Evidence map›Paper›PMID 38551638›Full record

ArticleJournal of medical Internet research2024

Medical Misinformation in Polish on the World Wide Web During the COVID-19 Pandemic Period: Infodemiology Study.

Małgorzata Chlabicz, Aleksandra Nabożny, Jolanta Koszelew, Wojciech Łaguna, Anna Szpakowicz, Paweł Sowa, Wojciech Budny, Katarzyna Guziejko, Magdalena Róg-Makal, Sławomir Pancewicz and 7 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

17 authors.

Małgorzata ChlabiczDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, Białystok, Poland.ORCID 0000-0002-5113-5672
Aleksandra Nabożny *Department of Software Engineering, Gdańsk University of Technology, Gdańsk, Poland.ORCID 0000-0001-9534-142X
Jolanta KoszelewR&D Department, Science4People Limited Liability Company, Szczecin, Poland.ORCID 0000-0003-1315-8926
Wojciech ŁagunaFaculty of Computer Science, Bialystok University of Technology, Białystok, Poland.ORCID 0000-0001-5502-8463
Anna SzpakowiczDepartment of Cardiology, Medical University of Bialystok, Białystok, Poland.ORCID 0000-0002-4665-5227
Paweł SowaDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, Białystok, Poland.ORCID 0000-0002-8357-5816
Wojciech BudnyDepartment of Allergology and Internal Medicine, Medical University of Białystok, Białystok, Poland.ORCID 0000-0001-8053-6013
Katarzyna Guziejko2nd Department of Lung Diseases and Tuberculosis, Medical University of Białystok, Białystok, Poland.ORCID 0000-0002-2646-364X
Magdalena Róg-MakalDepartment of Invasive Cardiology, Medical University of Białystok, Białystok, Poland.ORCID 0009-0003-9523-0334
Sławomir PancewiczDepartment of Infectious Diseases and Neuroinfection, Medical University of Białystok, Białystok, Poland.ORCID 0000-0002-1176-9726
Maciej KondrusikDepartment of Infectious Diseases and Neuroinfection, Medical University of Białystok, Białystok, Poland.ORCID 0000-0002-6376-5604
Piotr CzuprynaDepartment of Infectious Diseases and Neuroinfection, Medical University of Białystok, Białystok, Poland.ORCID 0000-0002-0072-2180
Beata CudowskaDepartment of Pediatrics, Gastroenterology, Hepatology, Nutrition, Allergology and Pulmonology, Medical University of Bialystok, Białystok, Poland.ORCID 0000-0002-8062-5865
Dariusz LebensztejnDepartment of Pediatrics, Gastroenterology, Hepatology, Nutrition, Allergology and Pulmonology, Medical University of Bialystok, Białystok, Poland.ORCID 0000-0003-0062-5257
Anna Moniuszko-MalinowskaDepartment of Infectious Diseases and Neuroinfection, Medical University of Białystok, Białystok, Poland.ORCID 0000-0002-3994-8785
Adam Wierzbicki *Department of Computer Science, Polish-Japaneese Academy of Information Technology, Warsaw, Poland.ORCID 0000-0003-0075-7030
Karol A KamińskiDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, Białystok, Poland.ORCID 0000-0002-9465-2581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough researchers extensively study the rapid generation and spread of misinformation about the novel coronavirus during the pandemic, numerous other health-related topics are contaminating the internet with misinformation that have not received as much attention.

objectiveThis study aims to gauge the reach of the most popular medical content on the World Wide Web, extending beyond the confines of the pandemic. We conducted evaluations of subject matter and credibility for the years 2021 and 2022, following the principles of evidence-based medicine with assessments performed by experienced clinicians.

methodsWe used 274 keywords to conduct web page searches through the BuzzSumo Enterprise Application. These keywords were chosen based on medical topics derived from surveys administered to medical practitioners. The search parameters were confined to 2 distinct date ranges: (1) January 1, 2021, to December 31, 2021; (2) January 1, 2022, to December 31, 2022. Our searches were specifically limited to web pages in the Polish language and filtered by the specified date ranges. The analysis encompassed 161 web pages retrieved in 2021 and 105 retrieved in 2022. Each web page underwent scrutiny by a seasoned doctor to assess its credibility, aligning with evidence-based medicine standards. Furthermore, we gathered data on social media engagements associated with the web pages, considering platforms such as Facebook, Pinterest, Reddit, and Twitter.

resultsIn 2022, the prevalence of unreliable information related to COVID-19 saw a noteworthy decline compared to 2021. Specifically, the percentage of noncredible web pages discussing COVID-19 and general vaccinations decreased from 57% (43/76) to 24% (6/25) and 42% (10/25) to 30% (3/10), respectively. However, during the same period, there was a considerable uptick in the dissemination of untrustworthy content on social media pertaining to other medical topics. The percentage of noncredible web pages covering cholesterol, statins, and cardiology rose from 11% (3/28) to 26% (9/35) and from 18% (5/28) to 26% (6/23), respectively.

conclusionsEfforts undertaken during the COVID-19 pandemic to curb the dissemination of misinformation seem to have yielded positive results. Nevertheless, our analysis suggests that these interventions need to be consistently implemented across both established and emerging medical subjects. It appears that as interest in the pandemic waned, other topics gained prominence, essentially "filling the vacuum" and necessitating ongoing measures to address misinformation across a broader spectrum of health-related subjects.

Indexed as

COVID-19Social MediaCommunicationHumansInfodemiologyLanguagePandemicsPolandcredibilitycredibledisinformationEBMevidence based medicinefake newsfalsehealth informationinfodemicinfodemiologyinformation credibilityinformation qualityinfoveillancemisinformationonline health informationonline information

Identifiers

PMID38551638
PMCPMC10984342

What OpenQuestion holds

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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.