CONTEMPORARY CHEST RADIOGRAPHIC MANIFESTATIONS OF PULMONARY TUBERCULOSIS INFECTION WITH HIV/AIDS COINFECTION : A SYSTEMATIC REVIEW OF RANDOMIZED CONTROLLED TRIALS AND PRIMARY STUDIES
The Indonesian Journal of General Medicine·
- DOI
- 10.70070/msqq9n43
- PMID
- —
- PMCID
- —
- OpenAlex
- W7203681330
- Study type
- Systematic review
- Publisher
- International Medical Journal Corp. Ltd.
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Conventional imaging protocols frequently miss active infections in immunocompromised cohorts, aligning with the authors' emphasis on laboratory confirmation regardless of scan results.
Structured evidence summary
Research question
How does human immunodeficiency virus coinfection alter chest radiographic presentations of pulmonary tuberculosis across varying degrees of immune suppression?
Study design
A systematic review adhering to PRISMA 2020 standards that aggregated data from randomized trials, cohort studies, case-control analyses, cross-sectional surveys, and other observational investigations.
Population and setting
Individuals diagnosed with HIV or AIDS who were evaluated for pulmonary tuberculosis in clinical environments reporting high infection burdens.
Main findings
Progressive CD4+ cell depletion corresponded with reduced rates of lung cavitation and consolidation, while increasing the prevalence of enlarged lymph nodes, disseminated patterns, and unremarkable scans. HIV status served as the primary independent factor associated with nonstandard imaging results. Algorithmic image analysis showed diminished accuracy in coinfected patients, whereas anti-inflammatory treatment yielded measurable improvements during specific immune recovery phases.
Public-health relevance
Conventional imaging protocols frequently miss active infections in immunocompromised cohorts, aligning with the authors' emphasis on laboratory confirmation regardless of scan results.
Important limitations
The reliance on narrative synthesis prevents formal statistical pooling of effect sizes. Combining multiple observational frameworks alongside experimental trials introduces structural heterogeneity that may influence result consistency.
GIDS interpretation
This work functions as a consolidated reference on diagnostic imaging variations within dual-pathogen scenarios, supporting literature searches focused on infectious disease phenotyping and computational diagnostic validation.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 9 auditable classifier relationships to diseases, places, topics, and study design.