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Record W4413133034 · doi:10.37432/jieph-d-25-00099

Impact of Dolutegravir-based regimens on patient satisfaction and quality of life among people living with HIV: A systematic review and meta-analysis protocol

2025· review· en· W4413133034 on OpenAlexaboutno aff
Mustapha Muhammed Abubakar, Abdurrahman Murtala Bello, Abdulmuminu Isah, Ruth Jeminiwa, Silas Usen Joel, Kenechukwu Hilary Uboh, Henry Chiagoziem Iremeka, Chuwuemeka Nwachuya, SA Musa, Balogun Olufunke Abosede, Blessing Onyinye Ukoha-Kalu

Bibliographic record

VenueJournal of Interventional Epidemiology and Public Health · 2025
Typereview
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsDolutegravirMeta-analysisMedicineQuality of life (healthcare)PopulationHuman immunodeficiency virus (HIV)MEDLINEAntiretroviral therapyFamily medicineViral loadInternal medicineNursingEnvironmental health

Abstract

fetched live from OpenAlex

Introduction: The use of antiretroviral therapy (ART) in HIV management has closed the gap in life expectancies between Persons Living with HIV (PLHIV) and the general populace, leading to longevity among PLHIVs. However, increased life expectancies or longevity do not translate to better treatment satisfaction and Quality of Life (QoL). Available literature indicates a divergence in findings with regards the effect of ART on patient satisfaction levels and QoL. With dolutegravir (DTG)-based regimens currently the mainstay of HIV management, there is the need to ascertain effects of DTG on patient satisfaction and QoL among PLHIV. Thus, the aim of this study is to review the existing literature and pool the patient satisfaction levels and QoL among PLHIV exposed to DTG. Methods: This is a systematic review and meta-analysis. Study outcomes will be the mean values of the QoL, as well as the proportions, odds ratios and risk ratios of patient satisfaction with DTG. Searches will be conducted on PubMed and Scopus databases, with search period limited to the last 10 years. Studies that reported on the effect of DTG on our outcomes of interest will be included. For studies where the study population was exposed to other integrase strand transfer inhibitors or other ART classes, we will collect data separately for the outcomes of those exposed to DTG and those of the comparator. Also, included studies will be peer-reviewed articles that utilized standardized assessment tools to evaluate QoL among PLHIV exposed to DTG. Conversely, this review will exclude case studies, commentaries, editorials, and all forms of reviews. The study will employ the Preferred Reporting Items for Systematic Review and Meta-analysis checklist. Data extraction and screening will be conducted by 4 independent reviewers. Quality assessment will be conducted using the Newcastle Ottawa Scale. Further, narrative synthesis will be conducted as well as a random effect meta-analysis to pool estimates of patient satisfaction and QoL among PLHIV. All statistical analysis will be performed using the R Studio v 4.2.1. Results: Findings from this study will be presented at relevant theme-specific conferences and published in a peer-reviewed journal. Conclusion: Given the global adoption of DTG-based regimens as the mainstay of current treatment guidelines, a comprehensive systematic review focusing on the effects of DTG on patient satisfaction and QoL is required. This study will represent the first study to present the estimates of patient satisfaction levels and QoL among PLHIVs exposed to DTG. Our review will provide a background for clinical decision-making and patient-centred policies. Protocol Registration: This systematic review and meta-analysis protocol was registered on 6 February 2025 on PROSPERO with the identification number, CRD42025643301.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.281
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0110.004
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.247
GPT teacher head0.524
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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