Evidence map›Paper›PMID 37636239›Full record

ArticleThe journal of medicine access

Assessing Trustworthiness of Internet Pharmacies with an Internet Browser Extension.

Vraj Patel, Mason Lovett, Ryan Rybarczyk, John Hertig

Abstract read
In one paragraph

Article in The journal of medicine access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Vraj PatelButler University, Indianapolis, IN, USA.ORCID https://orcid.org/0000-0001-8239-8785
Mason LovettButler University, Indianapolis, IN, USA.
Ryan RybarczykButler University, Indianapolis, IN, USA.
John HertigButler University, Indianapolis, IN, USA.ORCID https://orcid.org/0000-0001-9869-2903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many people are turning to online pharmacies for medication purchases leading to a growing number of legal and illegal online pharmacies (IOPs). With a growing number of IOPs, consumers are more likely to receive substandard or falsified medications when purchasing medications online. Objectives: This study aims to identify the number of Design and Methods: We created an Internet browser extension compatible with different Internet browsers to quickly identify which search results are Results: A total of 131 key terms were used for the search. There was an average signal determining the number of Conclusion: The Internet browser extension will aid in making it easier to identify which search results are safe and which are not safe when searching to purchase medications online. This study has set the premise on expanding how to use an Internet pharmacy extension to combat IOPs, improve patient safety, and increase safe access to medications.

Indexed as

anticounterfeitfake medicinefalsified medicinehealth technologyIllegal online pharmacyInternet pharmacysubstandard medicine

Identifiers

PMID37636239
PMCPMC10449388

What OpenQuestion holds

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LicenceCC BY-NC
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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.