Article in Access microbiology, 2024. 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.
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
14 authors.
Stephen KanyereziDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, P.O Box 7072 Kampala, Uganda.ORCID 0000-0002-2439-939X
Ivan SserwaddaDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, P.O Box 7072 Kampala, Uganda.ORCID 0000-0001-7785-7297
Aloysious SsemagandaNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.ORCID 0000-0003-4377-5220
Julius SeruyangeNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.
Alisen AyitewalaNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.ORCID 0000-0001-6173-4006
Hellen Rosette OundoNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.ORCID 0009-0006-6466-4641
Wilson TenywaNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.
Brian A KagurusiNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.ORCID 0000-0001-8615-6732
Godwin TusabeNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.ORCID 0009-0009-5294-5448
Stacy WereNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.
Isaac SsewanyanaNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.ORCID 0000-0001-8605-2001
Susan NabaddaNational Health Laboratories and Diagnostics Services, Central Public Health Laboratories, Ministry of Health, P.O Box 7272 Kampala, Uganda.ORCID 0000-0003-2357-2530
Maria Magdalene NamagandaDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, P.O Box 7072 Kampala, Uganda.ORCID 0000-0003-1913-5506
Gerald MboowaDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, P.O Box 7072 Kampala, Uganda.ORCID 0000-0001-8445-9414
Funding
Makerere University Data Science Research Training to Strengthen Evidence-Based Health Innovation, Intervention and Policy (MakDARTA)U2RTW012116 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI William Checkley, Moses Lutaakome Joloba · 2021 to 2026
$2.0M
NURTURING GENOMICS AND BIOINFORMATICS RESEARCH CAPACITY IN AFRICA (BRecA)U2RTW010672 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI JJINGO, DAUDI, KATEETE, DAVID PATRICK · 2017 to 2022
$1.3M
FIC NIH HHS U2R TW010672FIC NIH HHS U2R TW012116
6 · The paper itself
Abstract
The global prevalence of resistance to antiviral drugs combined with antiretroviral therapy (cART) emphasizes the need for continuous monitoring to better understand the dynamics of drug-resistant mutations to guide treatment optimization and patient management as well as check the spread of resistant viral strains. We have recently integrated next-generation sequencing (NGS) into routine HIV drug resistance (HIVDR) monitoring, with key challenges in the bioinformatic analysis and interpretation of the complex data generated, while ensuring data security and privacy for patient information. To address these challenges, here we present HIV-DRIVES (HIV Drug Resistance Identification, Variant Evaluation, and Surveillance), an NGS-HIVDR bioinformatics pipeline that has been developed and validated using Illumina short reads, FASTA, and Sanger
Indexed as
bioinformaticsHIV drug resistancemonitoringmutationsnext-generation sequencing
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.
HIV-DRIVES: HIV drug resistance identification, variant evaluation, and surveillance pipeline. · full record | OpenQuestion