@article{Hamada2024a,
abstract = {Objective: To investigate the prevalence of non-communicable diseases among household contacts of people with tuberculosis. Methods: We conducted a systematic review and individual participant data meta-analysis. We searched Medline, Embase and the Global Index Medicus from inception to 16 May 2023. We included studies that assessed for at least one non-communicable disease among household contacts of people with clinical tuberculosis. We estimated the non-communicable disease prevalence through mixed effects logistic regression for studies providing individual participant data, and compared it with estimates from aggregated data meta-analyses. Furthermore, we compared age and sex-standardised non-communicable disease prevalence with national-level estimates standardised for age and sex. Results: We identified 39 eligible studies, of which 14 provided individual participant data (29,194 contacts). Of the remaining 25 studies, 18 studies reported aggregated data suitable for aggregated data meta-analysis. In individual participant data analysis, the pooled prevalence of diabetes in studies that undertook biochemical testing was 8.8{\%} (95{\%} confidence interval [CI], 5.1{\%}–14.9{\%}, four studies). Age-and sex-standardised prevalence was higher in two studies (10.4{\%} vs. 6.9{\%} and 11.5{\%} vs. 8.4{\%}) than the corresponding national estimates and similar in two studies. Prevalence of diabetes mellitus based on self-report or medical records was 3.4{\%} (95{\%} CI 2.6{\%}–4.6{\%}, 14 studies). Prevalence did not significantly differ compared to estimates from aggregated data meta-analysis. There were limited data for other non-communicable diseases. Conclusion: The prevalence of diabetes mellitus among household contacts was high while that of known diabetes was substantially lower, suggesting the underdiagnosis. tuberculosis household contact investigation offers opportunities to deliver multifaceted interventions to identify tuberculosis infection and disease, screen for non-communicable diseases and address shared risk factors.},
author = {Hamada, Yohhei and Quartagno, Matteo and Malik, Farihah and Ntshamane, Keolebogile and Tisler, Anna and Gaikwad, Sanjay and Acuna-Villaorduna, Carlos and Bhavani, Perumal Kannabiran and Alisjahbana, Bachti and Ronacher, Katharina and Apriani, Lika and Becerra, Mercedes and Chu, Alexander L. and Creswell, Jacob and Diaz, Gustavo and Ferro, Beatriz E. and Galea, Jerome T. and Grandjean, Louis and Grewal, Harleen M.S. and Gupta, Amita and Jones-L{\'{o}}pez, Edward C. and Kleynhans, L{\'{e}}anie and Lecca, Leonid and MacPherson, Peter and Murray, Megan and Mar{\'{i}}n, Diana and Restrepo, Blanca I. and Shivakumar, Shri Vijay Bala Yogendra and Shu, Eileen and Sivakumaran, Dhanasekaran and Vo, Luan Nguyen Quang and Webb, Emily L. and Copas, Andrew and Abubakar, Ibrahim and Rangaka, Molebogeng X.},
doi = {10.1111/TMI.14038},
file = {:C$\backslash$:/Users/01462563/OneDrive - University of Cape Town/Documents/CIDRI-Africa papers and outputs/Hamada et al - 2024 - Prevalence of non‐communicable diseases among household contacts of people with.pdf:pdf},
issn = {1365-3156},
journal = {Tropical Medicine {\&} International Health},
keywords = {OA,chronic diseases,diabetes mellitus,fund{\_}not{\_}ack,review,systematic review,tuberculosis},
mendeley-tags = {OA,fund{\_}not{\_}ack,review},
pmid = {39073229},
publisher = {John Wiley {\&} Sons, Ltd},
title = {{Prevalence of non-communicable diseases among household contacts of people with tuberculosis: A systematic review and individual participant data meta-analysis}},
url = {https://onlinelibrary.wiley.com/doi/full/10.1111/tmi.14038 https://onlinelibrary.wiley.com/doi/abs/10.1111/tmi.14038 https://onlinelibrary.wiley.com/doi/10.1111/tmi.14038},
volume = {30},
year = {2024}
}

{"_id":"9p3qmASZJCPMd5eKL","bibbaseid":"hamada-quartagno-malik-ntshamane-tisler-gaikwad-acunavillaorduna-bhavani-etal-prevalenceofnoncommunicablediseasesamonghouseholdcontactsofpeoplewithtuberculosisasystematicreviewandindividualparticipantdatametaanalysis-2024","author_short":["Hamada, Y.","Quartagno, M.","Malik, F.","Ntshamane, K.","Tisler, A.","Gaikwad, S.","Acuna-Villaorduna, C.","Bhavani, P. K.","Alisjahbana, B.","Ronacher, K.","Apriani, L.","Becerra, M.","Chu, A. L.","Creswell, J.","Diaz, G.","Ferro, B. E.","Galea, J. T.","Grandjean, L.","Grewal, H. M.","Gupta, A.","Jones-López, E. C.","Kleynhans, L.","Lecca, L.","MacPherson, P.","Murray, M.","Marín, D.","Restrepo, B. I.","Shivakumar, S. V. B. Y.","Shu, E.","Sivakumaran, D.","Vo, L. N. Q.","Webb, E. L.","Copas, A.","Abubakar, I.","Rangaka, M. X."],"bibdata":{"bibtype":"article","type":"article","abstract":"Objective: To investigate the prevalence of non-communicable diseases among household contacts of people with tuberculosis. Methods: We conducted a systematic review and individual participant data meta-analysis. We searched Medline, Embase and the Global Index Medicus from inception to 16 May 2023. We included studies that assessed for at least one non-communicable disease among household contacts of people with clinical tuberculosis. We estimated the non-communicable disease prevalence through mixed effects logistic regression for studies providing individual participant data, and compared it with estimates from aggregated data meta-analyses. Furthermore, we compared age and sex-standardised non-communicable disease prevalence with national-level estimates standardised for age and sex. Results: We identified 39 eligible studies, of which 14 provided individual participant data (29,194 contacts). Of the remaining 25 studies, 18 studies reported aggregated data suitable for aggregated data meta-analysis. In individual participant data analysis, the pooled prevalence of diabetes in studies that undertook biochemical testing was 8.8% (95% confidence interval [CI], 5.1%–14.9%, four studies). Age-and sex-standardised prevalence was higher in two studies (10.4% vs. 6.9% and 11.5% vs. 8.4%) than the corresponding national estimates and similar in two studies. Prevalence of diabetes mellitus based on self-report or medical records was 3.4% (95% CI 2.6%–4.6%, 14 studies). Prevalence did not significantly differ compared to estimates from aggregated data meta-analysis. There were limited data for other non-communicable diseases. Conclusion: The prevalence of diabetes mellitus among household contacts was high while that of known diabetes was substantially lower, suggesting the underdiagnosis. tuberculosis household contact investigation offers opportunities to deliver multifaceted interventions to identify tuberculosis infection and disease, screen for non-communicable diseases and address shared risk factors.","author":[{"propositions":[],"lastnames":["Hamada"],"firstnames":["Yohhei"],"suffixes":[]},{"propositions":[],"lastnames":["Quartagno"],"firstnames":["Matteo"],"suffixes":[]},{"propositions":[],"lastnames":["Malik"],"firstnames":["Farihah"],"suffixes":[]},{"propositions":[],"lastnames":["Ntshamane"],"firstnames":["Keolebogile"],"suffixes":[]},{"propositions":[],"lastnames":["Tisler"],"firstnames":["Anna"],"suffixes":[]},{"propositions":[],"lastnames":["Gaikwad"],"firstnames":["Sanjay"],"suffixes":[]},{"propositions":[],"lastnames":["Acuna-Villaorduna"],"firstnames":["Carlos"],"suffixes":[]},{"propositions":[],"lastnames":["Bhavani"],"firstnames":["Perumal","Kannabiran"],"suffixes":[]},{"propositions":[],"lastnames":["Alisjahbana"],"firstnames":["Bachti"],"suffixes":[]},{"propositions":[],"lastnames":["Ronacher"],"firstnames":["Katharina"],"suffixes":[]},{"propositions":[],"lastnames":["Apriani"],"firstnames":["Lika"],"suffixes":[]},{"propositions":[],"lastnames":["Becerra"],"firstnames":["Mercedes"],"suffixes":[]},{"propositions":[],"lastnames":["Chu"],"firstnames":["Alexander","L."],"suffixes":[]},{"propositions":[],"lastnames":["Creswell"],"firstnames":["Jacob"],"suffixes":[]},{"propositions":[],"lastnames":["Diaz"],"firstnames":["Gustavo"],"suffixes":[]},{"propositions":[],"lastnames":["Ferro"],"firstnames":["Beatriz","E."],"suffixes":[]},{"propositions":[],"lastnames":["Galea"],"firstnames":["Jerome","T."],"suffixes":[]},{"propositions":[],"lastnames":["Grandjean"],"firstnames":["Louis"],"suffixes":[]},{"propositions":[],"lastnames":["Grewal"],"firstnames":["Harleen","M.S."],"suffixes":[]},{"propositions":[],"lastnames":["Gupta"],"firstnames":["Amita"],"suffixes":[]},{"propositions":[],"lastnames":["Jones-López"],"firstnames":["Edward","C."],"suffixes":[]},{"propositions":[],"lastnames":["Kleynhans"],"firstnames":["Léanie"],"suffixes":[]},{"propositions":[],"lastnames":["Lecca"],"firstnames":["Leonid"],"suffixes":[]},{"propositions":[],"lastnames":["MacPherson"],"firstnames":["Peter"],"suffixes":[]},{"propositions":[],"lastnames":["Murray"],"firstnames":["Megan"],"suffixes":[]},{"propositions":[],"lastnames":["Marín"],"firstnames":["Diana"],"suffixes":[]},{"propositions":[],"lastnames":["Restrepo"],"firstnames":["Blanca","I."],"suffixes":[]},{"propositions":[],"lastnames":["Shivakumar"],"firstnames":["Shri","Vijay","Bala","Yogendra"],"suffixes":[]},{"propositions":[],"lastnames":["Shu"],"firstnames":["Eileen"],"suffixes":[]},{"propositions":[],"lastnames":["Sivakumaran"],"firstnames":["Dhanasekaran"],"suffixes":[]},{"propositions":[],"lastnames":["Vo"],"firstnames":["Luan","Nguyen","Quang"],"suffixes":[]},{"propositions":[],"lastnames":["Webb"],"firstnames":["Emily","L."],"suffixes":[]},{"propositions":[],"lastnames":["Copas"],"firstnames":["Andrew"],"suffixes":[]},{"propositions":[],"lastnames":["Abubakar"],"firstnames":["Ibrahim"],"suffixes":[]},{"propositions":[],"lastnames":["Rangaka"],"firstnames":["Molebogeng","X."],"suffixes":[]}],"doi":"10.1111/TMI.14038","file":":C$\\$:/Users/01462563/OneDrive - University of Cape Town/Documents/CIDRI-Africa papers and outputs/Hamada et al - 2024 - Prevalence of non‐communicable diseases among household contacts of people with.pdf:pdf","issn":"1365-3156","journal":"Tropical Medicine & International Health","keywords":"OA,chronic diseases,diabetes mellitus,fund_not_ack,review,systematic review,tuberculosis","mendeley-tags":"OA,fund_not_ack,review","pmid":"39073229","publisher":"John Wiley & Sons, Ltd","title":"Prevalence of non-communicable diseases among household contacts of people with tuberculosis: A systematic review and individual participant data meta-analysis","url":"https://onlinelibrary.wiley.com/doi/full/10.1111/tmi.14038 https://onlinelibrary.wiley.com/doi/abs/10.1111/tmi.14038 https://onlinelibrary.wiley.com/doi/10.1111/tmi.14038","volume":"30","year":"2024","bibtex":"@article{Hamada2024a,\r\nabstract = {Objective: To investigate the prevalence of non-communicable diseases among household contacts of people with tuberculosis. Methods: We conducted a systematic review and individual participant data meta-analysis. We searched Medline, Embase and the Global Index Medicus from inception to 16 May 2023. We included studies that assessed for at least one non-communicable disease among household contacts of people with clinical tuberculosis. We estimated the non-communicable disease prevalence through mixed effects logistic regression for studies providing individual participant data, and compared it with estimates from aggregated data meta-analyses. Furthermore, we compared age and sex-standardised non-communicable disease prevalence with national-level estimates standardised for age and sex. Results: We identified 39 eligible studies, of which 14 provided individual participant data (29,194 contacts). Of the remaining 25 studies, 18 studies reported aggregated data suitable for aggregated data meta-analysis. In individual participant data analysis, the pooled prevalence of diabetes in studies that undertook biochemical testing was 8.8{\\%} (95{\\%} confidence interval [CI], 5.1{\\%}–14.9{\\%}, four studies). Age-and sex-standardised prevalence was higher in two studies (10.4{\\%} vs. 6.9{\\%} and 11.5{\\%} vs. 8.4{\\%}) than the corresponding national estimates and similar in two studies. Prevalence of diabetes mellitus based on self-report or medical records was 3.4{\\%} (95{\\%} CI 2.6{\\%}–4.6{\\%}, 14 studies). Prevalence did not significantly differ compared to estimates from aggregated data meta-analysis. There were limited data for other non-communicable diseases. Conclusion: The prevalence of diabetes mellitus among household contacts was high while that of known diabetes was substantially lower, suggesting the underdiagnosis. tuberculosis household contact investigation offers opportunities to deliver multifaceted interventions to identify tuberculosis infection and disease, screen for non-communicable diseases and address shared risk factors.},\r\nauthor = {Hamada, Yohhei and Quartagno, Matteo and Malik, Farihah and Ntshamane, Keolebogile and Tisler, Anna and Gaikwad, Sanjay and Acuna-Villaorduna, Carlos and Bhavani, Perumal Kannabiran and Alisjahbana, Bachti and Ronacher, Katharina and Apriani, Lika and Becerra, Mercedes and Chu, Alexander L. and Creswell, Jacob and Diaz, Gustavo and Ferro, Beatriz E. and Galea, Jerome T. and Grandjean, Louis and Grewal, Harleen M.S. and Gupta, Amita and Jones-L{\\'{o}}pez, Edward C. and Kleynhans, L{\\'{e}}anie and Lecca, Leonid and MacPherson, Peter and Murray, Megan and Mar{\\'{i}}n, Diana and Restrepo, Blanca I. and Shivakumar, Shri Vijay Bala Yogendra and Shu, Eileen and Sivakumaran, Dhanasekaran and Vo, Luan Nguyen Quang and Webb, Emily L. and Copas, Andrew and Abubakar, Ibrahim and Rangaka, Molebogeng X.},\r\ndoi = {10.1111/TMI.14038},\r\nfile = {:C$\\backslash$:/Users/01462563/OneDrive - University of Cape Town/Documents/CIDRI-Africa papers and outputs/Hamada et al - 2024 - Prevalence of non‐communicable diseases among household contacts of people with.pdf:pdf},\r\nissn = {1365-3156},\r\njournal = {Tropical Medicine {\\&} International Health},\r\nkeywords = {OA,chronic diseases,diabetes mellitus,fund{\\_}not{\\_}ack,review,systematic review,tuberculosis},\r\nmendeley-tags = {OA,fund{\\_}not{\\_}ack,review},\r\npmid = {39073229},\r\npublisher = {John Wiley {\\&} Sons, Ltd},\r\ntitle = {{Prevalence of non-communicable diseases among household contacts of people with tuberculosis: A systematic review and individual participant data meta-analysis}},\r\nurl = {https://onlinelibrary.wiley.com/doi/full/10.1111/tmi.14038 https://onlinelibrary.wiley.com/doi/abs/10.1111/tmi.14038 https://onlinelibrary.wiley.com/doi/10.1111/tmi.14038},\r\nvolume = {30},\r\nyear = {2024}\r\n}\r\n","author_short":["Hamada, Y.","Quartagno, M.","Malik, F.","Ntshamane, K.","Tisler, A.","Gaikwad, S.","Acuna-Villaorduna, C.","Bhavani, P. 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