Evidence map›Paper›PMID 30860016›Full record

ReviewThe American journal of tropical medicine and hygiene2019

Falsified and Substandard Drugs: Stopping the Pandemic.

Gaurvika M L Nayyar, Joel G Breman, Tim K Mackey, John P Clark, Mustapha Hajjou, Megan Littrell, James E Herrington

Abstract readReview
In one paragraph

Review in The American journal of tropical medicine and hygiene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Gaurvika M L NayyarRady Children's Hospital, San Diego, California.
Joel G BremanFogarty International Center, National Institutes of Health, Bethesda, Maryland.
Tim K MackeySchool of Medicine, University of California, San Diego, La Jolla, California.
John P ClarkPfizer Pharmaceuticals, Pfizer Global Security, New York, New York.
Mustapha HajjouGlobal Health Impact Programs, United States Pharmacopeial Convention, Rockville, Maryland.
Megan LittrellPublic Affairs, Program for Appropriate Technology in Health (PATH), Seattle, Washington.
James E HerringtonDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falsified and substandard medicines are associated with tens of thousands of deaths, mainly in young children in poor countries. Poor-quality drugs exact an annual economic toll of up to US$200 billion and contribute to the increasing peril of antimicrobial resistance. The WHO has emerged recently as the global leader in the battle against poor-quality drugs, and pharmaceutical companies have increased their roles in assuring the integrity of drug supply chains. Despite advances in drug quality surveillance and detection technology, more efforts are urgently required in research, policy, and field monitoring to halt the pandemic of bad drugs. In addition to strengthening international and national pharmaceutical governance, in part by national implementation of the Model Law on Medicines and Crime, a quantifiable Sustainable Development Goal target and an international convention to insure drug quality and safety are urgent priorities.

Indexed as

Global HealthLegislation, DrugCounterfeit DrugsDrug ResistanceHealth PolicySubstandard DrugsWorld Health OrganizationCounterfeit DrugsSubstandard Drugs

Identifiers

PMID30860016
PMCPMC6493938

What OpenQuestion holds

Textmetadata
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.