WHO consolidated guidelines on tuberculosis: module 3: diagnosis: web annex A: list of studies included in systematic review: GRADE profiles: evidence to decision tables
World Health Organization
Related document (Main document): · 2025-03
Abstract
This web annex accompanies the WHO consolidated guidelines on tuberculosis, Module 3: Diagnosis, and provides the evidence base supporting recommendations on tuberculosis diagnostic technologies and approaches. The document compiles studies included in systematic reviews, GRADE evidence profiles and evidence-to-decision tables related to nucleic acid amplification tests (NAATs) and other diagnostic methods for pulmonary and extrapulmonary tuberculosis and drug resistance detection. It covers low-, moderate- and high-complexity diagnostic platforms, including automated and manual NAATs, line probe assays and targeted next-generation sequencing.
The annex summarizes evidence on diagnostic accuracy, patient-important outcomes, cost–effectiveness, feasibility, acceptability and user perspectives across different population groups, including children and people living with HIV. It includes published and unpublished studies from diverse epidemiological and health-care settings and documents the methodological processes used in evidence assessment and guideline development. The publication supports transparency in WHO guideline formulation by presenting the underlying evidence and decision-making considerations used to inform recommendations on tuberculosis diagnosis and detection of drug resistance.
MeSH terms
- Tuberculosis
- Drug Resistance
- Tuberculosis, Multidrug-Resistant
- Mycobacterium tuberculosis
- HIV Infections
- Antitubercular Agents
- Rifampin
- Isoniazid
- Pyrazinamide
- Diagnostic Tests, Routine
- Rapid Diagnostic Tests
- High-Throughput Nucleotide Sequencing
- Systematic Reviews as Topic
- Bibliographies as Topic
- GRADE Approach
- Decision Making
- Decision Support Techniques
- Health Planning
- Tables
- Guidelines as Topic
- prevention and control
- diagnosis