Are we ready to predict late effects? A systematic review of clinically useful prediction models
Identifieur interne : 002130 ( Main/Exploration ); précédent : 002129; suivant : 002131Are we ready to predict late effects? A systematic review of clinically useful prediction models
Auteurs : Talya Salz [États-Unis] ; Shrujal S. Baxi [États-Unis] ; Nirupa Raghunathan [États-Unis] ; Erin E. Onstad [États-Unis] ; Andrew N. Freedman [États-Unis] ; Chaya S. Moskowitz [États-Unis] ; Susanne O. Dalton [Danemark] ; Karyn A. Goodman [États-Unis] ; Christoffer Johansen [Danemark] ; Matthew J. Matasar [États-Unis] ; Peter De Nully Brown [Danemark] ; Kevin C. Oeffinger [États-Unis] ; Andrew J. Vickers [États-Unis]Source :
- European journal of cancer (Oxford, England : 1990) [ 0959-8049 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- mortalité : Tumeurs.
- physiopathologie : Tumeurs.
- Humains, Modèles statistiques, Survivants, Techniques d'aide à la décision.
English descriptors
- KwdEn :
- MESH :
- mortality : Neoplasms.
- physiopathology : Neoplasms.
- Decision Support Techniques, Humans, Models, Statistical, Survivors.
Abstract
After completing treatment for cancer, survivors may experience late effects: consequences of treatment that persist or arise after a latent period.
To identify and describe all models that predict the risk of late effects and could be used in clinical practice.
We searched Medline through April 2014.
Studies describing models that 1) predicted the absolute risk of a late effect present at least one year post-treatment, and 2) could be used in a clinical setting.
Three authors independently extracted data pertaining to patient characteristics, late effects, the prediction model, and model evaluation.
Across fourteen studies identified for review, nine late effects were predicted: erectile dysfunction and urinary incontinence after prostate cancer; arm lymphedema, psychological morbidity, cardiomyopathy or heart failure, and cardiac event after breast cancer; swallowing dysfunction after head and neck cancer; breast cancer after Hodgkin lymphoma; and thyroid cancer after childhood cancer. Of these, four late effects are persistent effects of treatment and five appear after a latent period. Two studies were externally validated. Six studies were designed to inform decisions about treatment rather than survivorship care. Nomograms were the most common clinical output.
Despite the call among survivorship experts for risk stratification, few published models are useful for risk-stratifying prevention, early detection, or management of late effects. Few models address serious, modifiable late effects, limiting their utility. Cancer survivors would benefit from models focused on long-term, modifiable, serious late effects to inform the management of survivorship care.
Url:
DOI: 10.1016/j.ejca.2015.02.002
PubMed: 25736818
PubMed Central: 4518853
Affiliations:
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Le document en format XML
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Are we ready to predict late effects? A systematic review of clinically useful prediction models</title>
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<author><name sortKey="Moskowitz, Chaya S" sort="Moskowitz, Chaya S" uniqKey="Moskowitz C" first="Chaya S." last="Moskowitz">Chaya S. Moskowitz</name>
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<author><name sortKey="Dalton, Susanne O" sort="Dalton, Susanne O" uniqKey="Dalton S" first="Susanne O." last="Dalton">Susanne O. Dalton</name>
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<author><name sortKey="Goodman, Karyn A" sort="Goodman, Karyn A" uniqKey="Goodman K" first="Karyn A." last="Goodman">Karyn A. Goodman</name>
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<country xml:lang="fr">États-Unis</country>
<placeName><region type="state">État de New York</region>
</placeName>
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<author><name sortKey="Johansen, Christoffer" sort="Johansen, Christoffer" uniqKey="Johansen C" first="Christoffer" last="Johansen">Christoffer Johansen</name>
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<country xml:lang="fr">Danemark</country>
<wicri:regionArea>Danish Cancer Society Research Center, Copenhagen</wicri:regionArea>
<placeName><settlement type="city">Copenhague</settlement>
<region type="région" nuts="2">Hovedstaden</region>
</placeName>
</affiliation>
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<author><name sortKey="Matasar, Matthew J" sort="Matasar, Matthew J" uniqKey="Matasar M" first="Matthew J." last="Matasar">Matthew J. Matasar</name>
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<country xml:lang="fr">États-Unis</country>
<placeName><region type="state">État de New York</region>
</placeName>
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<author><name sortKey="Brown, Peter De Nully" sort="Brown, Peter De Nully" uniqKey="Brown P" first="Peter De Nully" last="Brown">Peter De Nully Brown</name>
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<author><name sortKey="Oeffinger, Kevin C" sort="Oeffinger, Kevin C" uniqKey="Oeffinger K" first="Kevin C." last="Oeffinger">Kevin C. Oeffinger</name>
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<country xml:lang="fr">États-Unis</country>
<placeName><region type="state">État de New York</region>
</placeName>
<wicri:cityArea>Memorial Sloan-Kettering Cancer Center; New York</wicri:cityArea>
</affiliation>
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<author><name sortKey="Vickers, Andrew J" sort="Vickers, Andrew J" uniqKey="Vickers A" first="Andrew J." last="Vickers">Andrew J. Vickers</name>
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<country xml:lang="fr">États-Unis</country>
<placeName><region type="state">État de New York</region>
</placeName>
<wicri:cityArea>Memorial Sloan-Kettering Cancer Center; New York</wicri:cityArea>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Decision Support Techniques</term>
<term>Humans</term>
<term>Models, Statistical</term>
<term>Neoplasms (mortality)</term>
<term>Neoplasms (physiopathology)</term>
<term>Survivors</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Humains</term>
<term>Modèles statistiques</term>
<term>Survivants</term>
<term>Techniques d'aide à la décision</term>
<term>Tumeurs (mortalité)</term>
<term>Tumeurs (physiopathologie)</term>
</keywords>
<keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Neoplasms</term>
</keywords>
<keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Tumeurs</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Tumeurs</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Neoplasms</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Decision Support Techniques</term>
<term>Humans</term>
<term>Models, Statistical</term>
<term>Survivors</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Humains</term>
<term>Modèles statistiques</term>
<term>Survivants</term>
<term>Techniques d'aide à la décision</term>
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<front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title>
<p id="P1">After completing treatment for cancer, survivors may experience late effects: consequences of treatment that persist or arise after a latent period.</p>
</sec>
<sec id="S2"><title>Purpose</title>
<p id="P2">To identify and describe all models that predict the risk of late effects and could be used in clinical practice.</p>
</sec>
<sec id="S3"><title>Data sources</title>
<p id="P3">We searched Medline through April 2014.</p>
</sec>
<sec id="S4"><title>Study selection</title>
<p id="P4">Studies describing models that 1) predicted the absolute risk of a late effect present at least one year post-treatment, and 2) could be used in a clinical setting.</p>
</sec>
<sec id="S5"><title>Data extraction</title>
<p id="P5">Three authors independently extracted data pertaining to patient characteristics, late effects, the prediction model, and model evaluation.</p>
</sec>
<sec id="S6"><title>Data synthesis</title>
<p id="P6">Across fourteen studies identified for review, nine late effects were predicted: erectile dysfunction and urinary incontinence after prostate cancer; arm lymphedema, psychological morbidity, cardiomyopathy or heart failure, and cardiac event after breast cancer; swallowing dysfunction after head and neck cancer; breast cancer after Hodgkin lymphoma; and thyroid cancer after childhood cancer. Of these, four late effects are persistent effects of treatment and five appear after a latent period. Two studies were externally validated. Six studies were designed to inform decisions about treatment rather than survivorship care. Nomograms were the most common clinical output.</p>
</sec>
<sec id="S7"><title>Conclusion</title>
<p id="P7">Despite the call among survivorship experts for risk stratification, few published models are useful for risk-stratifying prevention, early detection, or management of late effects. Few models address serious, modifiable late effects, limiting their utility. Cancer survivors would benefit from models focused on long-term, modifiable, serious late effects to inform the management of survivorship care.</p>
</sec>
</div>
</front>
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<affiliations><list><country><li>Danemark</li>
<li>États-Unis</li>
</country>
<region><li>Hovedstaden</li>
<li>Maryland</li>
<li>Massachusetts</li>
<li>État de New York</li>
</region>
<settlement><li>Copenhague</li>
</settlement>
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<tree><country name="États-Unis"><region name="État de New York"><name sortKey="Salz, Talya" sort="Salz, Talya" uniqKey="Salz T" first="Talya" last="Salz">Talya Salz</name>
</region>
<name sortKey="Baxi, Shrujal S" sort="Baxi, Shrujal S" uniqKey="Baxi S" first="Shrujal S." last="Baxi">Shrujal S. Baxi</name>
<name sortKey="Freedman, Andrew N" sort="Freedman, Andrew N" uniqKey="Freedman A" first="Andrew N." last="Freedman">Andrew N. Freedman</name>
<name sortKey="Goodman, Karyn A" sort="Goodman, Karyn A" uniqKey="Goodman K" first="Karyn A." last="Goodman">Karyn A. Goodman</name>
<name sortKey="Matasar, Matthew J" sort="Matasar, Matthew J" uniqKey="Matasar M" first="Matthew J." last="Matasar">Matthew J. Matasar</name>
<name sortKey="Moskowitz, Chaya S" sort="Moskowitz, Chaya S" uniqKey="Moskowitz C" first="Chaya S." last="Moskowitz">Chaya S. Moskowitz</name>
<name sortKey="Oeffinger, Kevin C" sort="Oeffinger, Kevin C" uniqKey="Oeffinger K" first="Kevin C." last="Oeffinger">Kevin C. Oeffinger</name>
<name sortKey="Onstad, Erin E" sort="Onstad, Erin E" uniqKey="Onstad E" first="Erin E." last="Onstad">Erin E. Onstad</name>
<name sortKey="Raghunathan, Nirupa" sort="Raghunathan, Nirupa" uniqKey="Raghunathan N" first="Nirupa" last="Raghunathan">Nirupa Raghunathan</name>
<name sortKey="Vickers, Andrew J" sort="Vickers, Andrew J" uniqKey="Vickers A" first="Andrew J." last="Vickers">Andrew J. Vickers</name>
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<country name="Danemark"><region name="Hovedstaden"><name sortKey="Dalton, Susanne O" sort="Dalton, Susanne O" uniqKey="Dalton S" first="Susanne O." last="Dalton">Susanne O. Dalton</name>
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<name sortKey="Brown, Peter De Nully" sort="Brown, Peter De Nully" uniqKey="Brown P" first="Peter De Nully" last="Brown">Peter De Nully Brown</name>
<name sortKey="Johansen, Christoffer" sort="Johansen, Christoffer" uniqKey="Johansen C" first="Christoffer" last="Johansen">Christoffer Johansen</name>
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