Can A Multivariate Model for Survival Estimation in Skeletal Metastases (PATHFx) Be Externally Validated Using Japanese Patients? View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-09

AUTHORS

Koichi Ogura, Tabu Gokita, Yusuke Shinoda, Hirotaka Kawano, Tatsuya Takagi, Keisuke Ae, Akira Kawai, Rikard Wedin, Jonathan A. Forsberg

ABSTRACT

BACKGROUND: Objective survival estimates are important when treating or studying outcomes in patients with skeletal metastases. One decision-support tool, PATHFx (www.pathfx.org) is designed to predict each patient's postsurgical survival trajectory at 1, 3, 6, and 12 months in patients undergoing stabilization for skeletal metastases. PATHFx has been externally validated in various western centers, but it is unknown whether it may be useful in Asian patient populations. QUESTIONS/PURPOSES: We asked (1) whether the PATHFx models are as predictive in Japanese patients by estimating the area under the receiver operator characteristic curve (AUC); we considered an AUC greater than 0.7 as an adequate predictive value. We also (2) performed decision curve analysis at various times to determine whether and how PATHFx should be used clinically at those times. PATIENTS AND METHODS: A Bayesian model is a statistical method to explore conditional, probabilistic relationships between variables to estimate the likelihood of an outcome using observed data. We applied the PATHFx Bayesian models to an independent dataset containing the records of patients who underwent skeletal stabilization for metastatic bone disease at one of five Japanese referral centers and had a followup longer than 12 months for survivors. Of 270 patients in the database, we excluded nine patients from analysis because their followup was less than 12 months, and finally we included 261 patients in the analysis. Data examined included age at the time of surgery, sex, indication for surgery (impending fracture or completed pathologic fracture), number of bone metastases (solitary or multiple), presence or absence of visceral or lymph node metastases, preoperative hemoglobin concentration, absolute lymphocyte count, and the primary oncologic diagnosis. We performed receiver operating characteristic curve analysis and estimated the AUC as a measure of discriminatory ability. Decision curve analysis was performed to determine if and how the models should be used in the clinical setting. RESULTS: The AUCs for the 1-, 3-, 6-, and 12-month models were 0.77 (95% CI, 0.63-0.86), 0.80 (95% CI, 0.72-0.87), 0.83 (95% CI, 0.77-0.89), and 0.80 (95% CI, 0.75-0.86), respectively. Decision analysis indicated that the models conferred a positive net benefit (above the lines assuming none or all survive at each time) although the CIs of the AUC for 1 month were wide, suggesting that this dataset could not adequately predict 1-month survival. CONCLUSIONS: Our findings show PATHFx is suitable for clinical use in Japan and may be used to guide surgical decision making or as a risk stratification method in support of clinical trials involving Japanese patients at 3, 6, and 12 months. More studies will be necessary to confirm the validity of the 1-month survival predictions of this mode. Other patient populations will need to be studied to confirm its usefulness in other non-Western and non-Japanese populations. LEVEL OF EVIDENCE: Level II, prognostic study. More... »

PAGES

2263-2270

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11999-017-5389-3

DOI

http://dx.doi.org/10.1007/s11999-017-5389-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085723321

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28560532


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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Area Under Curve", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bayes Theorem", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Factual", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Decision Support Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kaplan-Meier Estimate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "ROC Curve", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Tokyo Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412708.8", 
          "name": [
            "Department of Musculoskeletal Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, 104-0045, Tokyo, Japan", 
            "Department of Orthopaedic Surgery, The University of Tokyo Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ogura", 
        "givenName": "Koichi", 
        "id": "sg:person.01251361305.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251361305.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cancer Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Orthopaedic Surgery, Cancer Institute Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gokita", 
        "givenName": "Tabu", 
        "id": "sg:person.01142751450.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142751450.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412708.8", 
          "name": [
            "Department of Orthopaedic Surgery, The University of Tokyo Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shinoda", 
        "givenName": "Yusuke", 
        "id": "sg:person.010747227045.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010747227045.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Teikyo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412305.1", 
          "name": [
            "Department of Orthopaedic Surgery, Teikyo University Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawano", 
        "givenName": "Hirotaka", 
        "id": "sg:person.01207525031.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207525031.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Juntendo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411966.d", 
          "name": [
            "Department of Orthopaedic Surgery, Juntendo University Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takagi", 
        "givenName": "Tatsuya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cancer Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Orthopaedic Surgery, Cancer Institute Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ae", 
        "givenName": "Keisuke", 
        "id": "sg:person.01362310521.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362310521.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Centre", 
          "id": "https://www.grid.ac/institutes/grid.272242.3", 
          "name": [
            "Department of Musculoskeletal Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, 104-0045, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawai", 
        "givenName": "Akira", 
        "id": "sg:person.0741153364.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741153364.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Section of Orthopaedics and Sports Medicine, Department of Molecular Medicine and Surgery, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wedin", 
        "givenName": "Rikard", 
        "id": "sg:person.0603573451.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603573451.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Walter Reed National Military Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.414467.4", 
          "name": [
            "Section of Orthopaedics and Sports Medicine, Department of Molecular Medicine and Surgery, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden", 
            "Orthopaedics, Department of Surgery, Uniformed Services University-Walter Reed National Military Medical Center, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Forsberg", 
        "givenName": "Jonathan A.", 
        "id": "sg:person.0710743363.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710743363.22"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3109/17453679508995508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002709049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12885-015-1396-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007849590", 
          "https://doi.org/10.1186/s12885-015-1396-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12885-015-1396-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007849590", 
          "https://doi.org/10.1186/s12885-015-1396-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.279.21.1709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008369019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.brs.0000180401.06919.a5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010960861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.brs.0000180401.06919.a5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010960861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.brs.0000180401.06919.a5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010960861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0272989x06295361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017511050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0272989x06295361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017511050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.87b5.15185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023625179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.11039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023698407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cam4.292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025617908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-016-5187-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036133200", 
          "https://doi.org/10.1007/s11999-016-5187-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s11999-016-5187-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036133200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-016-5187-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036133200", 
          "https://doi.org/10.1007/s11999-016-5187-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0019956", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041438274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.24628", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042375183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.24628", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042375183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2407-12-493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043094240", 
          "https://doi.org/10.1186/1471-2407-12-493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00016470410001708270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046640520"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-09", 
    "datePublishedReg": "2017-09-01", 
    "description": "BACKGROUND: Objective survival estimates are important when treating or studying outcomes in patients with skeletal metastases. One decision-support tool, PATHFx (www.pathfx.org) is designed to predict each patient's postsurgical survival trajectory at 1, 3, 6, and 12\u00a0months in patients undergoing stabilization for skeletal metastases. PATHFx has been externally validated in various western centers, but it is unknown whether it may be useful in Asian patient populations.\nQUESTIONS/PURPOSES: We asked (1) whether the PATHFx models are as predictive in Japanese patients by estimating the area under the receiver operator characteristic curve (AUC); we considered an AUC greater than 0.7 as an adequate predictive value. We also (2) performed decision curve analysis at various times to determine whether and how PATHFx should be used clinically at those times.\nPATIENTS AND METHODS: A Bayesian model is a statistical method to explore conditional, probabilistic relationships between variables to estimate the likelihood of an outcome using observed data. We applied the PATHFx Bayesian models to an independent dataset containing the records of patients who underwent skeletal stabilization for metastatic bone disease at one of five Japanese referral centers and had a followup longer than 12\u00a0months for survivors. Of 270 patients in the database, we excluded nine patients from analysis because their followup was less than 12\u00a0months, and finally we included 261 patients in the analysis. Data examined included age at the time of surgery, sex, indication for surgery (impending fracture or completed pathologic fracture), number of bone metastases (solitary or multiple), presence or absence of visceral or lymph node metastases, preoperative hemoglobin concentration, absolute lymphocyte count, and the primary oncologic diagnosis. We performed receiver operating characteristic curve analysis and estimated the AUC as a measure of discriminatory ability. Decision curve analysis was performed to determine if and how the models should be used in the clinical setting.\nRESULTS: The AUCs for the 1-, 3-, 6-, and 12-month models were 0.77 (95% CI, 0.63-0.86), 0.80 (95% CI, 0.72-0.87), 0.83 (95% CI, 0.77-0.89), and 0.80 (95% CI, 0.75-0.86), respectively. Decision analysis indicated that the models conferred a positive net benefit (above the lines assuming none or all survive at each time) although the CIs of the AUC for 1\u00a0month were wide, suggesting that this dataset could not adequately predict 1-month survival.\nCONCLUSIONS: Our findings show PATHFx is suitable for clinical use in Japan and may be used to guide surgical decision making or as a risk stratification method in support of clinical trials involving Japanese patients at 3, 6, and 12\u00a0months. More studies will be necessary to confirm the validity of the 1-month survival predictions of this mode. Other patient populations will need to be studied to confirm its usefulness in other non-Western and non-Japanese populations.\nLEVEL OF EVIDENCE: Level II, prognostic study.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11999-017-5389-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1007212", 
        "issn": [
          "0009-921X", 
          "1528-1132"
        ], 
        "name": "Clinical Orthopaedics and Related Research\u00ae", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "475"
      }
    ], 
    "name": "Can A Multivariate Model for Survival Estimation in Skeletal Metastases (PATHFx) Be Externally Validated Using Japanese Patients?", 
    "pagination": "2263-2270", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9fdb46146a49fe310339c527833da79397798b056dd6d013087d9777b0e60e00"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28560532"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0075674"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11999-017-5389-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1085723321"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11999-017-5389-3", 
      "https://app.dimensions.ai/details/publication/pub.1085723321"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:34", 
    "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/v90/0000000349_0000000349/records_113664_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11999-017-5389-3"
  }
]
 

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/s11999-017-5389-3'

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/s11999-017-5389-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11999-017-5389-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11999-017-5389-3'


 

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

268 TRIPLES      21 PREDICATES      63 URIs      41 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11999-017-5389-3 schema:about N03c60d11ce7b4453b410d00fbf26fdbb
2 N0ffa8a13b2c54292970f7de91e655de3
3 N1a8709e32b7f4599818960bd0713d0a7
4 N306df35bbb57400088b138ff9fc23297
5 N35d3b50afb1d466c9cefd10ffa02aabc
6 N40cf7b09252d41b29e225b6882aa73fd
7 N41b855f4d22242acbc9f3d2412c747b2
8 N5289cbbdb43847afb6b63e083eea3d69
9 N58a4135e939f4e22bfc8e7d50b47956b
10 N76e34cfb99bd444582eaedcc3ef5098f
11 N77957ff2b7744edba7f2f31cf6bc68e7
12 N780bffd045f8474b8525c8066dc406d1
13 Nb7e35070145e40d5945a4e226ff35fdb
14 Nbda8c1024d9a402ea36c5b34887ff296
15 Nc211600298704c2a9a95a587243781f6
16 Ndccdb85e5b7f4320a98c75c9cfba6c9c
17 Ne57d9caa17d94ee6a53d937383992b5c
18 Ne7743739908d4267821b9a0ee1893033
19 Neb10c9ddd20c41d09dfd2ee73d44d3e7
20 Nf39fadf27a9843219624724950ae2e53
21 anzsrc-for:11
22 anzsrc-for:1103
23 schema:author N63538ce2be5e477dbe27d6c503635a66
24 schema:citation sg:pub.10.1007/s11999-016-5187-3
25 sg:pub.10.1186/1471-2407-12-493
26 sg:pub.10.1186/s12885-015-1396-5
27 https://doi.org/10.1001/jama.279.21.1709
28 https://doi.org/10.1002/cam4.292
29 https://doi.org/10.1002/cncr.11039
30 https://doi.org/10.1002/cncr.24628
31 https://doi.org/10.1007/s11999-016-5187-3
32 https://doi.org/10.1080/00016470410001708270
33 https://doi.org/10.1097/01.brs.0000180401.06919.a5
34 https://doi.org/10.1177/0272989x06295361
35 https://doi.org/10.1302/0301-620x.87b5.15185
36 https://doi.org/10.1371/journal.pone.0019956
37 https://doi.org/10.3109/17453679508995508
38 schema:datePublished 2017-09
39 schema:datePublishedReg 2017-09-01
40 schema:description BACKGROUND: Objective survival estimates are important when treating or studying outcomes in patients with skeletal metastases. One decision-support tool, PATHFx (www.pathfx.org) is designed to predict each patient's postsurgical survival trajectory at 1, 3, 6, and 12 months in patients undergoing stabilization for skeletal metastases. PATHFx has been externally validated in various western centers, but it is unknown whether it may be useful in Asian patient populations. QUESTIONS/PURPOSES: We asked (1) whether the PATHFx models are as predictive in Japanese patients by estimating the area under the receiver operator characteristic curve (AUC); we considered an AUC greater than 0.7 as an adequate predictive value. We also (2) performed decision curve analysis at various times to determine whether and how PATHFx should be used clinically at those times. PATIENTS AND METHODS: A Bayesian model is a statistical method to explore conditional, probabilistic relationships between variables to estimate the likelihood of an outcome using observed data. We applied the PATHFx Bayesian models to an independent dataset containing the records of patients who underwent skeletal stabilization for metastatic bone disease at one of five Japanese referral centers and had a followup longer than 12 months for survivors. Of 270 patients in the database, we excluded nine patients from analysis because their followup was less than 12 months, and finally we included 261 patients in the analysis. Data examined included age at the time of surgery, sex, indication for surgery (impending fracture or completed pathologic fracture), number of bone metastases (solitary or multiple), presence or absence of visceral or lymph node metastases, preoperative hemoglobin concentration, absolute lymphocyte count, and the primary oncologic diagnosis. We performed receiver operating characteristic curve analysis and estimated the AUC as a measure of discriminatory ability. Decision curve analysis was performed to determine if and how the models should be used in the clinical setting. RESULTS: The AUCs for the 1-, 3-, 6-, and 12-month models were 0.77 (95% CI, 0.63-0.86), 0.80 (95% CI, 0.72-0.87), 0.83 (95% CI, 0.77-0.89), and 0.80 (95% CI, 0.75-0.86), respectively. Decision analysis indicated that the models conferred a positive net benefit (above the lines assuming none or all survive at each time) although the CIs of the AUC for 1 month were wide, suggesting that this dataset could not adequately predict 1-month survival. CONCLUSIONS: Our findings show PATHFx is suitable for clinical use in Japan and may be used to guide surgical decision making or as a risk stratification method in support of clinical trials involving Japanese patients at 3, 6, and 12 months. More studies will be necessary to confirm the validity of the 1-month survival predictions of this mode. Other patient populations will need to be studied to confirm its usefulness in other non-Western and non-Japanese populations. LEVEL OF EVIDENCE: Level II, prognostic study.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree true
44 schema:isPartOf Na53c6f551e3b422bbfada5cfeef521ac
45 Ne9a7161601854e8abf8d1dca96ffd6ad
46 sg:journal.1007212
47 schema:name Can A Multivariate Model for Survival Estimation in Skeletal Metastases (PATHFx) Be Externally Validated Using Japanese Patients?
48 schema:pagination 2263-2270
49 schema:productId N6446b6454b794d698b5ff1f10e4bc5ea
50 N812e64a9c68040b39c8d240e8007fe92
51 Ne38f8744c85f4623af91bd01a02ae43e
52 Neaffd267341548f49bda0a5114455e8c
53 Nf277ad5def26458ea934735f243ad9d5
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085723321
55 https://doi.org/10.1007/s11999-017-5389-3
56 schema:sdDatePublished 2019-04-11T10:34
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N61ae7f8c67304b229c3f9320e71fc14f
59 schema:url https://link.springer.com/10.1007%2Fs11999-017-5389-3
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N03c60d11ce7b4453b410d00fbf26fdbb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name ROC Curve
65 rdf:type schema:DefinedTerm
66 N0ffa8a13b2c54292970f7de91e655de3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Humans
68 rdf:type schema:DefinedTerm
69 N1a8709e32b7f4599818960bd0713d0a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Kaplan-Meier Estimate
71 rdf:type schema:DefinedTerm
72 N2b1cb61c97ed4f279202aa5a8f67b5cd rdf:first sg:person.0603573451.25
73 rdf:rest N3730c8ccc7094e17a2fa7b57bdf0b806
74 N306df35bbb57400088b138ff9fc23297 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Risk Assessment
76 rdf:type schema:DefinedTerm
77 N35d3b50afb1d466c9cefd10ffa02aabc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Japan
79 rdf:type schema:DefinedTerm
80 N3730c8ccc7094e17a2fa7b57bdf0b806 rdf:first sg:person.0710743363.22
81 rdf:rest rdf:nil
82 N40cf7b09252d41b29e225b6882aa73fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Middle Aged
84 rdf:type schema:DefinedTerm
85 N41b855f4d22242acbc9f3d2412c747b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Follow-Up Studies
87 rdf:type schema:DefinedTerm
88 N5289cbbdb43847afb6b63e083eea3d69 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Retrospective Studies
90 rdf:type schema:DefinedTerm
91 N54e6289f3b72455a9a13514796852045 rdf:first sg:person.01142751450.24
92 rdf:rest N8dd34ac526d143beb021dd53e56638c9
93 N58a4135e939f4e22bfc8e7d50b47956b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Bone Neoplasms
95 rdf:type schema:DefinedTerm
96 N5a3252a9c08f452eb9d95dd7519c1149 rdf:first sg:person.01362310521.02
97 rdf:rest Nec84137fdfe74f1d82867ccd4045d34f
98 N61ae7f8c67304b229c3f9320e71fc14f schema:name Springer Nature - SN SciGraph project
99 rdf:type schema:Organization
100 N63538ce2be5e477dbe27d6c503635a66 rdf:first sg:person.01251361305.44
101 rdf:rest N54e6289f3b72455a9a13514796852045
102 N6446b6454b794d698b5ff1f10e4bc5ea schema:name nlm_unique_id
103 schema:value 0075674
104 rdf:type schema:PropertyValue
105 N6a732ff50a2d461ca05cccb04cdf95fe rdf:first N7ca645d0dbba4d1ea2f638ac44e2ccc5
106 rdf:rest N5a3252a9c08f452eb9d95dd7519c1149
107 N6cb724822499434a8cdd706b9591e489 schema:name Section of Orthopaedics and Sports Medicine, Department of Molecular Medicine and Surgery, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
108 rdf:type schema:Organization
109 N76e34cfb99bd444582eaedcc3ef5098f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Bayes Theorem
111 rdf:type schema:DefinedTerm
112 N77957ff2b7744edba7f2f31cf6bc68e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Predictive Value of Tests
114 rdf:type schema:DefinedTerm
115 N780bffd045f8474b8525c8066dc406d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Multivariate Analysis
117 rdf:type schema:DefinedTerm
118 N7ca645d0dbba4d1ea2f638ac44e2ccc5 schema:affiliation https://www.grid.ac/institutes/grid.411966.d
119 schema:familyName Takagi
120 schema:givenName Tatsuya
121 rdf:type schema:Person
122 N812e64a9c68040b39c8d240e8007fe92 schema:name dimensions_id
123 schema:value pub.1085723321
124 rdf:type schema:PropertyValue
125 N8dd34ac526d143beb021dd53e56638c9 rdf:first sg:person.010747227045.65
126 rdf:rest N9279dcef081549708c372b046254122d
127 N9279dcef081549708c372b046254122d rdf:first sg:person.01207525031.46
128 rdf:rest N6a732ff50a2d461ca05cccb04cdf95fe
129 Na53c6f551e3b422bbfada5cfeef521ac schema:issueNumber 9
130 rdf:type schema:PublicationIssue
131 Nb7e35070145e40d5945a4e226ff35fdb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Male
133 rdf:type schema:DefinedTerm
134 Nbda8c1024d9a402ea36c5b34887ff296 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Female
136 rdf:type schema:DefinedTerm
137 Nc211600298704c2a9a95a587243781f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Decision Support Techniques
139 rdf:type schema:DefinedTerm
140 Ndccdb85e5b7f4320a98c75c9cfba6c9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Prognosis
142 rdf:type schema:DefinedTerm
143 Ne38f8744c85f4623af91bd01a02ae43e schema:name doi
144 schema:value 10.1007/s11999-017-5389-3
145 rdf:type schema:PropertyValue
146 Ne57d9caa17d94ee6a53d937383992b5c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Aged
148 rdf:type schema:DefinedTerm
149 Ne7743739908d4267821b9a0ee1893033 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Area Under Curve
151 rdf:type schema:DefinedTerm
152 Ne9a7161601854e8abf8d1dca96ffd6ad schema:volumeNumber 475
153 rdf:type schema:PublicationVolume
154 Neaffd267341548f49bda0a5114455e8c schema:name readcube_id
155 schema:value 9fdb46146a49fe310339c527833da79397798b056dd6d013087d9777b0e60e00
156 rdf:type schema:PropertyValue
157 Neb10c9ddd20c41d09dfd2ee73d44d3e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Databases, Factual
159 rdf:type schema:DefinedTerm
160 Nec84137fdfe74f1d82867ccd4045d34f rdf:first sg:person.0741153364.73
161 rdf:rest N2b1cb61c97ed4f279202aa5a8f67b5cd
162 Nf277ad5def26458ea934735f243ad9d5 schema:name pubmed_id
163 schema:value 28560532
164 rdf:type schema:PropertyValue
165 Nf39fadf27a9843219624724950ae2e53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Models, Statistical
167 rdf:type schema:DefinedTerm
168 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
169 schema:name Medical and Health Sciences
170 rdf:type schema:DefinedTerm
171 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
172 schema:name Clinical Sciences
173 rdf:type schema:DefinedTerm
174 sg:journal.1007212 schema:issn 0009-921X
175 1528-1132
176 schema:name Clinical Orthopaedics and Related Research®
177 rdf:type schema:Periodical
178 sg:person.010747227045.65 schema:affiliation https://www.grid.ac/institutes/grid.412708.8
179 schema:familyName Shinoda
180 schema:givenName Yusuke
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010747227045.65
182 rdf:type schema:Person
183 sg:person.01142751450.24 schema:affiliation https://www.grid.ac/institutes/grid.486756.e
184 schema:familyName Gokita
185 schema:givenName Tabu
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142751450.24
187 rdf:type schema:Person
188 sg:person.01207525031.46 schema:affiliation https://www.grid.ac/institutes/grid.412305.1
189 schema:familyName Kawano
190 schema:givenName Hirotaka
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207525031.46
192 rdf:type schema:Person
193 sg:person.01251361305.44 schema:affiliation https://www.grid.ac/institutes/grid.412708.8
194 schema:familyName Ogura
195 schema:givenName Koichi
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251361305.44
197 rdf:type schema:Person
198 sg:person.01362310521.02 schema:affiliation https://www.grid.ac/institutes/grid.486756.e
199 schema:familyName Ae
200 schema:givenName Keisuke
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362310521.02
202 rdf:type schema:Person
203 sg:person.0603573451.25 schema:affiliation N6cb724822499434a8cdd706b9591e489
204 schema:familyName Wedin
205 schema:givenName Rikard
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603573451.25
207 rdf:type schema:Person
208 sg:person.0710743363.22 schema:affiliation https://www.grid.ac/institutes/grid.414467.4
209 schema:familyName Forsberg
210 schema:givenName Jonathan A.
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710743363.22
212 rdf:type schema:Person
213 sg:person.0741153364.73 schema:affiliation https://www.grid.ac/institutes/grid.272242.3
214 schema:familyName Kawai
215 schema:givenName Akira
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741153364.73
217 rdf:type schema:Person
218 sg:pub.10.1007/s11999-016-5187-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036133200
219 https://doi.org/10.1007/s11999-016-5187-3
220 rdf:type schema:CreativeWork
221 sg:pub.10.1186/1471-2407-12-493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043094240
222 https://doi.org/10.1186/1471-2407-12-493
223 rdf:type schema:CreativeWork
224 sg:pub.10.1186/s12885-015-1396-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007849590
225 https://doi.org/10.1186/s12885-015-1396-5
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1001/jama.279.21.1709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008369019
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1002/cam4.292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025617908
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1002/cncr.11039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023698407
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1002/cncr.24628 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042375183
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1007/s11999-016-5187-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036133200
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1080/00016470410001708270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046640520
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1097/01.brs.0000180401.06919.a5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010960861
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1177/0272989x06295361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017511050
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1302/0301-620x.87b5.15185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023625179
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1371/journal.pone.0019956 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041438274
246 rdf:type schema:CreativeWork
247 https://doi.org/10.3109/17453679508995508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002709049
248 rdf:type schema:CreativeWork
249 https://www.grid.ac/institutes/grid.272242.3 schema:alternateName National Cancer Centre
250 schema:name Department of Musculoskeletal Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, 104-0045, Tokyo, Japan
251 rdf:type schema:Organization
252 https://www.grid.ac/institutes/grid.411966.d schema:alternateName Juntendo University Hospital
253 schema:name Department of Orthopaedic Surgery, Juntendo University Hospital, Tokyo, Japan
254 rdf:type schema:Organization
255 https://www.grid.ac/institutes/grid.412305.1 schema:alternateName Teikyo University Hospital
256 schema:name Department of Orthopaedic Surgery, Teikyo University Hospital, Tokyo, Japan
257 rdf:type schema:Organization
258 https://www.grid.ac/institutes/grid.412708.8 schema:alternateName University of Tokyo Hospital
259 schema:name Department of Musculoskeletal Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, 104-0045, Tokyo, Japan
260 Department of Orthopaedic Surgery, The University of Tokyo Hospital, Tokyo, Japan
261 rdf:type schema:Organization
262 https://www.grid.ac/institutes/grid.414467.4 schema:alternateName Walter Reed National Military Medical Center
263 schema:name Orthopaedics, Department of Surgery, Uniformed Services University-Walter Reed National Military Medical Center, Bethesda, MD, USA
264 Section of Orthopaedics and Sports Medicine, Department of Molecular Medicine and Surgery, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
265 rdf:type schema:Organization
266 https://www.grid.ac/institutes/grid.486756.e schema:alternateName The Cancer Institute Hospital
267 schema:name Department of Orthopaedic Surgery, Cancer Institute Hospital, Tokyo, Japan
268 rdf:type schema:Organization
 




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


...