Do frailty scores predict outcome after proximal femoral replacement for musculoskeletal tumours: a case series? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-11-26

AUTHORS

Metin Tolga Buldu, Catrin Wigley, Smriti Kapoor, Paul Bassett, Craig Gerrand

ABSTRACT

PurposeFrailty has a negative independent relationship with morbidity and mortality. A frail individual has low resilience and adaptive capacity to stressors with unfavourable consequences. The relationship between musculoskeletal tumour patients undergoing surgery and frailty is underrepresented in literature. This study’s questions are; what is the prevalence of frailty in patients undergoing surgery for musculoskeletal tumours; what is the correlation between frailty and survival plus secondary outcome measures including length of hospital stay (LOS); can clinicians use frailty scoring to support preoperative decision-making?MethodsPatients over 60 years of age undergoing proximal femoral replacement for musculoskeletal tumours were included and classified as fit, vulnerable or frail using the modified frailty index (mFI), Rockwood and American Society of Anaesthesiologist’s physical status classification (ASA) grading systems. Correlation with outcomes including survival and (LOS) was determined.Results85 patients were identified of mean age 72.6 years. Median follow-up was 18.9 months. The prevalence of frailty ranged between 55 to 76% and the overall median survival in frail groups were 19.8 months with all scoring systems used. Frail patients classified by the Rockwood score had a greater LOS and a trend to reduced survival.ConclusionsThere is a high prevalence of frailty in this cohort and frailty scores should be considered when planning surgery as part of holistic care. Moreover, a median survival greater than 18 months in frail patients supports the decision to offer surgery which may positively impact quality of life. Further research to identify the relationship between frailty and outcomes in musculoskeletal tumour patients is needed.Level of evidenceIV, Retrospective Case Series. More... »

PAGES

1-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00590-021-03170-2

DOI

http://dx.doi.org/10.1007/s00590-021-03170-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1143206915

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34825990


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK", 
          "id": "http://www.grid.ac/institutes/grid.416177.2", 
          "name": [
            "Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Buldu", 
        "givenName": "Metin Tolga", 
        "id": "sg:person.014462614701.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014462614701.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK", 
          "id": "http://www.grid.ac/institutes/grid.416177.2", 
          "name": [
            "Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wigley", 
        "givenName": "Catrin", 
        "id": "sg:person.012306205315.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012306205315.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK", 
          "id": "http://www.grid.ac/institutes/grid.416177.2", 
          "name": [
            "Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kapoor", 
        "givenName": "Smriti", 
        "id": "sg:person.012510362103.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012510362103.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Statsconsultancy Ltd., 40 Longwood Lane, HP7 9EN, Amersham, Bucks, UK", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Statsconsultancy Ltd., 40 Longwood Lane, HP7 9EN, Amersham, Bucks, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bassett", 
        "givenName": "Paul", 
        "id": "sg:person.0722307025.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722307025.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK", 
          "id": "http://www.grid.ac/institutes/grid.416177.2", 
          "name": [
            "Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gerrand", 
        "givenName": "Craig", 
        "id": "sg:person.01060305600.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060305600.00"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/s41598-019-55459-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1123347018", 
          "https://doi.org/10.1038/s41598-019-55459-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12877-016-0329-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040525339", 
          "https://doi.org/10.1186/s12877-016-0329-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11547-018-0958-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109831597", 
          "https://doi.org/10.1007/s11547-018-0958-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-11-26", 
    "datePublishedReg": "2021-11-26", 
    "description": "PurposeFrailty has a negative independent relationship with morbidity and mortality. A frail individual has low resilience and adaptive capacity to stressors with unfavourable consequences. The relationship between musculoskeletal tumour patients undergoing surgery and frailty is underrepresented in literature. This study\u2019s questions are; what is the prevalence of frailty in patients undergoing surgery for musculoskeletal tumours; what is the correlation between frailty and survival plus secondary outcome measures including length of hospital stay (LOS); can clinicians use frailty scoring to support preoperative decision-making?MethodsPatients over 60\u00a0years of age undergoing proximal femoral replacement for musculoskeletal tumours were included and classified as fit, vulnerable or frail using the modified frailty index (mFI), Rockwood and American Society of Anaesthesiologist\u2019s physical status classification (ASA) grading systems. Correlation with outcomes including survival and (LOS) was determined.Results85 patients were identified of mean age 72.6\u00a0years. Median follow-up was 18.9\u00a0months. The prevalence of frailty ranged between 55 to 76% and the overall median survival in frail groups were 19.8\u00a0months with all scoring systems used. Frail patients classified by the Rockwood score had a greater LOS and a trend to reduced survival.ConclusionsThere is a high prevalence of frailty in this cohort and frailty scores should be considered when planning surgery as part of holistic care. Moreover, a median survival greater than 18\u00a0months in frail patients supports the decision to offer surgery which may positively impact quality of life. Further research to identify the relationship between frailty and outcomes in musculoskeletal tumour patients is needed.Level of evidenceIV, Retrospective Case Series.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00590-021-03170-2", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1114904", 
        "issn": [
          "1633-8065", 
          "1432-1068"
        ], 
        "name": "European Journal of Orthopaedic Surgery & Traumatology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }
    ], 
    "keywords": [
      "musculoskeletal tumor patients", 
      "prevalence of frailty", 
      "proximal femoral replacement", 
      "musculoskeletal tumors", 
      "frail patients", 
      "frailty score", 
      "median survival", 
      "case series", 
      "femoral replacement", 
      "tumor patients", 
      "overall median survival", 
      "Secondary outcome measures", 
      "retrospective case series", 
      "years of age", 
      "quality of life", 
      "negative independent relationship", 
      "Level of evidenceIV", 
      "Rockwood score", 
      "hospital stay", 
      "frail group", 
      "frailty index", 
      "frail individuals", 
      "high prevalence", 
      "outcome measures", 
      "holistic care", 
      "patients", 
      "greater LOS", 
      "surgery", 
      "frailty", 
      "independent relationship", 
      "grading system", 
      "tumors", 
      "prevalence", 
      "survival", 
      "months", 
      "American Society", 
      "outcomes", 
      "scores", 
      "study questions", 
      "further research", 
      "PurposeFrailty", 
      "MethodsPatients", 
      "morbidity", 
      "stay", 
      "frail", 
      "cohort", 
      "years", 
      "mortality", 
      "clinicians", 
      "ConclusionsThere", 
      "Rockwood", 
      "care", 
      "replacement", 
      "low resilience", 
      "age", 
      "LOS", 
      "unfavourable consequences", 
      "correlation", 
      "group", 
      "individuals", 
      "relationship", 
      "stressors", 
      "index", 
      "levels", 
      "life", 
      "measures", 
      "series", 
      "literature", 
      "quality", 
      "consequences", 
      "questions", 
      "length", 
      "trends", 
      "capacity", 
      "part", 
      "decisions", 
      "system", 
      "research", 
      "society", 
      "resilience", 
      "adaptive capacity"
    ], 
    "name": "Do frailty scores predict outcome after proximal femoral replacement for musculoskeletal tumours: a case series?", 
    "pagination": "1-8", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1143206915"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00590-021-03170-2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34825990"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00590-021-03170-2", 
      "https://app.dimensions.ai/details/publication/pub.1143206915"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:30", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_922.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00590-021-03170-2"
  }
]
 

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/s00590-021-03170-2'

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/s00590-021-03170-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00590-021-03170-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00590-021-03170-2'


 

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

180 TRIPLES      22 PREDICATES      108 URIs      97 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00590-021-03170-2 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N7d7a15a833974885806eaf39fbd109ee
4 schema:citation sg:pub.10.1007/s11547-018-0958-4
5 sg:pub.10.1038/s41598-019-55459-2
6 sg:pub.10.1186/s12877-016-0329-8
7 schema:datePublished 2021-11-26
8 schema:datePublishedReg 2021-11-26
9 schema:description PurposeFrailty has a negative independent relationship with morbidity and mortality. A frail individual has low resilience and adaptive capacity to stressors with unfavourable consequences. The relationship between musculoskeletal tumour patients undergoing surgery and frailty is underrepresented in literature. This study’s questions are; what is the prevalence of frailty in patients undergoing surgery for musculoskeletal tumours; what is the correlation between frailty and survival plus secondary outcome measures including length of hospital stay (LOS); can clinicians use frailty scoring to support preoperative decision-making?MethodsPatients over 60 years of age undergoing proximal femoral replacement for musculoskeletal tumours were included and classified as fit, vulnerable or frail using the modified frailty index (mFI), Rockwood and American Society of Anaesthesiologist’s physical status classification (ASA) grading systems. Correlation with outcomes including survival and (LOS) was determined.Results85 patients were identified of mean age 72.6 years. Median follow-up was 18.9 months. The prevalence of frailty ranged between 55 to 76% and the overall median survival in frail groups were 19.8 months with all scoring systems used. Frail patients classified by the Rockwood score had a greater LOS and a trend to reduced survival.ConclusionsThere is a high prevalence of frailty in this cohort and frailty scores should be considered when planning surgery as part of holistic care. Moreover, a median survival greater than 18 months in frail patients supports the decision to offer surgery which may positively impact quality of life. Further research to identify the relationship between frailty and outcomes in musculoskeletal tumour patients is needed.Level of evidenceIV, Retrospective Case Series.
10 schema:genre article
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf sg:journal.1114904
14 schema:keywords American Society
15 ConclusionsThere
16 LOS
17 Level of evidenceIV
18 MethodsPatients
19 PurposeFrailty
20 Rockwood
21 Rockwood score
22 Secondary outcome measures
23 adaptive capacity
24 age
25 capacity
26 care
27 case series
28 clinicians
29 cohort
30 consequences
31 correlation
32 decisions
33 femoral replacement
34 frail
35 frail group
36 frail individuals
37 frail patients
38 frailty
39 frailty index
40 frailty score
41 further research
42 grading system
43 greater LOS
44 group
45 high prevalence
46 holistic care
47 hospital stay
48 independent relationship
49 index
50 individuals
51 length
52 levels
53 life
54 literature
55 low resilience
56 measures
57 median survival
58 months
59 morbidity
60 mortality
61 musculoskeletal tumor patients
62 musculoskeletal tumors
63 negative independent relationship
64 outcome measures
65 outcomes
66 overall median survival
67 part
68 patients
69 prevalence
70 prevalence of frailty
71 proximal femoral replacement
72 quality
73 quality of life
74 questions
75 relationship
76 replacement
77 research
78 resilience
79 retrospective case series
80 scores
81 series
82 society
83 stay
84 stressors
85 study questions
86 surgery
87 survival
88 system
89 trends
90 tumor patients
91 tumors
92 unfavourable consequences
93 years
94 years of age
95 schema:name Do frailty scores predict outcome after proximal femoral replacement for musculoskeletal tumours: a case series?
96 schema:pagination 1-8
97 schema:productId N80013c54dea5482fa9dba1ea44153382
98 Na66d5414d02549f0a0b20a77ba839c65
99 Nc32c4c569c1745b2b853f0a177f5dd55
100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1143206915
101 https://doi.org/10.1007/s00590-021-03170-2
102 schema:sdDatePublished 2022-05-10T10:30
103 schema:sdLicense https://scigraph.springernature.com/explorer/license/
104 schema:sdPublisher Ne1a89cd090f14c0db6bfabb67e83550b
105 schema:url https://doi.org/10.1007/s00590-021-03170-2
106 sgo:license sg:explorer/license/
107 sgo:sdDataset articles
108 rdf:type schema:ScholarlyArticle
109 N60d374f8cac24556865ac6e2696b1311 rdf:first sg:person.01060305600.00
110 rdf:rest rdf:nil
111 N682fce1ca9b947aea38c6555c1761259 rdf:first sg:person.0722307025.23
112 rdf:rest N60d374f8cac24556865ac6e2696b1311
113 N73ba014e9dde445882e100a430cf2ed4 rdf:first sg:person.012306205315.04
114 rdf:rest Neaa7a893c25647d8a6e2ab9cc6923b60
115 N7d7a15a833974885806eaf39fbd109ee rdf:first sg:person.014462614701.84
116 rdf:rest N73ba014e9dde445882e100a430cf2ed4
117 N80013c54dea5482fa9dba1ea44153382 schema:name doi
118 schema:value 10.1007/s00590-021-03170-2
119 rdf:type schema:PropertyValue
120 Na66d5414d02549f0a0b20a77ba839c65 schema:name pubmed_id
121 schema:value 34825990
122 rdf:type schema:PropertyValue
123 Nc32c4c569c1745b2b853f0a177f5dd55 schema:name dimensions_id
124 schema:value pub.1143206915
125 rdf:type schema:PropertyValue
126 Ne1a89cd090f14c0db6bfabb67e83550b schema:name Springer Nature - SN SciGraph project
127 rdf:type schema:Organization
128 Neaa7a893c25647d8a6e2ab9cc6923b60 rdf:first sg:person.012510362103.65
129 rdf:rest N682fce1ca9b947aea38c6555c1761259
130 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
131 schema:name Medical and Health Sciences
132 rdf:type schema:DefinedTerm
133 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
134 schema:name Clinical Sciences
135 rdf:type schema:DefinedTerm
136 sg:journal.1114904 schema:issn 1432-1068
137 1633-8065
138 schema:name European Journal of Orthopaedic Surgery & Traumatology
139 schema:publisher Springer Nature
140 rdf:type schema:Periodical
141 sg:person.01060305600.00 schema:affiliation grid-institutes:grid.416177.2
142 schema:familyName Gerrand
143 schema:givenName Craig
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060305600.00
145 rdf:type schema:Person
146 sg:person.012306205315.04 schema:affiliation grid-institutes:grid.416177.2
147 schema:familyName Wigley
148 schema:givenName Catrin
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012306205315.04
150 rdf:type schema:Person
151 sg:person.012510362103.65 schema:affiliation grid-institutes:grid.416177.2
152 schema:familyName Kapoor
153 schema:givenName Smriti
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012510362103.65
155 rdf:type schema:Person
156 sg:person.014462614701.84 schema:affiliation grid-institutes:grid.416177.2
157 schema:familyName Buldu
158 schema:givenName Metin Tolga
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014462614701.84
160 rdf:type schema:Person
161 sg:person.0722307025.23 schema:affiliation grid-institutes:None
162 schema:familyName Bassett
163 schema:givenName Paul
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722307025.23
165 rdf:type schema:Person
166 sg:pub.10.1007/s11547-018-0958-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109831597
167 https://doi.org/10.1007/s11547-018-0958-4
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/s41598-019-55459-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1123347018
170 https://doi.org/10.1038/s41598-019-55459-2
171 rdf:type schema:CreativeWork
172 sg:pub.10.1186/s12877-016-0329-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040525339
173 https://doi.org/10.1186/s12877-016-0329-8
174 rdf:type schema:CreativeWork
175 grid-institutes:None schema:alternateName Statsconsultancy Ltd., 40 Longwood Lane, HP7 9EN, Amersham, Bucks, UK
176 schema:name Statsconsultancy Ltd., 40 Longwood Lane, HP7 9EN, Amersham, Bucks, UK
177 rdf:type schema:Organization
178 grid-institutes:grid.416177.2 schema:alternateName Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK
179 schema:name Sarcoma Unit, Royal National Orthopaedic Hospital, Brockley Hill, HA7 4LP, Stanmore, Middlesex, UK
180 rdf:type schema:Organization
 




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


...