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Diabetes mellitus and tuberculosis, a systematic review and meta-analysis with sensitivity analysis for studies comparable for confounders
by
Eyangoh, Sara
, Foe-Essomba, Joseph Rodrigue
, Tchatchouang, Serges
, Nyebe, Inès
, Donkeng Donfack, Valerie Flore
, Nayang-Mundo, Rachel Audrey
, Ebogo-Belobo, Jean Thierry
, Njouom, Richard
, Mbaga, Donatien Serge
, Feudjio, Alfloditte Flore
, Touangnou-Chamda, Sabine Aimee
, Yéngué, Jacqueline Félicité
, Djukouo, Larissa Gertrude
, Bowo-Ngandji, Arnol
, Kengne-Ndé, Cyprien
, Demeni Emoh, Cynthia Paola
, Mbanya, Jean Claude
, Kame-Ngasse, Ginette Irma
, Noura, Efietngab Atembeh
, Mahamat, Gadji
, Magoudjou-Pekam, Jeannette Nina
, Mbongue Mikangue, Chris Andre
, Mbacham, Wilfred Fon
, Tazokong, Hervé Raoul
, Kaiyven, Afi Leslie
, Taya-Fokou, Jean Bosco
, Kenmoe, Sebastien
, Lontchi-Yimagou, Eric
in
Biochemistry
/ Care and treatment
/ Confidence intervals
/ Confounding Factors, Epidemiologic
/ Cross-sectional studies
/ Diabetes
/ Diabetes Complications - epidemiology
/ Diabetes Complications - metabolism
/ Diabetes Complications - pathology
/ Diabetes mellitus
/ Diabetes Mellitus, Type 2 - epidemiology
/ Diabetes Mellitus, Type 2 - microbiology
/ Diabetes Mellitus, Type 2 - pathology
/ Diagnosis
/ Epidemics
/ Geographical distribution
/ Geographical locations
/ Health risks
/ Herbal medicine
/ Heterogeneity
/ HIV
/ Human immunodeficiency virus
/ Humans
/ Laboratories
/ Medical research
/ Medicine and Health Sciences
/ Meta-analysis
/ Metabolism
/ Mycobacterium tuberculosis
/ Observational studies
/ People and Places
/ Physical Sciences
/ Research and Analysis Methods
/ Risk
/ Risk Factors
/ Sensitivity analysis
/ Smoke
/ Statistical analysis
/ Tuberculosis
/ Tuberculosis - epidemiology
/ Tuberculosis - metabolism
/ Tuberculosis - pathology
/ Virology
2021
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Diabetes mellitus and tuberculosis, a systematic review and meta-analysis with sensitivity analysis for studies comparable for confounders
by
Eyangoh, Sara
, Foe-Essomba, Joseph Rodrigue
, Tchatchouang, Serges
, Nyebe, Inès
, Donkeng Donfack, Valerie Flore
, Nayang-Mundo, Rachel Audrey
, Ebogo-Belobo, Jean Thierry
, Njouom, Richard
, Mbaga, Donatien Serge
, Feudjio, Alfloditte Flore
, Touangnou-Chamda, Sabine Aimee
, Yéngué, Jacqueline Félicité
, Djukouo, Larissa Gertrude
, Bowo-Ngandji, Arnol
, Kengne-Ndé, Cyprien
, Demeni Emoh, Cynthia Paola
, Mbanya, Jean Claude
, Kame-Ngasse, Ginette Irma
, Noura, Efietngab Atembeh
, Mahamat, Gadji
, Magoudjou-Pekam, Jeannette Nina
, Mbongue Mikangue, Chris Andre
, Mbacham, Wilfred Fon
, Tazokong, Hervé Raoul
, Kaiyven, Afi Leslie
, Taya-Fokou, Jean Bosco
, Kenmoe, Sebastien
, Lontchi-Yimagou, Eric
in
Biochemistry
/ Care and treatment
/ Confidence intervals
/ Confounding Factors, Epidemiologic
/ Cross-sectional studies
/ Diabetes
/ Diabetes Complications - epidemiology
/ Diabetes Complications - metabolism
/ Diabetes Complications - pathology
/ Diabetes mellitus
/ Diabetes Mellitus, Type 2 - epidemiology
/ Diabetes Mellitus, Type 2 - microbiology
/ Diabetes Mellitus, Type 2 - pathology
/ Diagnosis
/ Epidemics
/ Geographical distribution
/ Geographical locations
/ Health risks
/ Herbal medicine
/ Heterogeneity
/ HIV
/ Human immunodeficiency virus
/ Humans
/ Laboratories
/ Medical research
/ Medicine and Health Sciences
/ Meta-analysis
/ Metabolism
/ Mycobacterium tuberculosis
/ Observational studies
/ People and Places
/ Physical Sciences
/ Research and Analysis Methods
/ Risk
/ Risk Factors
/ Sensitivity analysis
/ Smoke
/ Statistical analysis
/ Tuberculosis
/ Tuberculosis - epidemiology
/ Tuberculosis - metabolism
/ Tuberculosis - pathology
/ Virology
2021
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Diabetes mellitus and tuberculosis, a systematic review and meta-analysis with sensitivity analysis for studies comparable for confounders
by
Eyangoh, Sara
, Foe-Essomba, Joseph Rodrigue
, Tchatchouang, Serges
, Nyebe, Inès
, Donkeng Donfack, Valerie Flore
, Nayang-Mundo, Rachel Audrey
, Ebogo-Belobo, Jean Thierry
, Njouom, Richard
, Mbaga, Donatien Serge
, Feudjio, Alfloditte Flore
, Touangnou-Chamda, Sabine Aimee
, Yéngué, Jacqueline Félicité
, Djukouo, Larissa Gertrude
, Bowo-Ngandji, Arnol
, Kengne-Ndé, Cyprien
, Demeni Emoh, Cynthia Paola
, Mbanya, Jean Claude
, Kame-Ngasse, Ginette Irma
, Noura, Efietngab Atembeh
, Mahamat, Gadji
, Magoudjou-Pekam, Jeannette Nina
, Mbongue Mikangue, Chris Andre
, Mbacham, Wilfred Fon
, Tazokong, Hervé Raoul
, Kaiyven, Afi Leslie
, Taya-Fokou, Jean Bosco
, Kenmoe, Sebastien
, Lontchi-Yimagou, Eric
in
Biochemistry
/ Care and treatment
/ Confidence intervals
/ Confounding Factors, Epidemiologic
/ Cross-sectional studies
/ Diabetes
/ Diabetes Complications - epidemiology
/ Diabetes Complications - metabolism
/ Diabetes Complications - pathology
/ Diabetes mellitus
/ Diabetes Mellitus, Type 2 - epidemiology
/ Diabetes Mellitus, Type 2 - microbiology
/ Diabetes Mellitus, Type 2 - pathology
/ Diagnosis
/ Epidemics
/ Geographical distribution
/ Geographical locations
/ Health risks
/ Herbal medicine
/ Heterogeneity
/ HIV
/ Human immunodeficiency virus
/ Humans
/ Laboratories
/ Medical research
/ Medicine and Health Sciences
/ Meta-analysis
/ Metabolism
/ Mycobacterium tuberculosis
/ Observational studies
/ People and Places
/ Physical Sciences
/ Research and Analysis Methods
/ Risk
/ Risk Factors
/ Sensitivity analysis
/ Smoke
/ Statistical analysis
/ Tuberculosis
/ Tuberculosis - epidemiology
/ Tuberculosis - metabolism
/ Tuberculosis - pathology
/ Virology
2021
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Diabetes mellitus and tuberculosis, a systematic review and meta-analysis with sensitivity analysis for studies comparable for confounders
Journal Article
Diabetes mellitus and tuberculosis, a systematic review and meta-analysis with sensitivity analysis for studies comparable for confounders
2021
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Overview
Meta-analyses conducted so far on the association between diabetes mellitus (DM) and the tuberculosis (TB) development risk did not sufficiently take confounders into account in their estimates. The objective of this systematic review was to determine whether DM is associated with an increased risk of developing TB with a sensitivity analyses incorporating a wider range of confounders including age, gender, alcohol consumption, smoke exposure, and other comorbidities.
Pubmed, Embase, Web of Science and Global Index Medicus were queried from inception until October 2020. Without any restriction to time of study, geographical location, and DM and TB diagnosis approaches, all observational studies that presented data for associations between DM and TB were included. Studies with no abstract or complete text, duplicates, and studies with wrong designs (review, case report, case series, comment on an article, and editorial) or populations were excluded. The odds ratios (OR) and their 95% confidence intervals were estimated by a random-effect model.
The electronic and manual searches yielded 12,796 articles of which 47 were used in our study (23 case control, 14 cross-sectional and 10 cohort studies) involving 503,760 cases (DM or TB patients) and 3,596,845 controls. The size of the combined effect of TB risk in the presence of DM was OR = 2.3, 95% CI = [2.0-2.7], I2 = 94.2%. This statistically significant association was maintained in cohort (OR = 2.0, CI 95% = [1.5-2.4], I2 = 94.3%), case control (OR = 2.4, CI 95% = [2.0-2.9], I2 = 93.0%) and cross-sectional studies (OR = 2.5, CI 95% = [1.8-3.5], I2 = 95.2%). The association between DM and TB was also maintained in the sensitivity analysis including only studies with similar proportions of confounders between cases and controls. The substantial heterogeneity observed was mainly explained by the differences between geographic regions.
DM is associated with an increased risk of developing latent and active TB. To further explore the role of DM in the development of TB, more investigations of the biological mechanisms by which DM increases the risk of TB are needed.
PROSPERO, CRD42021216815.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Confounding Factors, Epidemiologic
/ Diabetes
/ Diabetes Complications - epidemiology
/ Diabetes Complications - metabolism
/ Diabetes Complications - pathology
/ Diabetes Mellitus, Type 2 - epidemiology
/ Diabetes Mellitus, Type 2 - microbiology
/ Diabetes Mellitus, Type 2 - pathology
/ HIV
/ Human immunodeficiency virus
/ Humans
/ Medicine and Health Sciences
/ Research and Analysis Methods
/ Risk
/ Smoke
/ Virology
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