Related Experiment Video
Updated: Feb 16, 2026

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
Published on: September 5, 2017
Diabetes and poor tuberculosis treatment outcomes: issues and implications in data interpretation and analysis
P Huangfu1, F Pearson1, C Ugarte-Gil2
1Population Health Research Institute, St George's University of London, London, UK.
Abstract:
Tuberculosis (TB) remains one of the 10 leading causes of death worldwide, especially in low- and middle-income countries. We conducted a systematic review and meta-analysis including 88 studies examining the association between diabetes mellitus (DM) and TB treatment outcomes. However, we found several common methodological problems among them, including inappropriate adjustments for confounding factors, not using optimal statistical methods for 'time to event' data, misclassification in exposure (DM) and outcomes (TB treatment outcomes) due to study design and non-standardisation of definitions, misunderstanding of basic study design concept, standardisation of TB treatment outcomes and quality control of publications. Many of these problems would apply more broadly to other 'risk factors' for poor TB treatment outcomes. These issues need to be addressed and resolved to improve the quality of the studies and provide more accurate results for policy makers in the future to tackle the burden of TB.
More Related Videos
06:14Separation and Fractionation of Cell Wall and Cell Membrane Proteins from Mycobacterium tuberculosis for Downstream Protein Analysis
Published on: September 26, 2025
10:09Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies
Published on: September 22, 2014
Related Concept Videos
Bioequivalence Data: Statistical Interpretation
Ethical Issues
Ethical Concerns in Healthcare:
Analysis of Population Pharmacokinetic Data
Predicting Reaction Outcomes
Overview of Microsoft Excel as a Data Analysis Tool
Interpreting R Charts
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...