The distress thermometer as a prognostic tool for one-year survival among patients with lung cancer
•Patient-reported outcome measures are increasingly integrated in cancer care.•We studied the added prognostic value of the Distress Thermometer.•The Distress Thermometer score may be an important predictor of one-year survival.•Routine use of the Distress Thermometer allows clinicians to better per...
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| Veröffentlicht in: | Lung cancer (Amsterdam, Netherlands) Netherlands), 2019-04, Vol.130, p.101-107 |
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| creator | Geerse, O.P. Brandenbarg, D. Kerstjens, H.A.M. Berendsen, A.J. Duijts, S.F.A. Burger, H. Holtman, G.A. Hoekstra-Weebers, J.E.H.M. Hiltermann, T.J.N. |
| description | •Patient-reported outcome measures are increasingly integrated in cancer care.•We studied the added prognostic value of the Distress Thermometer.•The Distress Thermometer score may be an important predictor of one-year survival.•Routine use of the Distress Thermometer allows clinicians to better personalize care.
The use of patient-reported outcome measures is increasingly advocated to support high-quality cancer care. We therefore investigated the added value of the Distress Thermometer (DT) when combined with known predictors to assess one-year survival in patients with lung cancer.
All patients had newly diagnosed or recurrent lung cancer, started systemic treatment, and participated in the intervention arm of a previously published randomised controlled trial. A Cox proportional hazards model was fitted based on five selected known predictors for survival. The DT-score was added to this model and contrasted to models including the EORTC-QLQ-C30 global QoL score (quality of life) or the HADS total score (symptoms of anxiety and depression). Model performance was evaluated through improvement in the -2 log likelihood, Harrell’s C-statistic, and a risk classification.
In total, 110 patients were included in the analysis of whom 97 patients accurately completed the DT. Patients with a DT score ≥5 (N = 51) had a lower QoL, more symptoms of anxiety and depression, and a shorter median survival time (7.6 months vs 10.0 months; P = 0.02) than patients with a DT score |
| doi_str_mv | 10.1016/j.lungcan.2019.02.008 |
| format | Article |
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The use of patient-reported outcome measures is increasingly advocated to support high-quality cancer care. We therefore investigated the added value of the Distress Thermometer (DT) when combined with known predictors to assess one-year survival in patients with lung cancer.
All patients had newly diagnosed or recurrent lung cancer, started systemic treatment, and participated in the intervention arm of a previously published randomised controlled trial. A Cox proportional hazards model was fitted based on five selected known predictors for survival. The DT-score was added to this model and contrasted to models including the EORTC-QLQ-C30 global QoL score (quality of life) or the HADS total score (symptoms of anxiety and depression). Model performance was evaluated through improvement in the -2 log likelihood, Harrell’s C-statistic, and a risk classification.
In total, 110 patients were included in the analysis of whom 97 patients accurately completed the DT. Patients with a DT score ≥5 (N = 51) had a lower QoL, more symptoms of anxiety and depression, and a shorter median survival time (7.6 months vs 10.0 months; P = 0.02) than patients with a DT score <5 (N = 46). Addition of the DT resulted in a significant improvement in the accuracy of the model to predict one-year survival (P < 0.001) and the discriminatory value (C-statistic) marginally improved from 0.69 to 0.71. The proportion of patients correctly classified as high risk (≥85% risk of dying within one year) increased from 8% to 28%. Similar model performance was observed when combining the selected predictors with QoL and symptoms of anxiety or depression.
Use of the DT allows clinicians to better identify patients with lung cancer at risk for poor outcomes, to further explore sources of distress, and subsequently personalize care accordingly.</description><identifier>ISSN: 0169-5002</identifier><identifier>EISSN: 1872-8332</identifier><identifier>DOI: 10.1016/j.lungcan.2019.02.008</identifier><identifier>PMID: 30885329</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Aged ; Biomarkers, Tumor ; Clinical Decision-Making ; Distress thermometer ; Female ; Humans ; Lung neoplasm ; Lung Neoplasms - diagnosis ; Lung Neoplasms - mortality ; Lung Neoplasms - psychology ; Male ; Middle Aged ; Outcomes research ; Patient Reported Outcome Measures ; Patient Selection ; Precision Medicine ; Predictive Value of Tests ; Prognosis ; Prognostic tool ; Risk ; Surveys and Questionnaires ; Survival ; Survival Analysis ; Visual Analog Scale</subject><ispartof>Lung cancer (Amsterdam, Netherlands), 2019-04, Vol.130, p.101-107</ispartof><rights>2019 The Author(s)</rights><rights>Copyright © 2019 The Author(s). Published by Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c467t-ad871495d2180acbbcab779041bbbe6288e46077f8e4cedbc9662ed8328cfaf53</citedby><cites>FETCH-LOGICAL-c467t-ad871495d2180acbbcab779041bbbe6288e46077f8e4cedbc9662ed8328cfaf53</cites><orcidid>0000-0002-0665-2160 ; 0000-0001-8864-4887</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.lungcan.2019.02.008$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30885329$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Geerse, O.P.</creatorcontrib><creatorcontrib>Brandenbarg, D.</creatorcontrib><creatorcontrib>Kerstjens, H.A.M.</creatorcontrib><creatorcontrib>Berendsen, A.J.</creatorcontrib><creatorcontrib>Duijts, S.F.A.</creatorcontrib><creatorcontrib>Burger, H.</creatorcontrib><creatorcontrib>Holtman, G.A.</creatorcontrib><creatorcontrib>Hoekstra-Weebers, J.E.H.M.</creatorcontrib><creatorcontrib>Hiltermann, T.J.N.</creatorcontrib><title>The distress thermometer as a prognostic tool for one-year survival among patients with lung cancer</title><title>Lung cancer (Amsterdam, Netherlands)</title><addtitle>Lung Cancer</addtitle><description>•Patient-reported outcome measures are increasingly integrated in cancer care.•We studied the added prognostic value of the Distress Thermometer.•The Distress Thermometer score may be an important predictor of one-year survival.•Routine use of the Distress Thermometer allows clinicians to better personalize care.
The use of patient-reported outcome measures is increasingly advocated to support high-quality cancer care. We therefore investigated the added value of the Distress Thermometer (DT) when combined with known predictors to assess one-year survival in patients with lung cancer.
All patients had newly diagnosed or recurrent lung cancer, started systemic treatment, and participated in the intervention arm of a previously published randomised controlled trial. A Cox proportional hazards model was fitted based on five selected known predictors for survival. The DT-score was added to this model and contrasted to models including the EORTC-QLQ-C30 global QoL score (quality of life) or the HADS total score (symptoms of anxiety and depression). Model performance was evaluated through improvement in the -2 log likelihood, Harrell’s C-statistic, and a risk classification.
In total, 110 patients were included in the analysis of whom 97 patients accurately completed the DT. Patients with a DT score ≥5 (N = 51) had a lower QoL, more symptoms of anxiety and depression, and a shorter median survival time (7.6 months vs 10.0 months; P = 0.02) than patients with a DT score <5 (N = 46). Addition of the DT resulted in a significant improvement in the accuracy of the model to predict one-year survival (P < 0.001) and the discriminatory value (C-statistic) marginally improved from 0.69 to 0.71. The proportion of patients correctly classified as high risk (≥85% risk of dying within one year) increased from 8% to 28%. Similar model performance was observed when combining the selected predictors with QoL and symptoms of anxiety or depression.
Use of the DT allows clinicians to better identify patients with lung cancer at risk for poor outcomes, to further explore sources of distress, and subsequently personalize care accordingly.</description><subject>Aged</subject><subject>Biomarkers, Tumor</subject><subject>Clinical Decision-Making</subject><subject>Distress thermometer</subject><subject>Female</subject><subject>Humans</subject><subject>Lung neoplasm</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Lung Neoplasms - mortality</subject><subject>Lung Neoplasms - psychology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Outcomes research</subject><subject>Patient Reported Outcome Measures</subject><subject>Patient Selection</subject><subject>Precision Medicine</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Prognostic tool</subject><subject>Risk</subject><subject>Surveys and Questionnaires</subject><subject>Survival</subject><subject>Survival Analysis</subject><subject>Visual Analog Scale</subject><issn>0169-5002</issn><issn>1872-8332</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU9v2zAMxYVixZql-wgddOzFHiX_kXzZMBRtN6BAL-lZkGU6UWBbmSSn6LevgqTFetqJBz4-PvJHyBWDnAGrv2_zYZ7WRk85B9bkwHMAeUYWTAqeyaLgn8gi6ZqsAuAX5EsIWwAmGDSfyUUBUlYFbxbErDZIOxuixxBo3KAf3YgRPdWBarrzbj25EK2h0bmB9s5TN2H2gtrTMPu93euB6tFNa7rT0eIUA322cUMP6WiKZ9BfkvNeDwG_nuqSPN3drm5-Zw-P939ufj1kpqxFzHQnBSubquNMgjZta3QrRAMla9sWay4lljUI0adqsGtNU9ccO1lwaXrdV8WS_Dj67uZ2xM6kMF4PauftqP2Lctqqj53JbtTa7ZUAnqx4Mrg-GXj3d8YQ1WiDwWHQE7o5KM6akhUVSJak1VFqvAvBY_--hoE6AFJbdQKkDoAUcJUApblv_2Z8n3ojkgQ_jwJMn9pb9CqY9NZ0sPVoouqc_c-KV03iqBo</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Geerse, O.P.</creator><creator>Brandenbarg, D.</creator><creator>Kerstjens, H.A.M.</creator><creator>Berendsen, A.J.</creator><creator>Duijts, S.F.A.</creator><creator>Burger, H.</creator><creator>Holtman, G.A.</creator><creator>Hoekstra-Weebers, J.E.H.M.</creator><creator>Hiltermann, T.J.N.</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0665-2160</orcidid><orcidid>https://orcid.org/0000-0001-8864-4887</orcidid></search><sort><creationdate>20190401</creationdate><title>The distress thermometer as a prognostic tool for one-year survival among patients with lung cancer</title><author>Geerse, O.P. ; Brandenbarg, D. ; Kerstjens, H.A.M. ; Berendsen, A.J. ; Duijts, S.F.A. ; Burger, H. ; Holtman, G.A. ; Hoekstra-Weebers, J.E.H.M. ; Hiltermann, T.J.N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c467t-ad871495d2180acbbcab779041bbbe6288e46077f8e4cedbc9662ed8328cfaf53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Biomarkers, Tumor</topic><topic>Clinical Decision-Making</topic><topic>Distress thermometer</topic><topic>Female</topic><topic>Humans</topic><topic>Lung neoplasm</topic><topic>Lung Neoplasms - diagnosis</topic><topic>Lung Neoplasms - mortality</topic><topic>Lung Neoplasms - psychology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Outcomes research</topic><topic>Patient Reported Outcome Measures</topic><topic>Patient Selection</topic><topic>Precision Medicine</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Prognostic tool</topic><topic>Risk</topic><topic>Surveys and Questionnaires</topic><topic>Survival</topic><topic>Survival Analysis</topic><topic>Visual Analog Scale</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Geerse, O.P.</creatorcontrib><creatorcontrib>Brandenbarg, D.</creatorcontrib><creatorcontrib>Kerstjens, H.A.M.</creatorcontrib><creatorcontrib>Berendsen, A.J.</creatorcontrib><creatorcontrib>Duijts, S.F.A.</creatorcontrib><creatorcontrib>Burger, H.</creatorcontrib><creatorcontrib>Holtman, G.A.</creatorcontrib><creatorcontrib>Hoekstra-Weebers, J.E.H.M.</creatorcontrib><creatorcontrib>Hiltermann, T.J.N.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Lung cancer (Amsterdam, Netherlands)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Geerse, O.P.</au><au>Brandenbarg, D.</au><au>Kerstjens, H.A.M.</au><au>Berendsen, A.J.</au><au>Duijts, S.F.A.</au><au>Burger, H.</au><au>Holtman, G.A.</au><au>Hoekstra-Weebers, J.E.H.M.</au><au>Hiltermann, T.J.N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The distress thermometer as a prognostic tool for one-year survival among patients with lung cancer</atitle><jtitle>Lung cancer (Amsterdam, Netherlands)</jtitle><addtitle>Lung Cancer</addtitle><date>2019-04-01</date><risdate>2019</risdate><volume>130</volume><spage>101</spage><epage>107</epage><pages>101-107</pages><issn>0169-5002</issn><eissn>1872-8332</eissn><abstract>•Patient-reported outcome measures are increasingly integrated in cancer care.•We studied the added prognostic value of the Distress Thermometer.•The Distress Thermometer score may be an important predictor of one-year survival.•Routine use of the Distress Thermometer allows clinicians to better personalize care.
The use of patient-reported outcome measures is increasingly advocated to support high-quality cancer care. We therefore investigated the added value of the Distress Thermometer (DT) when combined with known predictors to assess one-year survival in patients with lung cancer.
All patients had newly diagnosed or recurrent lung cancer, started systemic treatment, and participated in the intervention arm of a previously published randomised controlled trial. A Cox proportional hazards model was fitted based on five selected known predictors for survival. The DT-score was added to this model and contrasted to models including the EORTC-QLQ-C30 global QoL score (quality of life) or the HADS total score (symptoms of anxiety and depression). Model performance was evaluated through improvement in the -2 log likelihood, Harrell’s C-statistic, and a risk classification.
In total, 110 patients were included in the analysis of whom 97 patients accurately completed the DT. Patients with a DT score ≥5 (N = 51) had a lower QoL, more symptoms of anxiety and depression, and a shorter median survival time (7.6 months vs 10.0 months; P = 0.02) than patients with a DT score <5 (N = 46). Addition of the DT resulted in a significant improvement in the accuracy of the model to predict one-year survival (P < 0.001) and the discriminatory value (C-statistic) marginally improved from 0.69 to 0.71. The proportion of patients correctly classified as high risk (≥85% risk of dying within one year) increased from 8% to 28%. Similar model performance was observed when combining the selected predictors with QoL and symptoms of anxiety or depression.
Use of the DT allows clinicians to better identify patients with lung cancer at risk for poor outcomes, to further explore sources of distress, and subsequently personalize care accordingly.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>30885329</pmid><doi>10.1016/j.lungcan.2019.02.008</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-0665-2160</orcidid><orcidid>https://orcid.org/0000-0001-8864-4887</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Lung cancer (Amsterdam, Netherlands), 2019-04, Vol.130, p.101-107 |
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| subjects | Aged Biomarkers, Tumor Clinical Decision-Making Distress thermometer Female Humans Lung neoplasm Lung Neoplasms - diagnosis Lung Neoplasms - mortality Lung Neoplasms - psychology Male Middle Aged Outcomes research Patient Reported Outcome Measures Patient Selection Precision Medicine Predictive Value of Tests Prognosis Prognostic tool Risk Surveys and Questionnaires Survival Survival Analysis Visual Analog Scale |
| title | The distress thermometer as a prognostic tool for one-year survival among patients with lung cancer |
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