Evidence map›Paper›PMID 39673014›Full record

ReviewDrugs & aging2025

Individualizing Antiretroviral Therapy in the Older Patient.

Jennifer F Hoy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

1 author.

Jennifer F HoyDepartment of Infectious Diseases, Alfred Hospital and Monash University, 55 Commercial Rd, Melbourne, VIC, 3004, Australia. Jennifer.Hoy@monash.edu.ORCID 0000-0002-6948-7086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to widespread availability of potent and tolerable antiretroviral therapy, life expectancy of people with human immunodeficiency virus (HIV) has significantly increased. Consequently, the population of people with HIV are ageing, with over 50% over the age of 50 years, and it is expected that 25% will be over the age of 65 years by 2030. People diagnosed with HIV at older age tend to have more advanced disease, and may already be experiencing comorbidities that will influence the choice of initial antiretroviral treatment. Despite the well described changes in pharmacokinetics associated with ageing, there are a paucity of pharmacokinetics studies of contemporary antiretroviral drugs to help guide treatment for HIV. Irrespective of this, integrase inhibitor-based regimens have been shown to have similar treatment outcomes in older and young adults and are the preferred regimens for initiation and switching therapy in older adults. Non-acquired immunodeficiency syndrome (AIDS) comorbidities are more common in people with HIV owing to chronic immune activation and inflammation even in the presence of virological suppression on antiretroviral treatment. Screening and risk assessment of comorbidities is crucial as the presence of geriatric syndrome, frailty or neurocognitive impairment may impact medication adherence. Simplification of complex regimens, both antiretroviral and comorbidity treatments, is recommended to improve adherence. Regular medication reviews under the guidance of an experienced HIV pharmacist are recommended to identify adverse drug-drug interactions and inappropriate prescribing of drugs with potential adverse effects, such as falls risk. Antiretroviral stewardship has been shown to improve patient outcomes and quality of life for ageing people with HIV.

Indexed as

Anti-HIV AgentsAnti-Retroviral AgentsHIV InfectionsPrecision MedicineAgedHumansAnti-HIV AgentsAnti-Retroviral Agents

Identifiers

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.