Evidence map›Paper›PMID 40594290›Full record

ArticleScientific reports2025

Systemic antiviral consumption in Kazakhstan.

Yuliya Semenova, Assiya Kussainova, Laura Kassym, Ainur Aimurziyeva, Daniil Semenov, Larissa Makalkina, Nurgul Aldiyarova, Andrey Avdeyev, Lisa Lim

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yuliya SemenovaSchool of Medicine, Nazarbayev University, 53 Kabanbay Batyr Ave, Astana, 010000, Kazakhstan. yuliya.semenova@nu.edu.kz.
Assiya KussainovaSchool of Medicine, Nazarbayev University, 53 Kabanbay Batyr Ave, Astana, 010000, Kazakhstan.
Laura KassymSchool of Medicine, Nazarbayev University, 53 Kabanbay Batyr Ave, Astana, 010000, Kazakhstan.
Ainur AimurziyevaSchool of Sciences and Humanities, Nazarbayev University, Astana, Kazakhstan.
Daniil SemenovAstana IT University, Astana, Kazakhstan.
Larissa MakalkinaAstana Medical University, Astana, Kazakhstan.
Nurgul AldiyarovaAstana Medical University, Astana, Kazakhstan.
Andrey AvdeyevMedical Center Hospital of the President's affairs Administration of the Republic of Kazakhstan, Astana, Kazakhstan.
Lisa LimGraduate School of Public Policy, Nazarbayev University, Astana, Kazakhstan.

Funding

Nazarbayev University 211123CRP1609
6 · The paper itself

Abstract

There is a lack of studies from low- and middle-income countries on systemic antiviral consumption (SAC). This study aims to fill this gap by providing a comprehensive analysis of nationwide antiviral consumption trends in Kazakhstan over a period of 7 years. The defined daily doses per 1000 inhabitants per day approach was utilized. Time series analyses were applied to analyze historical trends in SAC, evaluate the impact of the coronavirus disease-19 (COVID-19) pandemic, and make future projections until 2030. The total SAC increased over the study period, with an annual growth rate of 10.24%. Overall, the antivirals that exhibited the most substantial increases in consumption after 2020 were anti-herpes, anti-HBV/HCV, and anti-influenza agents. Predictive modeling indicated that future expenditures on antivirals will remain stable in the hospital sector, both in absolute terms and per million population (pmp) rates, but are likely to increase in the community sector, both in absolute terms and pmp rates. The study's findings have important implications for public health policy and resource allocation.

Indexed as

Antiviral AgentsCOVID-19HumansKazakhstanSARS-CoV-2Antiviral AgentsAntimicrobial stewardshipAntiviral agentsConsumptionKazakhstanTime series

Identifiers

PMID40594290
PMCPMC12217505

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.