Ontology type: schema:ScholarlyArticle Open Access: True
2016-12
AUTHORSChama Mulubwa, Oliver Mweemba, Patrick Katayamoyo, Hikabasa Halwindi
ABSTRACTBACKGROUND: About 30% of the patients initiated on antiretroviral therapy in Zambia default treatment. Some of these patients later restart treatment; however, the characteristics of these patients have not been well described and documented. The aim of this study was to describe and document the socio-demographic and clinical characteristics of patients who default and restart antiretroviral therapy, and to determine the socio-demographic characteristics associated with CD4 count response at 6 and 24 months of restarting antiretroviral therapy. METHODS: A longitudinal retrospective analysis was performed on data from 535 adult patients restarting antiretroviral therapy in 2009 and 2010 at five antiretroviral therapy centres in Copperbelt and Central provinces of Zambia. To determine the association between the socio-demographic characteristics and CD4 cell count, quantile regression models were used. RESULTS: Older age above 45 years was associated with a significantly lower CD4 cell response by 38.1 cells/mm(3) (95% Confidence interval [CI]: -109.4 to -0.2) compared to the younger age (15-29 years). Patients in formal employment (Adjusted Coefficient [AC] 29.5, 95% CI: 22.8 to 81.1) and self-employment (AC 48.1, 95% CI: 18.6 to 77.4) gained significantly higher CD4 cells than those unemployed. In addition, baseline CD4 count, type of treatment, WHO staging, total duration on treatment and duration lost to follow-up were found to be strong predictors of CD4 cell count at 6 and 24 months after restarting antiretroviral therapy treatment. CONCLUSION: Age and occupation were the only socio-demographic characteristics predicting CD4 count in the patients at 6 months after restarting antiretroviral therapy after adjusting for other confounding clinical variables. More... »
PAGES289
http://scigraph.springernature.com/pub.10.1186/s12889-016-2922-3
DOIhttp://dx.doi.org/10.1186/s12889-016-2922-3
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1009039869
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27026338
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Clinical Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Adolescent",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Adult",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Age Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Anti-HIV Agents",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "CD4 Lymphocyte Count",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "HIV Infections",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Longitudinal Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Lost to Follow-Up",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Medication Adherence",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Middle Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Occupations",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Retrospective Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Socioeconomic Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Young Adult",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Zambia",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Zambia",
"id": "https://www.grid.ac/institutes/grid.12984.36",
"name": [
"Department of Public Health, School of Medicine, University of Zambia, PO Box 50110, Lusaka, Zambia"
],
"type": "Organization"
},
"familyName": "Mulubwa",
"givenName": "Chama",
"id": "sg:person.01214441351.34",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214441351.34"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Zambia",
"id": "https://www.grid.ac/institutes/grid.12984.36",
"name": [
"Department of Public Health, School of Medicine, University of Zambia, PO Box 50110, Lusaka, Zambia"
],
"type": "Organization"
},
"familyName": "Mweemba",
"givenName": "Oliver",
"id": "sg:person.0761100325.55",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761100325.55"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"FHI 360, Plot 2374, Farmers Village, ZNFU Complex, Lusaka, Zambia"
],
"type": "Organization"
},
"familyName": "Katayamoyo",
"givenName": "Patrick",
"id": "sg:person.01224314000.66",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224314000.66"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Zambia",
"id": "https://www.grid.ac/institutes/grid.12984.36",
"name": [
"Department of Public Health, School of Medicine, University of Zambia, PO Box 50110, Lusaka, Zambia"
],
"type": "Organization"
},
"familyName": "Halwindi",
"givenName": "Hikabasa",
"id": "sg:person.0715770363.18",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0715770363.18"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1371/journal.pmed.1000390",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000348656"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0084276",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002082524"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qad.0b013e3282f2d760",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003793100"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qad.0b013e3282f2d760",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003793100"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qad.0b013e3282f2d760",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003793100"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/jama.298.16.1888",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011573896"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2010.02514.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014374236"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2431-7-13",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015656715",
"https://doi.org/10.1186/1471-2431-7-13"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0051254",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016504271"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1478-7547-10-12",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017235908",
"https://doi.org/10.1186/1478-7547-10-12"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pmed.0040298",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018341069"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qai.0b013e318165dc25",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019186854"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qai.0b013e318165dc25",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019186854"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qad.0b013e3283121ca9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020145246"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qad.0b013e3283121ca9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020145246"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.7448/ias.15.3.17366",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022303063"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1475-9276-11-62",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022637961",
"https://doi.org/10.1186/1475-9276-11-62"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0005790",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023056356"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1476-0711-11-34",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023386619",
"https://doi.org/10.1186/1476-0711-11-34"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(10)61918-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029344233"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejmoa062360",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034477057"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qai.0b013e31818455d2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034943123"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qai.0b013e31818455d2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034943123"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2471/blt.14.138149",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041356082"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0038044",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045350680"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2010.02508.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047878372"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qai.0b013e31828af5a6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051177799"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qai.0b013e31828af5a6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051177799"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qai.0b013e3181f275fd",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053322613"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qai.0b013e3181f275fd",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053322613"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/qai.0b013e3181f275fd",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053322613"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1257/jep.15.4.143",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064530154"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2471/blt.06.037739",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070836851"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1074983421",
"type": "CreativeWork"
}
],
"datePublished": "2016-12",
"datePublishedReg": "2016-12-01",
"description": "BACKGROUND: About 30% of the patients initiated on antiretroviral therapy in Zambia default treatment. Some of these patients later restart treatment; however, the characteristics of these patients have not been well described and documented. The aim of this study was to describe and document the socio-demographic and clinical characteristics of patients who default and restart antiretroviral therapy, and to determine the socio-demographic characteristics associated with CD4 count response at 6 and 24 months of restarting antiretroviral therapy.\nMETHODS: A longitudinal retrospective analysis was performed on data from 535 adult patients restarting antiretroviral therapy in 2009 and 2010 at five antiretroviral therapy centres in Copperbelt and Central provinces of Zambia. To determine the association between the socio-demographic characteristics and CD4 cell count, quantile regression models were used.\nRESULTS: Older age above 45 years was associated with a significantly lower CD4 cell response by 38.1 cells/mm(3) (95% Confidence interval [CI]: -109.4 to -0.2) compared to the younger age (15-29 years). Patients in formal employment (Adjusted Coefficient [AC] 29.5, 95% CI: 22.8 to 81.1) and self-employment (AC 48.1, 95% CI: 18.6 to 77.4) gained significantly higher CD4 cells than those unemployed. In addition, baseline CD4 count, type of treatment, WHO staging, total duration on treatment and duration lost to follow-up were found to be strong predictors of CD4 cell count at 6 and 24 months after restarting antiretroviral therapy treatment.\nCONCLUSION: Age and occupation were the only socio-demographic characteristics predicting CD4 count in the patients at 6 months after restarting antiretroviral therapy after adjusting for other confounding clinical variables.",
"genre": "research_article",
"id": "sg:pub.10.1186/s12889-016-2922-3",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.2622225",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1024954",
"issn": [
"1471-2458"
],
"name": "BMC Public Health",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "16"
}
],
"name": "Social and clinical attributes of patients who restart antiretroviral therapy in central and Copperbelt provinces, Zambia: a retrospective longitudinal study",
"pagination": "289",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"2b113fe6de99564e60955a6416faedd68536167de89da3e800497d109a115b08"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"27026338"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"100968562"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s12889-016-2922-3"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1009039869"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s12889-016-2922-3",
"https://app.dimensions.ai/details/publication/pub.1009039869"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:23",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000362_0000000362/records_87091_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1186%2Fs12889-016-2922-3"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12889-016-2922-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12889-016-2922-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12889-016-2922-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12889-016-2922-3'
This table displays all metadata directly associated to this object as RDF triples.
246 TRIPLES
21 PREDICATES
73 URIs
39 LITERALS
27 BLANK NODES