Cryptococcal antigenemia and its predictors among HIV infected patients in resource limited settings: a systematic review

Table 1 Characteristics of the included studies

Author (s)	*Pub. Year	Country	Study period	Study design	Sample size	Gender, male (%)	Median/ Mean/ age
Vidal et al. [28]	2016	Brazil	2014–15	*CS	163	61	38.3
Ganiem et al. [29]	2014	Indonesia	2014	CS	810	76.3	30
Cheryl et al. [30]	2007	Uganda	2003–7	CS	377	29.4	38
Beyene et al. [31]	2013	Ethiopia	2011–12	CS	254	45.3	33
Meya et al. [32]	2010	Uganda	2004–6	CS	609	31	no data
Rugemalila et al. [33]	2013	Tanzania	2011–12	CS	218	43	39
Longley et al. [34]	2016	S. Africa	2011–14	Cohort	645	47	36
Hailu et al. [35]	2017	Ethiopia	2016–7	CS	267	49	38
Letang et al. [36]	2015	Tanzania	2008–12	Cohort	750	40	38
Christopher et al. [37]	2015	Nigeria	2010–11	CS	333	46.8	33
Williams et al. [38]	2015	Uganda	2013–14	CS	207	60.3	36
Alemu et al. [39]	2013	Ethiopia	2011	CS	369	44	36
Derbie et al. [40]	2018	Ethiopia	2016	CS	137	45.3	32
Mamuye et al. [41]	2016	Ethiopia	2013–14	CS	198	53	36.7
Oyella et al. [42]	2012	Uganda	2009–10	CS	367	48	32
Ogouyemi et al. [18]	2016	Benin	2015	CS	355	42.3	40
Drain et al. [43]	2015	S. Africa	2011–13	CS	432	60	36.1
Mdodo et al. [44]	2010	Kenya	2008–9	CS	340	47.5	35
Micol et al. [45]	2007	Cambodia	2004	CS	327	55	35
Jarvis et al. [46]	2009	South Africa	2002–5	CS	707	25	33.5
Wajanga et al. [47]	2011	Tanzania	2009–10	Cohort	333	46.2	38.5
Magambo et al. [48]	2014	Tanzania	2012–13	CS	140	42.1	36

ISSN: 1471-2334