Evidence map›Paper›PMID 39196907›Full record

ArticlePloS one2024

Cross-sectional analysis of national testosterone prescribing through prescription drug monitoring programs, 2018-2022.

Scott Selinger, Aneesh Thallapureddy

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

2 authors.

Scott SelingerDepartment of Internal Medicine, Division of General Internal Medicine, University of Texas at Austin Dell Medical School, Austin, Texas, United States of America.ORCID 0000-0001-5336-3778
Aneesh ThallapureddyUniversity of Texas at Austin Dell Medical School, Austin, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor two decades preceding the COVID-19 pandemic, testosterone therapy (TT) became more prevalent in the US. Given the forced shift in practice patterns and healthcare accessibility during the pandemic, it was unclear how TT utilization would change.

objectiveTo assess the change in testosterone prescriptions nationally.

designCross-sectional study. DATA SOURCES: State prescription drug monitoring program data between 2018 and 2022.

participantsAll individuals filling testosterone prescriptions in participating states. MEASUREMENTS: Unique people filling testosterone prescriptions annually, demographic information on gender and age as available.

resultsIn 2022 there was a 27% relative increase of subjects treated with TT (+439,659 cases compared with 2018). The increase was more evident in the pandemic period with a rise in prevalence most notable for people 45-54 (114,114 people, 35% increase) and 35-44 (97,263 people, 58% increase). All regions except the Midwest increased the total population treated, led by the South (52%) followed by the West (28%) and Northeast (23%). Available data indicated men accounted for most patients treated in all age groups except under 24 years. LIMITATIONS: Study population limited to those in participating states with no diagnostic information and limited demographics available.

conclusionBetween 2018 and 2022, and primarily after the start of the pandemic in 2020, nationally there was a substantial increase in the number of people using TT. The largest increases occurred in a younger demographic, primarily men, than have previously been reported or studied. These results echo other findings showing increased use of controlled substances during the pandemic period and warrant further study regarding the factors behind this rise.

Indexed as

COVID-19Prescription Drug Monitoring ProgramsTestosteroneAdolescentAdultAgedCross-Sectional StudiesDrug PrescriptionsFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'SARS-CoV-2United StatesYoung AdultTestosterone

Identifiers

PMID39196907
PMCPMC11355536

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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.