brain Inflammation.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019
    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

3 authors.

Ricardo Baeza-YatesUniversity Pompeu Fabra, Barcelona, Spain.
Puneet Mohan SangalAmazon, Seattle, Washington, United States of America.
Pablo VillosladaUniversity of California of San Francisco, San Francisco, United States of America.ORCID http://orcid.org/0000-0002-8735-6119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalyzing the disease-related web searches of Internet users provides insight into the interests of the general population as well as the healthcare industry, which can be used to shape health care policies.

methodsWe analyzed the searches related to neurological diseases and drugs used in neurology using the most popular search engines in the US, Google and Bing/Yahoo.

resultsWe found that the most frequently searched diseases were common diseases such as dementia or Attention Deficit/Hyperactivity Disorder (ADHD), as well as medium frequency diseases with high social impact such as Parkinson's disease, MS and ALS. The most frequently searched CNS drugs were generic drugs used for pain, followed by sleep disorders, dementia, ADHD, stroke and Parkinson's disease. Regarding the interests of the healthcare industry, ADHD, Alzheimer's disease, MS, ALS, meningitis, and hypersomnia received the higher advertising bids for neurological diseases, while painkillers and drugs for neuropathic pain, drugs for dementia or insomnia, and triptans had the highest advertising bidding prices.

conclusionsWeb searches reflect the interest of people and the healthcare industry, and are based either on the frequency or social impact of the disease.

Indexed as

Drug Information ServicesDrugs, GenericHumansInformation Storage and RetrievalInternetMedical InformaticsNervous System DiseasesSearch EngineDrugs, Generic

Identifiers

PMID28531237
PMCPMC5439713

What OpenQuestion holds

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LicenceCC BY
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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.