Ontology type: schema:ScholarlyArticle Open Access: True
2018-06
AUTHORSCharles Dumontet, Cyrille Hulin, Meletios A. Dimopoulos, Andrew Belch, Angela Dispenzieri, Heinz Ludwig, Philippe Rodon, Jan Van Droogenbroeck, Lugui Qiu, Michele Cavo, Ann Van de Velde, Juan José Lahuerta, Olivier Allangba, Jae Hoon Lee, Eileen Boyle, Aurore Perrot, Philippe Moreau, Salomon Manier, Michel Attal, Murielle Roussel, Mohamad Mohty, Jean Yves Mary, Alexandre Civet, Bruno Costa, Antoine Tinel, Yann Gaston-Mathé, Thierry Facon
ABSTRACTInfections are a major cause of death in patients with multiple myeloma. A post hoc analysis of the phase 3 FIRST trial was conducted to characterize treatment-emergent (TE) infections and study risk factors for TE grade ≥ 3 infection. The number of TE infections/month was highest during the first 4 months of treatment (defined as early infection). Of 1613 treated patients, 340 (21.1%) experienced TE grade ≥ 3 infections in the first 18 months and 56.2% of these patients experienced their first grade ≥ 3 infection in the first 4 months. Risk of early infection was similar regardless of treatment. Based on the analyses of data in 1378 patients through multivariate logistic regression, a predictive model of first TE grade ≥ 3 infection in the first 4 months retained Eastern Cooperative Oncology Group performance status and serum β2-microglobulin, lactate dehydrogenase, and hemoglobin levels to define high- and low-risk groups showing significantly different rates of infection (24.0% vs. 7.0%, respectively; P < 0.0001). The predictive model was validated with data from three clinical trials. This predictive model of early TE grade ≥ 3 infection may be applied in the clinical setting to guide infection monitoring and strategies for infection prevention. More... »
PAGES1404-1413
http://scigraph.springernature.com/pub.10.1038/s41375-018-0133-x
DOIhttp://dx.doi.org/10.1038/s41375-018-0133-x
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29784907
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"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"8704895"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41375-018-0133-x"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1103695321"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41375-018-0133-x",
"https://app.dimensions.ai/details/publication/pub.1103695321"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:54",
"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/v90/0000000371_0000000371/records_130808_00000005.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41375-018-0133-x"
}
]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.10.1038/s41375-018-0133-x'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41375-018-0133-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41375-018-0133-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41375-018-0133-x'
This table displays all metadata directly associated to this object as RDF triples.
407 TRIPLES
21 PREDICATES
61 URIs
27 LITERALS
15 BLANK NODES