Evidence map›Paper›PMID 37390076›Full record

ArticlePloS one2023

Modeling the future of HIV in Turkey: Cost-effectiveness analysis of improving testing and diagnosis.

Emine Yaylali, Zikriye Melisa Erdogan, Fethi Calisir, Deniz Gokengin, Volkan Korten, Fehmi Tabak, Yesim Tasova, Serhat Unal, Berna Ozelgun, Tahsin Gokcem Ozcagli and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 17 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

11 authors at 6 institutions in 1 country.

Emine YaylaliFaculty of Management, Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey.ORCID 0000-0002-6707-9521
Zikriye Melisa ErdoganFaculty of Management, Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey.
Fethi CalisirFaculty of Management, Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey.
Deniz GokenginFaculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Ege University, Izmir, Turkey.
Volkan KortenFaculty of Medicine, Department of Infectious Diseases, Marmara University, Istanbul, Turkey.
Fehmi TabakFaculty of Medicine, Department of Infectious Diseases, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Yesim TasovaFaculty of Medicine, Department of Infectious Diseases, Cukurova University, Adana, Turkey.
Serhat UnalFaculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Hacettepe University, Ankara, Turkey.
Berna OzelgunGilead Sciences, Istanbul, Turkey.
Tahsin Gokcem OzcagliGilead Sciences, Istanbul, Turkey.
Toros SahinGilead Sciences, Istanbul, Turkey.
Istanbul Technical University · TRCukurova University · TREge University · TRHacettepe University · TRIstanbul University-Cerrahpaşa · TRMarmara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to determine HIV incidence and prevalence in Turkey and to estimate the cost-effectiveness of improving testing and diagnosis in the next 20 years.

backgroundHIV incidence in Turkey has been rapidly increasing in the last decade with a particularly high rate of infection for younger populations, which underscores the urgent need for a robust prevention program and improved testing capacity for HIV.

methodsWe developed a dynamic compartmental model of HIV transmission and progression among the Turkish population aged 15-64 and assessed the effect of improving testing and diagnosis. The model generated the number of new HIV cases by transmission risk and CD4 level, HIV diagnoses, HIV prevalence, continuum of care, the number of HIV-related deaths, and the expected number of infections prevented from 2020 to 2040. We also explored the cost impact of HIV and the cost-effectiveness of improving testing and diagnosis.

resultsUnder the base case scenario, the model estimated an HIV incidence of 13,462 cases in 2020, with 63% undiagnosed. The number of infections was estimated to increase by 27% by 2040, with HIV incidence in 2040 reaching 376,889 and HIV prevalence 2,414,965 cases. Improving testing and diagnosis to 50%, 70%, and 90%, would prevent 782,789, 2,059,399, and 2,336,564 infections-32%, 85%, and 97% reduction in 20 years, respectively. Improved testing and diagnosis would reduce spending between $1.8 and $8.8 billion.

conclusionsIn the case of no improvement in the current continuum of care, HIV incidence and prevalence will significantly increase over the next 20 years, placing a significant burden on the Turkish healthcare system. However, improving testing and diagnosis could substantially reduce the number of infections, ameliorating the public health and disease burden aspects.

Indexed as

Cost-Effectiveness AnalysisHIV InfectionsCost of IllnessEpidemiological ModelsHIV-2HumansTurkey

Identifiers

PMID37390076
PMCPMC10313051
OpenAlexW4382752640

What OpenQuestion holds

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LicenceCC BY
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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.