Can we agree on patient-reported outcome measures for assessing hematopoietic cell transplantation patients? A study from the CIBMTR and BMT ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-09

AUTHORS

B E Shaw, S J Lee, M M Horowitz, W A Wood, J D Rizzo, K E Flynn

ABSTRACT

Much research into the impact of hematopoietic cell transplantation (HCT) on recipients' symptoms, functioning and health-related quality of life uses diverse patient-reported outcome (PRO) measures. Robust conclusions regarding PROs in HCT patients are constrained by methodological issues, including the use of multiple different and noncomparable assessment measures. We reviewed 114 publications addressing PROs in HCT patients. Although three multi-item measures were most frequently used (FACT-BMT, n=28; European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30, n=26; and SF-36, n=26), 25 additional measures were used in more than one study. Another 50 measures were used in single studies. Over 50% of studies used more than one measure. We recommend that the field agrees upon a set of measures to address the core domains important to patients, to reduce heterogeneity and allow comparisons across studies and between different populations. Measures should be available in a free and easily accessible manner internationally. We discuss the relative benefits of the National Institutes of Health-supported Patient-Reported Outcomes Measurement Information System (PROMIS) system to achieve these goals. To further address these issues, the Blood and Marrow Transplant Clinical Trials Network has recently created a task force to implement PROMIS measures alongside traditional PRO measures in future clinical trials. Robust comparisons between measures in this setting may allow for the development of a standard for HCT patients. More... »

PAGES

1173-1179

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bmt.2016.113

DOI

http://dx.doi.org/10.1038/bmt.2016.113

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049883410

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27159181


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": "Hematopoietic Stem Cell Transplantation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Outcome Assessment (Health Care)", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Patient Reported Outcome Measures", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quality Indicators, Health Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Medical College of Wisconsin", 
          "id": "https://www.grid.ac/institutes/grid.30760.32", 
          "name": [
            "Department of Medicine, CIBMTR (Center for International Blood and Marrow Transplant Research), Froedert and the Medical College of Wisconsin, Milwaukee, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shaw", 
        "givenName": "B E", 
        "id": "sg:person.0727054455.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727054455.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fred Hutchinson Cancer Research Center", 
          "id": "https://www.grid.ac/institutes/grid.270240.3", 
          "name": [
            "Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "S J", 
        "id": "sg:person.011767011574.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011767011574.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical College of Wisconsin", 
          "id": "https://www.grid.ac/institutes/grid.30760.32", 
          "name": [
            "Department of Medicine, CIBMTR (Center for International Blood and Marrow Transplant Research), Froedert and the Medical College of Wisconsin, Milwaukee, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Horowitz", 
        "givenName": "M M", 
        "id": "sg:person.010360225632.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010360225632.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of North Carolina System", 
          "id": "https://www.grid.ac/institutes/grid.410711.2", 
          "name": [
            "Division of Hematology/Oncology, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wood", 
        "givenName": "W A", 
        "id": "sg:person.01063230117.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063230117.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical College of Wisconsin", 
          "id": "https://www.grid.ac/institutes/grid.30760.32", 
          "name": [
            "Department of Medicine, CIBMTR (Center for International Blood and Marrow Transplant Research), Froedert and the Medical College of Wisconsin, Milwaukee, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rizzo", 
        "givenName": "J D", 
        "id": "sg:person.0735274405.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735274405.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical College of Wisconsin", 
          "id": "https://www.grid.ac/institutes/grid.30760.32", 
          "name": [
            "Department of Medicine, Center for Patient Care and Outcomes Research, Medical College of Wisconsin, Milwaukee, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Flynn", 
        "givenName": "K E", 
        "id": "sg:person.01113354744.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113354744.02"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/cncr.29104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003372081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2003-07-2430", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011898177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbmt.2012.11.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011977232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/amiajnl-2011-000576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015176239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jop.2011.000434", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018205487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pon.1399", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019407185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000258615.42478.55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021919324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000258615.42478.55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021919324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000258615.42478.55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021919324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.288.23.3027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023557649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.21871", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023914957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.21871", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023914957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2007.12.2341", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025764073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bmt.2011.130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036425282", 
          "https://doi.org/10.1038/bmt.2011.130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1600-0609.2000.90143.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036441239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2008-10-182592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037803648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2008-10-182592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037803648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1524-4733.2010.00732.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039569322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.seminhematol.2011.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039893567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/9781118473306.ch35", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043749276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-004-2394-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045503890", 
          "https://doi.org/10.1007/s11136-004-2394-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2141.2009.07992.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047321865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2141.2009.07992.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047321865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0953-6205(01)00198-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049296606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1996.14.2.671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082888224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083009848", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-09", 
    "datePublishedReg": "2016-09-01", 
    "description": "Much research into the impact of hematopoietic cell transplantation (HCT) on recipients' symptoms, functioning and health-related quality of life uses diverse patient-reported outcome (PRO) measures. Robust conclusions regarding PROs in HCT patients are constrained by methodological issues, including the use of multiple different and noncomparable assessment measures. We reviewed 114 publications addressing PROs in HCT patients. Although three multi-item measures were most frequently used (FACT-BMT, n=28; European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30, n=26; and SF-36, n=26), 25 additional measures were used in more than one study. Another 50 measures were used in single studies. Over 50% of studies used more than one measure. We recommend that the field agrees upon a set of measures to address the core domains important to patients, to reduce heterogeneity and allow comparisons across studies and between different populations. Measures should be available in a free and easily accessible manner internationally. We discuss the relative benefits of the National Institutes of Health-supported Patient-Reported Outcomes Measurement Information System (PROMIS) system to achieve these goals. To further address these issues, the Blood and Marrow Transplant Clinical Trials Network has recently created a task force to implement PROMIS measures alongside traditional PRO measures in future clinical trials. Robust comparisons between measures in this setting may allow for the development of a standard for HCT patients. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/bmt.2016.113", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2694382", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1096890", 
        "issn": [
          "0268-3369", 
          "1476-5365"
        ], 
        "name": "Bone Marrow Transplantation", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "51"
      }
    ], 
    "name": "Can we agree on patient-reported outcome measures for assessing hematopoietic cell transplantation patients? A study from the CIBMTR and BMT CTN", 
    "pagination": "1173-1179", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "eda0829f933adfc574e109202977e2c5fb4b37e9a7420726f5fe7fef7111a08d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27159181"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8702459"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/bmt.2016.113"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1049883410"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/bmt.2016.113", 
      "https://app.dimensions.ai/details/publication/pub.1049883410"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:04", 
    "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/v90/0000000001_0000000264/records_8695_00000426.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/bmt/journal/v51/n9/full/bmt2016113a.html"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/bmt.2016.113'

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/bmt.2016.113'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bmt.2016.113'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bmt.2016.113'


 

This table displays all metadata directly associated to this object as RDF triples.

205 TRIPLES      21 PREDICATES      57 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/bmt.2016.113 schema:about N249008d3a9604e3cb13b6157898f63ce
2 N4c78691d769b465dba674be932c69505
3 N67fa865e073a4d328b9a225992adc464
4 N87168e6882a047d88c50718489dadfda
5 N91eae56d71b043a7838c755c610ea788
6 Ncf339245f6ee4cbe8d246e45f67236db
7 Ndab2701f184f4c8ea4fb73b14f53a3a8
8 anzsrc-for:11
9 anzsrc-for:1103
10 schema:author N1fc232bc43d94c599156eceb638e81f5
11 schema:citation sg:pub.10.1007/s11136-004-2394-2
12 sg:pub.10.1038/bmt.2011.130
13 https://app.dimensions.ai/details/publication/pub.1083009848
14 https://doi.org/10.1001/jama.288.23.3027
15 https://doi.org/10.1002/9781118473306.ch35
16 https://doi.org/10.1002/cncr.21871
17 https://doi.org/10.1002/cncr.29104
18 https://doi.org/10.1002/pon.1399
19 https://doi.org/10.1016/j.bbmt.2012.11.014
20 https://doi.org/10.1016/s0953-6205(01)00198-4
21 https://doi.org/10.1034/j.1600-0609.2000.90143.x
22 https://doi.org/10.1053/j.seminhematol.2011.10.004
23 https://doi.org/10.1097/01.mlr.0000258615.42478.55
24 https://doi.org/10.1111/j.1365-2141.2009.07992.x
25 https://doi.org/10.1111/j.1524-4733.2010.00732.x
26 https://doi.org/10.1136/amiajnl-2011-000576
27 https://doi.org/10.1182/blood-2003-07-2430
28 https://doi.org/10.1182/blood-2008-10-182592
29 https://doi.org/10.1200/jco.1996.14.2.671
30 https://doi.org/10.1200/jco.2007.12.2341
31 https://doi.org/10.1200/jop.2011.000434
32 schema:datePublished 2016-09
33 schema:datePublishedReg 2016-09-01
34 schema:description Much research into the impact of hematopoietic cell transplantation (HCT) on recipients' symptoms, functioning and health-related quality of life uses diverse patient-reported outcome (PRO) measures. Robust conclusions regarding PROs in HCT patients are constrained by methodological issues, including the use of multiple different and noncomparable assessment measures. We reviewed 114 publications addressing PROs in HCT patients. Although three multi-item measures were most frequently used (FACT-BMT, n=28; European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30, n=26; and SF-36, n=26), 25 additional measures were used in more than one study. Another 50 measures were used in single studies. Over 50% of studies used more than one measure. We recommend that the field agrees upon a set of measures to address the core domains important to patients, to reduce heterogeneity and allow comparisons across studies and between different populations. Measures should be available in a free and easily accessible manner internationally. We discuss the relative benefits of the National Institutes of Health-supported Patient-Reported Outcomes Measurement Information System (PROMIS) system to achieve these goals. To further address these issues, the Blood and Marrow Transplant Clinical Trials Network has recently created a task force to implement PROMIS measures alongside traditional PRO measures in future clinical trials. Robust comparisons between measures in this setting may allow for the development of a standard for HCT patients.
35 schema:genre research_article
36 schema:inLanguage en
37 schema:isAccessibleForFree true
38 schema:isPartOf N34dda8196ad649f29a6705ed47e7e54b
39 N96faf5fb03504e31a52e1f273715c12e
40 sg:journal.1096890
41 schema:name Can we agree on patient-reported outcome measures for assessing hematopoietic cell transplantation patients? A study from the CIBMTR and BMT CTN
42 schema:pagination 1173-1179
43 schema:productId N1a5d1b81861047a19a5469eebd176e47
44 N1c8fa8d73cd4414eb932ceb9ed975740
45 N2982481e54ef4f73ab57faa664e79da1
46 N550107368e6649158b9b7847af2d1f1b
47 Ndc0c45dfc720494bb18c261620bbfad8
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049883410
49 https://doi.org/10.1038/bmt.2016.113
50 schema:sdDatePublished 2019-04-11T00:04
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N5963ebc965494389acdfaccdeee788fc
53 schema:url http://www.nature.com/bmt/journal/v51/n9/full/bmt2016113a.html
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N1a5d1b81861047a19a5469eebd176e47 schema:name dimensions_id
58 schema:value pub.1049883410
59 rdf:type schema:PropertyValue
60 N1c8fa8d73cd4414eb932ceb9ed975740 schema:name pubmed_id
61 schema:value 27159181
62 rdf:type schema:PropertyValue
63 N1fc232bc43d94c599156eceb638e81f5 rdf:first sg:person.0727054455.03
64 rdf:rest N9569c176109340f998e901ff05e131da
65 N249008d3a9604e3cb13b6157898f63ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Patient Reported Outcome Measures
67 rdf:type schema:DefinedTerm
68 N2982481e54ef4f73ab57faa664e79da1 schema:name nlm_unique_id
69 schema:value 8702459
70 rdf:type schema:PropertyValue
71 N34dda8196ad649f29a6705ed47e7e54b schema:issueNumber 9
72 rdf:type schema:PublicationIssue
73 N4c78691d769b465dba674be932c69505 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Hematopoietic Stem Cell Transplantation
75 rdf:type schema:DefinedTerm
76 N550107368e6649158b9b7847af2d1f1b schema:name readcube_id
77 schema:value eda0829f933adfc574e109202977e2c5fb4b37e9a7420726f5fe7fef7111a08d
78 rdf:type schema:PropertyValue
79 N5963ebc965494389acdfaccdeee788fc schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 N67fa865e073a4d328b9a225992adc464 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Outcome Assessment (Health Care)
83 rdf:type schema:DefinedTerm
84 N87168e6882a047d88c50718489dadfda schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Reproducibility of Results
86 rdf:type schema:DefinedTerm
87 N91eae56d71b043a7838c755c610ea788 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Humans
89 rdf:type schema:DefinedTerm
90 N9569c176109340f998e901ff05e131da rdf:first sg:person.011767011574.08
91 rdf:rest Nff768db59d1c40c39d2326889d0c4fa9
92 N96faf5fb03504e31a52e1f273715c12e schema:volumeNumber 51
93 rdf:type schema:PublicationVolume
94 Na0e37766ec6b420095f495312b96d982 rdf:first sg:person.0735274405.45
95 rdf:rest Nae06d6bdaa634fb4b6c87e7d85f9b9af
96 Nab8096e6c23247dba1597a04f5eabc77 rdf:first sg:person.01063230117.36
97 rdf:rest Na0e37766ec6b420095f495312b96d982
98 Nae06d6bdaa634fb4b6c87e7d85f9b9af rdf:first sg:person.01113354744.02
99 rdf:rest rdf:nil
100 Ncf339245f6ee4cbe8d246e45f67236db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Treatment Outcome
102 rdf:type schema:DefinedTerm
103 Ndab2701f184f4c8ea4fb73b14f53a3a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Quality Indicators, Health Care
105 rdf:type schema:DefinedTerm
106 Ndc0c45dfc720494bb18c261620bbfad8 schema:name doi
107 schema:value 10.1038/bmt.2016.113
108 rdf:type schema:PropertyValue
109 Nff768db59d1c40c39d2326889d0c4fa9 rdf:first sg:person.010360225632.91
110 rdf:rest Nab8096e6c23247dba1597a04f5eabc77
111 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
112 schema:name Medical and Health Sciences
113 rdf:type schema:DefinedTerm
114 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
115 schema:name Clinical Sciences
116 rdf:type schema:DefinedTerm
117 sg:grant.2694382 http://pending.schema.org/fundedItem sg:pub.10.1038/bmt.2016.113
118 rdf:type schema:MonetaryGrant
119 sg:journal.1096890 schema:issn 0268-3369
120 1476-5365
121 schema:name Bone Marrow Transplantation
122 rdf:type schema:Periodical
123 sg:person.010360225632.91 schema:affiliation https://www.grid.ac/institutes/grid.30760.32
124 schema:familyName Horowitz
125 schema:givenName M M
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010360225632.91
127 rdf:type schema:Person
128 sg:person.01063230117.36 schema:affiliation https://www.grid.ac/institutes/grid.410711.2
129 schema:familyName Wood
130 schema:givenName W A
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063230117.36
132 rdf:type schema:Person
133 sg:person.01113354744.02 schema:affiliation https://www.grid.ac/institutes/grid.30760.32
134 schema:familyName Flynn
135 schema:givenName K E
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113354744.02
137 rdf:type schema:Person
138 sg:person.011767011574.08 schema:affiliation https://www.grid.ac/institutes/grid.270240.3
139 schema:familyName Lee
140 schema:givenName S J
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011767011574.08
142 rdf:type schema:Person
143 sg:person.0727054455.03 schema:affiliation https://www.grid.ac/institutes/grid.30760.32
144 schema:familyName Shaw
145 schema:givenName B E
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727054455.03
147 rdf:type schema:Person
148 sg:person.0735274405.45 schema:affiliation https://www.grid.ac/institutes/grid.30760.32
149 schema:familyName Rizzo
150 schema:givenName J D
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735274405.45
152 rdf:type schema:Person
153 sg:pub.10.1007/s11136-004-2394-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045503890
154 https://doi.org/10.1007/s11136-004-2394-2
155 rdf:type schema:CreativeWork
156 sg:pub.10.1038/bmt.2011.130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036425282
157 https://doi.org/10.1038/bmt.2011.130
158 rdf:type schema:CreativeWork
159 https://app.dimensions.ai/details/publication/pub.1083009848 schema:CreativeWork
160 https://doi.org/10.1001/jama.288.23.3027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023557649
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1002/9781118473306.ch35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043749276
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1002/cncr.21871 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023914957
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1002/cncr.29104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003372081
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1002/pon.1399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019407185
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.bbmt.2012.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011977232
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/s0953-6205(01)00198-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049296606
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1034/j.1600-0609.2000.90143.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036441239
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1053/j.seminhematol.2011.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039893567
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1097/01.mlr.0000258615.42478.55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021919324
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1111/j.1365-2141.2009.07992.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047321865
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1111/j.1524-4733.2010.00732.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039569322
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1136/amiajnl-2011-000576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015176239
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1182/blood-2003-07-2430 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011898177
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1182/blood-2008-10-182592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037803648
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1200/jco.1996.14.2.671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082888224
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1200/jco.2007.12.2341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025764073
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1200/jop.2011.000434 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018205487
195 rdf:type schema:CreativeWork
196 https://www.grid.ac/institutes/grid.270240.3 schema:alternateName Fred Hutchinson Cancer Research Center
197 schema:name Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
198 rdf:type schema:Organization
199 https://www.grid.ac/institutes/grid.30760.32 schema:alternateName Medical College of Wisconsin
200 schema:name Department of Medicine, CIBMTR (Center for International Blood and Marrow Transplant Research), Froedert and the Medical College of Wisconsin, Milwaukee, WI, USA
201 Department of Medicine, Center for Patient Care and Outcomes Research, Medical College of Wisconsin, Milwaukee, WI, USA
202 rdf:type schema:Organization
203 https://www.grid.ac/institutes/grid.410711.2 schema:alternateName University of North Carolina System
204 schema:name Division of Hematology/Oncology, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
205 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...