Level 1 Evidence: Long-Term Clinical Results View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019-02-02

AUTHORS

Daisuke Araki , Ryosuke Kuroda

ABSTRACT

The level of evidence system is an evidence-based medicine tool that applies a hierarchal rating to a study’s strength based on its study design. Among these, the studies categorized as level 1 are the highest that include randomized control trials, meta-analyses, and high-quality clinical follow-up results. The precise definition of high-quality clinical follow-up results has not been determined. However, to obtain the high-quality design, careful planning of research protocols such as comprehensive initial data collection, flexible scheduling, identification of locators, data blinding, systematic subject tracking, monitoring subject loss, and systematically approaching problem cases is very important. In addition, a minimum 2-year follow-up period is also essential. This article presents how to perform the level 1 study of the long-term clinical results. More... »

PAGES

285-287

Book

TITLE

Basic Methods Handbook for Clinical Orthopaedic Research

ISBN

978-3-662-58253-4
978-3-662-58254-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-58254-1_30

DOI

http://dx.doi.org/10.1007/978-3-662-58254-1_30

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111874529


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Orthopedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan", 
          "id": "http://www.grid.ac/institutes/grid.31432.37", 
          "name": [
            "Department of Orthopedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Araki", 
        "givenName": "Daisuke", 
        "id": "sg:person.01271647131.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271647131.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Orthopedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan", 
          "id": "http://www.grid.ac/institutes/grid.31432.37", 
          "name": [
            "Department of Orthopedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuroda", 
        "givenName": "Ryosuke", 
        "id": "sg:person.01025022257.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025022257.04"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2019-02-02", 
    "datePublishedReg": "2019-02-02", 
    "description": "The level of evidence system is an evidence-based medicine tool that applies a hierarchal rating to a study\u2019s strength based on its study design. Among these, the studies categorized as level 1 are the highest that include randomized control trials, meta-analyses, and high-quality clinical follow-up results. The precise definition of high-quality clinical follow-up results has not been determined. However, to obtain the high-quality design, careful planning of research protocols such as comprehensive initial data collection, flexible scheduling, identification of locators, data blinding, systematic subject tracking, monitoring subject loss, and systematically approaching problem cases is very important. In addition, a minimum 2-year follow-up period is also essential. This article presents how to perform the level 1 study of the long-term clinical results.", 
    "editor": [
      {
        "familyName": "Musahl", 
        "givenName": "Volker", 
        "type": "Person"
      }, 
      {
        "familyName": "Karlsson", 
        "givenName": "J\u00f3n", 
        "type": "Person"
      }, 
      {
        "familyName": "Hirschmann", 
        "givenName": "Michael T.", 
        "type": "Person"
      }, 
      {
        "familyName": "Ayeni", 
        "givenName": "Olufemi R.", 
        "type": "Person"
      }, 
      {
        "familyName": "Marx", 
        "givenName": "Robert G.", 
        "type": "Person"
      }, 
      {
        "familyName": "Koh", 
        "givenName": "Jason L.", 
        "type": "Person"
      }, 
      {
        "familyName": "Nakamura", 
        "givenName": "Norimasa", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-662-58254-1_30", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-662-58253-4", 
        "978-3-662-58254-1"
      ], 
      "name": "Basic Methods Handbook for Clinical Orthopaedic Research", 
      "type": "Book"
    }, 
    "keywords": [
      "clinical follow", 
      "clinical results", 
      "evidence-based medicine tools", 
      "long-term clinical results", 
      "level 1 studies", 
      "term clinical results", 
      "randomized control trial", 
      "control trial", 
      "Evidence System", 
      "medicine tools", 
      "study design", 
      "follow", 
      "subject loss", 
      "study strengths", 
      "research protocol", 
      "initial data collection", 
      "level 1", 
      "blinding", 
      "careful planning", 
      "trials", 
      "study", 
      "problem cases", 
      "data collection", 
      "precise definition", 
      "period", 
      "levels", 
      "cases", 
      "results", 
      "protocol", 
      "loss", 
      "ratings", 
      "flexible scheduling", 
      "identification", 
      "addition", 
      "high-quality design", 
      "collection", 
      "definition", 
      "subject tracking", 
      "tool", 
      "planning", 
      "design", 
      "article", 
      "strength", 
      "locator", 
      "system", 
      "tracking", 
      "scheduling", 
      "hierarchal rating", 
      "high-quality clinical follow", 
      "comprehensive initial data collection", 
      "identification of locators", 
      "data blinding", 
      "systematic subject tracking"
    ], 
    "name": "Level 1 Evidence: Long-Term Clinical Results", 
    "pagination": "285-287", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111874529"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-662-58254-1_30"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-662-58254-1_30", 
      "https://app.dimensions.ai/details/publication/pub.1111874529"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:12", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_199.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-662-58254-1_30"
  }
]
 

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.10.1007/978-3-662-58254-1_30'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-58254-1_30'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-58254-1_30'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-58254-1_30'


 

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

150 TRIPLES      23 PREDICATES      78 URIs      71 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-662-58254-1_30 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N33e90d3e7bf949e2a6efd3d285c5786b
4 schema:datePublished 2019-02-02
5 schema:datePublishedReg 2019-02-02
6 schema:description The level of evidence system is an evidence-based medicine tool that applies a hierarchal rating to a study’s strength based on its study design. Among these, the studies categorized as level 1 are the highest that include randomized control trials, meta-analyses, and high-quality clinical follow-up results. The precise definition of high-quality clinical follow-up results has not been determined. However, to obtain the high-quality design, careful planning of research protocols such as comprehensive initial data collection, flexible scheduling, identification of locators, data blinding, systematic subject tracking, monitoring subject loss, and systematically approaching problem cases is very important. In addition, a minimum 2-year follow-up period is also essential. This article presents how to perform the level 1 study of the long-term clinical results.
7 schema:editor N4ed9e5b3576d4f32b79729ab326b0ba2
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Nccc00f076dbc4b05b8683bfcf44c42e1
12 schema:keywords Evidence System
13 addition
14 article
15 blinding
16 careful planning
17 cases
18 clinical follow
19 clinical results
20 collection
21 comprehensive initial data collection
22 control trial
23 data blinding
24 data collection
25 definition
26 design
27 evidence-based medicine tools
28 flexible scheduling
29 follow
30 hierarchal rating
31 high-quality clinical follow
32 high-quality design
33 identification
34 identification of locators
35 initial data collection
36 level 1
37 level 1 studies
38 levels
39 locator
40 long-term clinical results
41 loss
42 medicine tools
43 period
44 planning
45 precise definition
46 problem cases
47 protocol
48 randomized control trial
49 ratings
50 research protocol
51 results
52 scheduling
53 strength
54 study
55 study design
56 study strengths
57 subject loss
58 subject tracking
59 system
60 systematic subject tracking
61 term clinical results
62 tool
63 tracking
64 trials
65 schema:name Level 1 Evidence: Long-Term Clinical Results
66 schema:pagination 285-287
67 schema:productId N58be25d3c5ce4a09ae63274e77fa8f76
68 Nc0d2e3d317e04663b194c694ed727879
69 schema:publisher Ndabba92253ec40cda8c3b8b38bfbb265
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111874529
71 https://doi.org/10.1007/978-3-662-58254-1_30
72 schema:sdDatePublished 2022-01-01T19:12
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher Nc9eae8751e204cd9916f2c432f25345c
75 schema:url https://doi.org/10.1007/978-3-662-58254-1_30
76 sgo:license sg:explorer/license/
77 sgo:sdDataset chapters
78 rdf:type schema:Chapter
79 N06be2485be8c41f5a4ce513919e05b09 rdf:first Nd2f12089f7b34b26b8c50bdaa71f3949
80 rdf:rest Nb435ea72a2de428188762271ad27f3fb
81 N131500817b2b4527ab888b31447cc430 schema:familyName Marx
82 schema:givenName Robert G.
83 rdf:type schema:Person
84 N2c300e84cc864de383029d1e67f5e577 rdf:first N5bd3210dda234886bb2ed77d88a0c89b
85 rdf:rest rdf:nil
86 N2fdf2208f01d40aaaa3408ebcf7190fc rdf:first N71f9b0f25916411699383a031ddc0df2
87 rdf:rest N2c300e84cc864de383029d1e67f5e577
88 N322303089fbd46199a5fb265c847c373 schema:familyName Musahl
89 schema:givenName Volker
90 rdf:type schema:Person
91 N33e90d3e7bf949e2a6efd3d285c5786b rdf:first sg:person.01271647131.47
92 rdf:rest N55d2f1accad844e497e6ee926f0d5fb6
93 N4ed9e5b3576d4f32b79729ab326b0ba2 rdf:first N322303089fbd46199a5fb265c847c373
94 rdf:rest Nda402b65da4a4f859760360ec7cffda8
95 N55d2f1accad844e497e6ee926f0d5fb6 rdf:first sg:person.01025022257.04
96 rdf:rest rdf:nil
97 N58be25d3c5ce4a09ae63274e77fa8f76 schema:name dimensions_id
98 schema:value pub.1111874529
99 rdf:type schema:PropertyValue
100 N5bd3210dda234886bb2ed77d88a0c89b schema:familyName Nakamura
101 schema:givenName Norimasa
102 rdf:type schema:Person
103 N71f9b0f25916411699383a031ddc0df2 schema:familyName Koh
104 schema:givenName Jason L.
105 rdf:type schema:Person
106 Nb435ea72a2de428188762271ad27f3fb rdf:first Nf47972044d0b4f59877394555096a607
107 rdf:rest Nf9855357f194470cb684f8f5add6f9fb
108 Nc0d2e3d317e04663b194c694ed727879 schema:name doi
109 schema:value 10.1007/978-3-662-58254-1_30
110 rdf:type schema:PropertyValue
111 Nc9eae8751e204cd9916f2c432f25345c schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 Nccc00f076dbc4b05b8683bfcf44c42e1 schema:isbn 978-3-662-58253-4
114 978-3-662-58254-1
115 schema:name Basic Methods Handbook for Clinical Orthopaedic Research
116 rdf:type schema:Book
117 Nd2f12089f7b34b26b8c50bdaa71f3949 schema:familyName Hirschmann
118 schema:givenName Michael T.
119 rdf:type schema:Person
120 Nda402b65da4a4f859760360ec7cffda8 rdf:first Nf637d3c16dbe422a88f7d7efb37aa338
121 rdf:rest N06be2485be8c41f5a4ce513919e05b09
122 Ndabba92253ec40cda8c3b8b38bfbb265 schema:name Springer Nature
123 rdf:type schema:Organisation
124 Nf47972044d0b4f59877394555096a607 schema:familyName Ayeni
125 schema:givenName Olufemi R.
126 rdf:type schema:Person
127 Nf637d3c16dbe422a88f7d7efb37aa338 schema:familyName Karlsson
128 schema:givenName Jón
129 rdf:type schema:Person
130 Nf9855357f194470cb684f8f5add6f9fb rdf:first N131500817b2b4527ab888b31447cc430
131 rdf:rest N2fdf2208f01d40aaaa3408ebcf7190fc
132 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
133 schema:name Medical and Health Sciences
134 rdf:type schema:DefinedTerm
135 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
136 schema:name Public Health and Health Services
137 rdf:type schema:DefinedTerm
138 sg:person.01025022257.04 schema:affiliation grid-institutes:grid.31432.37
139 schema:familyName Kuroda
140 schema:givenName Ryosuke
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025022257.04
142 rdf:type schema:Person
143 sg:person.01271647131.47 schema:affiliation grid-institutes:grid.31432.37
144 schema:familyName Araki
145 schema:givenName Daisuke
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271647131.47
147 rdf:type schema:Person
148 grid-institutes:grid.31432.37 schema:alternateName Department of Orthopedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan
149 schema:name Department of Orthopedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan
150 rdf:type schema:Organization
 




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


...