A Randomized, Controlled Clinical Study: Assess and Intervene Cancer Pain of Advanced Malignant Tumor Patients in Real-Time, Using the Real-time ... View Homepage


Ontology type: schema:MedicalStudy     


Clinical Trial Info

YEARS

2012-2018

ABSTRACT

This study aim at the advanced malignant tumor patients who suffer from cancer pain, investigate the current status of cancer pain treatment, and study the effects in pain control and quality of life improvement using the method of real-time monitoring and treatment instruction of cancer pain. This study is a randomized, controlled, single center clinical study. After recruitment, the subjects will randomly assign to standard cancer pain treatment group and standard cancer pain treatment plus real-time dynamic monitoring and treatment intervention of cancer pain using the cloud computing concept system. And then, assess the alleviation of cancer pain and quality of live. The assumption is the system will alleviate the cancer pain efficiently. Detailed Description 1. Cancer pain is a common symptom exists in malignant tumor patients, which bother the patients and decrease the quality of life. 2. The goal of the study is that using the real-time monitoring and intervention system will alleviate cancer pain better than the standard cancer pain treatment. 3. The cloud computing concept is developed by Sun Yat-sen University cancer center, and accord with clinical practice. 4. The subjects receive the real-time monitoring and intervention system will install the software and report in the contents of cancer pain in the software correspondingly to the doctors, and advices will be given by the software as well. 5. The quality of life and overall survival follow-up is also required. More... »

URL

https://clinicaltrials.gov/show/NCT01914107

Related SciGraph Publications

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/2008/3142", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "description": "This study aim at the advanced malignant tumor patients who suffer from cancer pain, investigate the current status of cancer pain treatment, and study the effects in pain control and quality of life improvement using the method of real-time monitoring and treatment instruction of cancer pain. This study is a randomized, controlled, single center clinical study. After recruitment, the subjects will randomly assign to standard cancer pain treatment group and standard cancer pain treatment plus real-time dynamic monitoring and treatment intervention of cancer pain using the cloud computing concept system. And then, assess the alleviation of cancer pain and quality of live. The assumption is the system will alleviate the cancer pain efficiently.\n\nDetailed Description\n1. Cancer pain is a common symptom exists in malignant tumor patients, which bother the patients and decrease the quality of life. 2. The goal of the study is that using the real-time monitoring and intervention system will alleviate cancer pain better than the standard cancer pain treatment. 3. The cloud computing concept is developed by Sun Yat-sen University cancer center, and accord with clinical practice. 4. The subjects receive the real-time monitoring and intervention system will install the software and report in the contents of cancer pain in the software correspondingly to the doctors, and advices will be given by the software as well. 5. The quality of life and overall survival follow-up is also required.", 
    "endDate": "2018-06-01T00:00:00Z", 
    "id": "sg:clinicaltrial.NCT01914107", 
    "keywords": [
      "controlled clinical study", 
      "cancer pain", 
      "malignant tumor", 
      "intervention system", 
      "Cloud Computing", 
      "study aim", 
      "current status", 
      "pain treatment", 
      "pain control", 
      "life improvement", 
      "method", 
      "clinical study", 
      "recruitment", 
      "treatment group", 
      "treatment intervention", 
      "cloud", 
      "concept system", 
      "alleviation", 
      "assumption", 
      "common symptom", 
      "patient", 
      "decrease", 
      "life", 
      "concept", 
      "sens", 
      "Cancer Center", 
      "clinical practice", 
      "software", 
      "content", 
      "doctor", 
      "advice", 
      "overall survival"
    ], 
    "name": "A Randomized, Controlled Clinical Study: Assess and Intervene Cancer Pain of Advanced Malignant Tumor Patients in Real-Time, Using the Real-time Cancer Pain Assessment and Intervention System Based on Cloud Computing Concept.", 
    "sameAs": [
      "https://app.dimensions.ai/details/clinical_trial/NCT01914107"
    ], 
    "sdDataset": "clinical_trials", 
    "sdDatePublished": "2019-03-07T15:25", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "file:///pack/app/us_ct_data_00014.json", 
    "sponsor": [
      {
        "id": "https://www.grid.ac/institutes/grid.12981.33", 
        "type": "Organization"
      }, 
      {
        "id": "https://www.grid.ac/institutes/grid.488530.2", 
        "type": "Organization"
      }
    ], 
    "startDate": "2012-03-01T00:00:00Z", 
    "subjectOf": [
      {
        "id": "https://doi.org/10.1111/j.1471-6712.2008.00601.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001164945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(00)04515-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006677496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdn700", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019239224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2004.06.140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019797393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0885-3924(91)90518-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022245386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2010.33.1744", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023230572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3959(97)00070-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023351570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpainsymman.2011.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023360421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdm056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027487051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.27673", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027726470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2012.45.3548", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028954114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0885-3924(02)00387-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031042373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.38.5161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036547943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6605053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036717611", 
          "https://doi.org/10.1038/sj.bjc.6605053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmp1113622", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037393561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199403033300902", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040346764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19920215)69:4<1074::aid-cncr2820690440>3.0.co;2-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042207943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.39.2381", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044643298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3959(94)90203-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046763672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1081/cnv-50482", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047080909"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3959(94)00178-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049888969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.35.0561", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050394471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdn419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050760083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1054/jpai.2003.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053139505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpainsymman.2005.09.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053192553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/jpm.2012.0183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059288086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5055/jom.2012.0091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072568505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-119-2-199307150-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073697575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075037623", 
        "type": "CreativeWork"
      }
    ], 
    "type": "MedicalStudy", 
    "url": "https://clinicaltrials.gov/show/NCT01914107"
  }
]
 

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/clinicaltrial.NCT01914107'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/clinicaltrial.NCT01914107'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/clinicaltrial.NCT01914107'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/clinicaltrial.NCT01914107'


 

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

140 TRIPLES      16 PREDICATES      77 URIs      41 LITERALS      1 BLANK NODES

Subject Predicate Object
1 sg:clinicaltrial.NCT01914107 schema:about anzsrc-for:3142
2 schema:description This study aim at the advanced malignant tumor patients who suffer from cancer pain, investigate the current status of cancer pain treatment, and study the effects in pain control and quality of life improvement using the method of real-time monitoring and treatment instruction of cancer pain. This study is a randomized, controlled, single center clinical study. After recruitment, the subjects will randomly assign to standard cancer pain treatment group and standard cancer pain treatment plus real-time dynamic monitoring and treatment intervention of cancer pain using the cloud computing concept system. And then, assess the alleviation of cancer pain and quality of live. The assumption is the system will alleviate the cancer pain efficiently. Detailed Description 1. Cancer pain is a common symptom exists in malignant tumor patients, which bother the patients and decrease the quality of life. 2. The goal of the study is that using the real-time monitoring and intervention system will alleviate cancer pain better than the standard cancer pain treatment. 3. The cloud computing concept is developed by Sun Yat-sen University cancer center, and accord with clinical practice. 4. The subjects receive the real-time monitoring and intervention system will install the software and report in the contents of cancer pain in the software correspondingly to the doctors, and advices will be given by the software as well. 5. The quality of life and overall survival follow-up is also required.
3 schema:endDate 2018-06-01T00:00:00Z
4 schema:keywords Cancer Center
5 Cloud Computing
6 advice
7 alleviation
8 assumption
9 cancer pain
10 clinical practice
11 clinical study
12 cloud
13 common symptom
14 concept
15 concept system
16 content
17 controlled clinical study
18 current status
19 decrease
20 doctor
21 intervention system
22 life
23 life improvement
24 malignant tumor
25 method
26 overall survival
27 pain control
28 pain treatment
29 patient
30 recruitment
31 sens
32 software
33 study aim
34 treatment group
35 treatment intervention
36 schema:name A Randomized, Controlled Clinical Study: Assess and Intervene Cancer Pain of Advanced Malignant Tumor Patients in Real-Time, Using the Real-time Cancer Pain Assessment and Intervention System Based on Cloud Computing Concept.
37 schema:sameAs https://app.dimensions.ai/details/clinical_trial/NCT01914107
38 schema:sdDatePublished 2019-03-07T15:25
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N5dd53f84547740a882f20c833538afb5
41 schema:sponsor https://www.grid.ac/institutes/grid.12981.33
42 https://www.grid.ac/institutes/grid.488530.2
43 schema:startDate 2012-03-01T00:00:00Z
44 schema:subjectOf sg:pub.10.1038/sj.bjc.6605053
45 https://app.dimensions.ai/details/publication/pub.1075037623
46 https://doi.org/10.1002/1097-0142(19920215)69:4<1074::aid-cncr2820690440>3.0.co;2-l
47 https://doi.org/10.1002/cncr.27673
48 https://doi.org/10.1016/0304-3959(94)00178-h
49 https://doi.org/10.1016/0304-3959(94)90203-8
50 https://doi.org/10.1016/0885-3924(91)90518-9
51 https://doi.org/10.1016/j.jpainsymman.2005.09.004
52 https://doi.org/10.1016/j.jpainsymman.2011.08.015
53 https://doi.org/10.1016/s0140-6736(00)04515-3
54 https://doi.org/10.1016/s0304-3959(97)00070-5
55 https://doi.org/10.1016/s0885-3924(02)00387-1
56 https://doi.org/10.1054/jpai.2003.1
57 https://doi.org/10.1056/nejm199403033300902
58 https://doi.org/10.1056/nejmp1113622
59 https://doi.org/10.1081/cnv-50482
60 https://doi.org/10.1089/jpm.2012.0183
61 https://doi.org/10.1093/annonc/mdm056
62 https://doi.org/10.1093/annonc/mdn419
63 https://doi.org/10.1093/annonc/mdn700
64 https://doi.org/10.1111/j.1471-6712.2008.00601.x
65 https://doi.org/10.1200/jco.2004.06.140
66 https://doi.org/10.1200/jco.2010.33.1744
67 https://doi.org/10.1200/jco.2011.35.0561
68 https://doi.org/10.1200/jco.2011.38.5161
69 https://doi.org/10.1200/jco.2011.39.2381
70 https://doi.org/10.1200/jco.2012.45.3548
71 https://doi.org/10.5055/jom.2012.0091
72 https://doi.org/10.7326/0003-4819-119-2-199307150-00005
73 schema:url https://clinicaltrials.gov/show/NCT01914107
74 sgo:license sg:explorer/license/
75 sgo:sdDataset clinical_trials
76 rdf:type schema:MedicalStudy
77 N5dd53f84547740a882f20c833538afb5 schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 anzsrc-for:3142 schema:inDefinedTermSet anzsrc-for:
80 rdf:type schema:DefinedTerm
81 sg:pub.10.1038/sj.bjc.6605053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036717611
82 https://doi.org/10.1038/sj.bjc.6605053
83 rdf:type schema:CreativeWork
84 https://app.dimensions.ai/details/publication/pub.1075037623 schema:CreativeWork
85 https://doi.org/10.1002/1097-0142(19920215)69:4<1074::aid-cncr2820690440>3.0.co;2-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1042207943
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1002/cncr.27673 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027726470
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1016/0304-3959(94)00178-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1049888969
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1016/0304-3959(94)90203-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046763672
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/0885-3924(91)90518-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022245386
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/j.jpainsymman.2005.09.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053192553
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/j.jpainsymman.2011.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023360421
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/s0140-6736(00)04515-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006677496
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/s0304-3959(97)00070-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023351570
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/s0885-3924(02)00387-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031042373
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1054/jpai.2003.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053139505
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1056/nejm199403033300902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040346764
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1056/nejmp1113622 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037393561
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1081/cnv-50482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047080909
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1089/jpm.2012.0183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059288086
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1093/annonc/mdm056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027487051
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1093/annonc/mdn419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050760083
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1093/annonc/mdn700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019239224
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1111/j.1471-6712.2008.00601.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001164945
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1200/jco.2004.06.140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019797393
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1200/jco.2010.33.1744 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023230572
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1200/jco.2011.35.0561 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050394471
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1200/jco.2011.38.5161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036547943
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1200/jco.2011.39.2381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044643298
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1200/jco.2012.45.3548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028954114
134 rdf:type schema:CreativeWork
135 https://doi.org/10.5055/jom.2012.0091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072568505
136 rdf:type schema:CreativeWork
137 https://doi.org/10.7326/0003-4819-119-2-199307150-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073697575
138 rdf:type schema:CreativeWork
139 https://www.grid.ac/institutes/grid.12981.33 schema:Organization
140 https://www.grid.ac/institutes/grid.488530.2 schema:Organization
 




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


...