Evidence map›Paper›PMID 29207825›Full record

ArticleJournal of clinical and diagnostic research : JCDR2017

Global Search Trends of Oral Problems using Google Trends from 2004 to 2016: An Exploratory Analysis.

Basavaraj Patthi, Jishnu Krishna Kumar, Ashish Singla, Ritu Gupta, Monika Prasad, Irfan Ali, Kuldeep Dhama, Lav Kumar Niraj

Abstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Expression of Minichromosome Maintenance Protein 2 (MCM2) in Oral Epithelial Dysplasia and Oral Squamous Cell Carcinoma: A Systematic Review.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023
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  8. Analysis of the Filipinos' Interest in Searching Online for Oral Cancer.Asian Pacific journal of cancer prevention : APJCP · 2020
    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.

Basavaraj PatthiProfessor and Head, Department of Public Health Dentistry, Divya Jyoti College of Dental Sciences and Research, Modinagar, Uttar Pradesh, India.
Jishnu Krishna KumarTutor, Department of Public Health Dentistry, Divya Jyoti College of Dental Sciences and Research, Modinagar, Uttar Pradesh, India.
Ashish SinglaReader, Department of Public Health Dentistry, Divya Jyoti College of Dental Sciences and Research, Modinagar, Uttar Pradesh, India.
Ritu GuptaSenior Lecturer, Department of Public Health Dentistry, Divya Jyoti College of Dental Sciences and Research, Modinagar, Uttar Pradesh, India.
Monika PrasadTutor, Department of Public Health Dentistry, Divya Jyoti College of Dental Sciences and Research, Modinagar, Uttar Pradesh, India.
Irfan AliTutor, Department of Public Health Dentistry, Divya Jyoti College of Dental Sciences and Research, Modinagar, Uttar Pradesh, India.
Kuldeep DhamaTutor, Department of Public Health Dentistry, Divya Jyoti College of Dental Sciences and Research, Modinagar, Uttar Pradesh, India.
Lav Kumar NirajTutor, Department of Public Health Dentistry, Divya Jyoti College of Dental Sciences and Research, Modinagar, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOral diseases are pandemic cause of morbidity with widespread geographic distribution. This technology based era has brought about easy knowledge transfer than traditional dependency on information obtained from family doctors. Hence, harvesting this system of trends can aid in oral disease quantification.

aimTo conduct an exploratory analysis of the changes in internet search volumes of oral diseases by using Google Trends MATERIALS AND

methodsGT

resultsThe search volume measured over the time span noted the term "Dental caries" to be the most searched in Japan, "Gingivitis" in Jordan, "Oral Cancer" in Taiwan, "No Teeth" in Australia, "HIV symptoms" in Zimbabwe, "Broken Teeth" in United Kingdom, "Cleft palate" in Philippines, "Toothache" in Indonesia and the comparison of top five searched terms provided the "Gingivitis" with highest search volume.

conclusionThe results from the present study offers an insight into a competent tool that can analyse and compare oral diseases over time. The trend research platform can be used on emerging diseases and their drift in geographic population with great acumen. This tool can be utilized in forecasting, modulating marketing strategies and planning disability limitation techniques.

Indexed as

DentalInternetPandemicResearch

Identifiers

PMID29207825
PMCPMC5713847

What OpenQuestion holds

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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.