Evidence map›Paper›PMID 35187196›Full record

ArticleOpen forum infectious diseases2022

Costs and Prescribing Patterns of Anthelmintics in the United States Military: A Retrospective Analysis.

Alyssa R Lindrose, Jamie A Fraser, Patrick W Hickey, Edward Mitre

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 15% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Alyssa R LindroseDepartment of Microbiology & Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-0952-1975
Jamie A FraserThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA.
Patrick W HickeyDepartment of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Edward MitreDepartment of Microbiology & Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-7506-3266
Henry M. Jackson Foundation · USUniformed Services University of the Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent price increases in medications used to treat helminth infections have had demonstrated impacts on Medicaid and immigrant patient populations. Helminth infections are common within the US military; however, anthelmintic prescribing patterns and costs have not yet been investigated in this patient population.

methodsWe conducted a retrospective analysis of pharmaceutical data from the Military Health System Data Repository between fiscal years 2012 and 2019. Prescription information, including costs and demographics, were abstracted for all anthelmintic medications as well as associated helminth diagnostic codes within 30 days of the prescription dispensing date.

resultsOn average, there were 10

conclusionsPrice increases in anthelmintic medications have significantly impacted the costs borne by the US government for treating parasitic infections. There are a substantial number of anthelmintic prescriptions in the US military health care system annually, suggesting a higher number of helminth infections than previously thought.

Indexed as

albendazoleanthelmintic medicationsdrug pricinghelminth infectionspinworm infection

Identifiers

PMID35187196
PMCPMC8849283
OpenAlexW4212936520

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.