Evidence map›Paper›PMID 32912996›Full record

SynthesisBMJ open2020

COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment.

Ka Siu Fan, Shahi Abdul Ghani, Nikolaos Machairas, Lorenzo Lenti, Ka Hay Fan, Daniel Richardson, Aneya Scott, Dimitri Aristotle Raptis

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 5 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

43 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Online Information on Lymphedema: Systematic Review of the Quality of Online Patient Resources.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Pooled it
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  6. Article
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  10. Observational
  11. Patient education resources for oral mucositis: a google search and ChatGPT analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Article
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  13. Observational
  14. Article
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  19. When Patients Go to "Dr. Google" Before They Go to the Emergency Department.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
    Observational
  20. 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.

Ka Siu Fan *St George's University Hospitals NHS Foundation Trust, London, UK.ORCID 0000-0002-0861-1944
Shahi Abdul Ghani *St George's University Hospitals NHS Foundation Trust, London, UK.
Nikolaos MachairasDepartment of HPB Surgery and Liver Transplant, Royal Free Hospital, London, UK.
Lorenzo LentiSt George's University Hospitals NHS Foundation Trust, London, UK.
Ka Hay FanImperial College London, London, UK.
Daniel RichardsonSt George's University Hospitals NHS Foundation Trust, London, UK.
Aneya ScottSt George's University Hospitals NHS Foundation Trust, London, UK.
Dimitri Aristotle RaptisDepartment of HPB Surgery and Liver Transplant, Royal Free Hospital, London, UK Dimitri.Raptis@NHS.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the quality of information regarding the prevention and treatment of COVID-19 available to the general public from all countries.

designSystematic analysis using the 'Ensuring Quality Information for Patients' (EQIP) Tool (score 0-36), DATA SOURCES: Twelve popular search terms, including 'Coronavirus', 'COVID-19 19', 'Wuhan virus', 'How to treat coronavirus' and 'COVID-19 19 Prevention' were identified by 'Google AdWords' and 'Google Trends'. Unique links from the first 10 pages for each search term were identified and evaluated on its quality of information. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: All websites written in the English language, and provides information on prevention or treatment of COVID-19 intended for the general public were considered eligible. Any websites intended for professionals, or specific isolated populations, such as students from one particular school, were excluded, as well as websites with only video content, marketing content, daily caseload update or news dashboard pages with no health information.

resultsOf the 1275 identified websites, 321 (25%) were eligible for analysis. The overall EQIP,

conclusionThis comprehensive assessment of online COVID-19 information using EQIP,

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralPublic Health InformaticsBetacoronavirusConsumer Health InformationCOVID-19Data AccuracyHumansInternetNeeds AssessmentSARS-CoV-2health informaticsjournalism (see medical journalism)world wide web technology

Identifiers

PMID32912996
PMCPMC7485261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.