Benefit of Carbohydrate Deficient Transferrin to Detect Chronic Alcohol Abuse in the Elderly. A French Multicentered Prospective Interventional Study. View Homepage


Ontology type: schema:MedicalStudy     


Clinical Trial Info

YEARS

2016-2016

ABSTRACT

Alcohol misuse affects 5 million people in France. Even though the elderly are also concerned by this pathology, there is not much information about chronic alcohol misuse of this population in particular. Biological markers like gamma-glutamyltranspeptidase (GGT), mean corpuscular volume (MCV) and carbohydrate deficient transferrin (CDT) are usually used to detect alcohol abuse. As a biological marker of alcohol misuse, the specificity of the CDT is known to be superior to the GGT as well. However, when it comes to the elderly, alcoholism diagnosis tools are based on research of younger populations. This study aims to evaluate the benefit of the CDT to detect chronic alcohol use in the elderly. Detailed Description Problematic alcohol misuse is frequent but tends to decrease with age. According to the French Alcohology Society, 10% of the adult population is alcohol abstinent and after 65 years old, they are 40% to abstain from alcohol. On the other hand, the French Alcohology Society also reports that a regular or daily alcohol consumption for older people increases the risk of dependence on alcohol. For the elderly, biological disorders can be related to polymedication or other conditions related to the aging process, making it difficult to diagnose alcoholism for aged people. For the study, the three-item Alcohol Use Disorders Identification Test (AUDIT-C) will be submitted to : - every patient admitted in the Hospital of Mulhouse (France) for at least a day in the Geriatrics Department - every patient entering the General Practitioner Support Association of Alsace, France (translated in French as the "RAG"). When the score of the AUDIT-C reaches at least 1 point, the study will collect results of the GGT and MCV performed as routine practice and add the CDT in the blood tests. More... »

URL

https://clinicaltrials.gov/show/NCT02822911

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/2008/3177", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "description": "Alcohol misuse affects 5 million people in France. Even though the elderly are also concerned by this pathology, there is not much information about chronic alcohol misuse of this population in particular. Biological markers like gamma-glutamyltranspeptidase (GGT), mean corpuscular volume (MCV) and carbohydrate deficient transferrin (CDT) are usually used to detect alcohol abuse. As a biological marker of alcohol misuse, the specificity of the CDT is known to be superior to the GGT as well. However, when it comes to the elderly, alcoholism diagnosis tools are based on research of younger populations. This study aims to evaluate the benefit of the CDT to detect chronic alcohol use in the elderly.\n\nDetailed Description\nProblematic alcohol misuse is frequent but tends to decrease with age. According to the French Alcohology Society, 10% of the adult population is alcohol abstinent and after 65 years old, they are 40% to abstain from alcohol. On the other hand, the French Alcohology Society also reports that a regular or daily alcohol consumption for older people increases the risk of dependence on alcohol. For the elderly, biological disorders can be related to polymedication or other conditions related to the aging process, making it difficult to diagnose alcoholism for aged people. For the study, the three-item Alcohol Use Disorders Identification Test (AUDIT-C) will be submitted to : - every patient admitted in the Hospital of Mulhouse (France) for at least a day in the Geriatrics Department - every patient entering the General Practitioner Support Association of Alsace, France (translated in French as the \"RAG\"). When the score of the AUDIT-C reaches at least 1 point, the study will collect results of the GGT and MCV performed as routine practice and add the CDT in the blood tests.", 
    "endDate": "2016-10-01T00:00:00Z", 
    "id": "sg:clinicaltrial.NCT02822911", 
    "keywords": [
      "benefit", 
      "carbohydrate-deficient transferrin", 
      "Detect", 
      "chronic alcohol abuse", 
      "interventional study", 
      "alcohol misuse", 
      "France", 
      "pathology", 
      "chronic alcohol", 
      "population", 
      "Biological Marker", 
      "GGT", 
      "Erythrocyte Index", 
      "Alcoholism", 
      "Sensitivity and Specificity", 
      "young population", 
      "chronic alcohol use", 
      "decrease", 
      "age", 
      "society", 
      "adult population", 
      "abstinent", 
      "abstain", 
      "alcohol", 
      "Alcohol Drinking", 
      "old people", 
      "risk", 
      "dependence", 
      "disorder", 
      "condition", 
      "aging process", 
      "aged people", 
      "Alcohol Use Disorders Identification Test", 
      "audit", 
      "patient", 
      "hospital", 
      "Geriatrics", 
      "general practitioner", 
      "RAG", 
      "score", 
      "volume", 
      "routine practice", 
      "Hematologic Test"
    ], 
    "name": "Benefit of Carbohydrate Deficient Transferrin to Detect Chronic Alcohol Abuse in the Elderly. A French Multicentered Prospective Interventional Study.", 
    "sameAs": [
      "https://app.dimensions.ai/details/clinical_trial/NCT02822911"
    ], 
    "sdDataset": "clinical_trials", 
    "sdDatePublished": "2019-03-07T15:26", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "file:///pack/app/us_ct_data_00021.json", 
    "sponsor": [
      {
        "id": "https://www.grid.ac/institutes/grid.490143.b", 
        "type": "Organization"
      }
    ], 
    "startDate": "2016-03-01T00:00:00Z", 
    "subjectOf": [
      {
        "id": "https://doi.org/10.1111/j.1530-0277.2002.tb02658.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014411100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.drugalcdep.2004.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021743834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/alcalc/34.5.760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021878833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1530-0277.1994.tb00043.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023353198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0741-8329(99)00044-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031906370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1684/pnv.2013.0397", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033361043", 
          "https://doi.org/10.1684/pnv.2013.0397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jchromb.2006.05.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040117175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1530-0277.2000.tb04589.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052197157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077509263", 
        "type": "CreativeWork"
      }
    ], 
    "type": "MedicalStudy", 
    "url": "https://clinicaltrials.gov/show/NCT02822911"
  }
]
 

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.NCT02822911'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/clinicaltrial.NCT02822911'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/clinicaltrial.NCT02822911'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/clinicaltrial.NCT02822911'


 

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

89 TRIPLES      16 PREDICATES      67 URIs      52 LITERALS      1 BLANK NODES

Subject Predicate Object
1 sg:clinicaltrial.NCT02822911 schema:about anzsrc-for:3177
2 schema:description Alcohol misuse affects 5 million people in France. Even though the elderly are also concerned by this pathology, there is not much information about chronic alcohol misuse of this population in particular. Biological markers like gamma-glutamyltranspeptidase (GGT), mean corpuscular volume (MCV) and carbohydrate deficient transferrin (CDT) are usually used to detect alcohol abuse. As a biological marker of alcohol misuse, the specificity of the CDT is known to be superior to the GGT as well. However, when it comes to the elderly, alcoholism diagnosis tools are based on research of younger populations. This study aims to evaluate the benefit of the CDT to detect chronic alcohol use in the elderly. Detailed Description Problematic alcohol misuse is frequent but tends to decrease with age. According to the French Alcohology Society, 10% of the adult population is alcohol abstinent and after 65 years old, they are 40% to abstain from alcohol. On the other hand, the French Alcohology Society also reports that a regular or daily alcohol consumption for older people increases the risk of dependence on alcohol. For the elderly, biological disorders can be related to polymedication or other conditions related to the aging process, making it difficult to diagnose alcoholism for aged people. For the study, the three-item Alcohol Use Disorders Identification Test (AUDIT-C) will be submitted to : - every patient admitted in the Hospital of Mulhouse (France) for at least a day in the Geriatrics Department - every patient entering the General Practitioner Support Association of Alsace, France (translated in French as the "RAG"). When the score of the AUDIT-C reaches at least 1 point, the study will collect results of the GGT and MCV performed as routine practice and add the CDT in the blood tests.
3 schema:endDate 2016-10-01T00:00:00Z
4 schema:keywords Alcohol Drinking
5 Alcohol Use Disorders Identification Test
6 Alcoholism
7 Biological Marker
8 Detect
9 Erythrocyte Index
10 France
11 GGT
12 Geriatrics
13 Hematologic Test
14 RAG
15 Sensitivity and Specificity
16 abstain
17 abstinent
18 adult population
19 age
20 aged people
21 aging process
22 alcohol
23 alcohol misuse
24 audit
25 benefit
26 carbohydrate-deficient transferrin
27 chronic alcohol
28 chronic alcohol abuse
29 chronic alcohol use
30 condition
31 decrease
32 dependence
33 disorder
34 general practitioner
35 hospital
36 interventional study
37 old people
38 pathology
39 patient
40 population
41 risk
42 routine practice
43 score
44 society
45 volume
46 young population
47 schema:name Benefit of Carbohydrate Deficient Transferrin to Detect Chronic Alcohol Abuse in the Elderly. A French Multicentered Prospective Interventional Study.
48 schema:sameAs https://app.dimensions.ai/details/clinical_trial/NCT02822911
49 schema:sdDatePublished 2019-03-07T15:26
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher Nbb0f2924946949a2baca7eeb9eb71b71
52 schema:sponsor https://www.grid.ac/institutes/grid.490143.b
53 schema:startDate 2016-03-01T00:00:00Z
54 schema:subjectOf sg:pub.10.1684/pnv.2013.0397
55 https://app.dimensions.ai/details/publication/pub.1077509263
56 https://doi.org/10.1016/j.drugalcdep.2004.01.002
57 https://doi.org/10.1016/j.jchromb.2006.05.005
58 https://doi.org/10.1016/s0741-8329(99)00044-0
59 https://doi.org/10.1093/alcalc/34.5.760
60 https://doi.org/10.1111/j.1530-0277.1994.tb00043.x
61 https://doi.org/10.1111/j.1530-0277.2000.tb04589.x
62 https://doi.org/10.1111/j.1530-0277.2002.tb02658.x
63 schema:url https://clinicaltrials.gov/show/NCT02822911
64 sgo:license sg:explorer/license/
65 sgo:sdDataset clinical_trials
66 rdf:type schema:MedicalStudy
67 Nbb0f2924946949a2baca7eeb9eb71b71 schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 anzsrc-for:3177 schema:inDefinedTermSet anzsrc-for:
70 rdf:type schema:DefinedTerm
71 sg:pub.10.1684/pnv.2013.0397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033361043
72 https://doi.org/10.1684/pnv.2013.0397
73 rdf:type schema:CreativeWork
74 https://app.dimensions.ai/details/publication/pub.1077509263 schema:CreativeWork
75 https://doi.org/10.1016/j.drugalcdep.2004.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021743834
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1016/j.jchromb.2006.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040117175
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1016/s0741-8329(99)00044-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031906370
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1093/alcalc/34.5.760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021878833
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1111/j.1530-0277.1994.tb00043.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023353198
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1111/j.1530-0277.2000.tb04589.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052197157
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1111/j.1530-0277.2002.tb02658.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014411100
88 rdf:type schema:CreativeWork
89 https://www.grid.ac/institutes/grid.490143.b schema:Organization
 




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


...