Lipid profile alterations in pulmonary tuberculosis patients with and without diabetes mellitus: a systematic review and meta-analysis

This systematic review and meta-analysis explored lipid alterations associated with tuberculosis-diabetes comorbidity. We quantitatively synthesised the lipid parameters, comparing high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, and total cholesterol among patients with TB-DM comorbidity, TB-only, and DM-only. Following PRISMA guidelines and a registered protocol (PROSPERO: CRD420261355915), we searched PubMed ( n = 150), Scopus ( n = 679), and Google Scholar ( n = 70) through April 7, 2026. Observational studies reporting lipid parameters were included. Methodological quality was appraised using the Newcastle-Ottawa Scale, and certainty of evidence was evaluated using GRADE. Pooled mean differences and pooled means were estimated using random-effects models, with between-study variance estimated by REML and Hartung-Knapp-adjusted confidence intervals. Heterogeneity was quantified using the I 2 statistic and τ 2 , and 95% prediction intervals were also calculated. Nine studies comprising 1,494 participants were included. Compared to the TB-only group, patients with TB-DM exhibited higher concentrations of LDL-C (MD = 14.99 mg/dL; 95% CI: 1.28–28.71), TG (MD = 30.13 mg/dL; 95% CI: 17.58–42.67), and TC (MD = 17.29 mg/dL; 95% CI: 5.42–29.16), while HDL-C showed no significant difference (MD = −1.15 mg/dL; 95% CI: −5.07–2.77). A principal sensitivity analysis showed that TG elevation remained robust, whereas LDL-C and TC findings lost statistical significance. In the secondary comparison, TB-DM patients exhibited significantly lower concentrations across all four lipid parameters relative to the DM-only group. Heterogeneity was substantial for the primary comparison (I 2 >70%) but ranged from 1% to 67% in the secondary comparison. Exploratory subgroup analyses showed statistical differences for LDL-C, TC, and TG, whereas no subgroup difference was found for confounder adjustment, geographic region, or study design. The overall certainty of evidence was rated as very low across all outcomes. The findings suggest that TB-DM may be associated with a higher TG concentration compared to patients with TB alone. Significant associations with LDL-C and TC were also observed but were not robust to sensitivity analyses, while no significant difference was found for HDL-C. Conversely, TB-DM may be associated with a relative reduction in HDL-C, LDL-C, TG, and TC compared to DM-only.

Authors

Institutions

Publication Details

Journal
BMC Infectious Diseases
Published
2026-09-18
DOI
https://doi.org/10.1186/s12879-026-14453-6
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Lipid profile alterations in pulmonary tuberculosis patients with and without diabetes mellitus: a systematic review and meta-analysis

Roland Osei Saahene, Ibrahim Anyass Goumboundi, Samuel Acquah, Richard K. D. Ephraim et al.
BMC Infectious Diseases
Tuberculosis Research and Epidemiology
article

Lipid profile alterations in pulmonary tuberculosis patients with and without diabetes mellitus: a systematic review and meta-analysis

Roland Osei Saahene, Ibrahim Anyass Goumboundi, Samuel Acquah, Richard K. D. Ephraim, Kwabena Dankwa, Samuel Yahaya
article en

Abstract

This systematic review and meta-analysis explored lipid alterations associated with tuberculosis-diabetes comorbidity. We quantitatively synthesised the lipid parameters, comparing high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, and total cholesterol among patients with TB-DM comorbidity, TB-only, and DM-only. Following PRISMA guidelines and a registered protocol (PROSPERO: CRD420261355915), we searched PubMed ( n = 150), Scopus ( n = 679), and Google Scholar ( n = 70) through April 7, 2026. Observational studies reporting lipid parameters were included. Methodological quality was appraised using the Newcastle-Ottawa Scale, and certainty of evidence was evaluated using GRADE. Pooled mean differences and pooled means were estimated using random-effects models, with between-study variance estimated by REML and Hartung-Knapp-adjusted confidence intervals. Heterogeneity was quantified using the I 2 statistic and τ 2 , and 95% prediction intervals were also calculated. Nine studies comprising 1,494 participants were included. Compared to the TB-only group, patients with TB-DM exhibited higher concentrations of LDL-C (MD = 14.99 mg/dL; 95% CI: 1.28–28.71), TG (MD = 30.13 mg/dL; 95% CI: 17.58–42.67), and TC (MD = 17.29 mg/dL; 95% CI: 5.42–29.16), while HDL-C showed no significant difference (MD = −1.15 mg/dL; 95% CI: −5.07–2.77). A principal sensitivity analysis showed that TG elevation remained robust, whereas LDL-C and TC findings lost statistical significance. In the secondary comparison, TB-DM patients exhibited significantly lower concentrations across all four lipid parameters relative to the DM-only group. Heterogeneity was substantial for the primary comparison (I 2 >70%) but ranged from 1% to 67% in the secondary comparison. Exploratory subgroup analyses showed statistical differences for LDL-C, TC, and TG, whereas no subgroup difference was found for confounder adjustment, geographic region, or study design. The overall certainty of evidence was rated as very low across all outcomes. The findings suggest that TB-DM may be associated with a higher TG concentration compared to patients with TB alone. Significant associations with LDL-C and TC were also observed but were not robust to sensitivity analyses, while no significant difference was found for HDL-C. Conversely, TB-DM may be associated with a relative reduction in HDL-C, LDL-C, TG, and TC compared to DM-only.

BMC Infectious Diseases
University of Cape Coast (GH)
Openalex Percentile: Top 11%
Tuberculosis Research and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.