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Enregistrement W2334287982 · doi:10.1097/01.cot.0000387941.00866.73

Survivorship: Improving the ‘Handoff’

2010· article· en· W2334287982 sur OpenAlexaboutno aff
Robert H. Carlson

Notice bibliographique

RevueOncology Times · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer survivorship and care
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSurvivorship curveGuidelineSession (web analytics)MedicineHealth careFamily medicineCancer survivorCancerNursingPolitical science

Résumé

récupéré en direct d'OpenAlex

CHICAGO—As more cancer survivors achieve long-term remission, the challenges of survivorship care—i.e., caring for patients after cancer treatment has ended—become greater for most oncologists. One challenge discussed here at the ASCO Annual Meeting in a special session is the difficulty of segueing from management of cancer to long-term patient care. Fumbling the Handoff The survivorship issue is relatively new to ASCO, noted Douglas Blayney, MD, ASCO’s 2009-10 President. The Annual Meeting has had sessions devoted to survivorship only since 2003, when the grand total of information devoted to that topic was one Education Session. In contrast, this year’s meeting had 14 sessions devoted to aspects of survivorship, including three Patient and Survivor Care abstract sessions. Dr. Blayney said that ASCO is well aware that there are shortcomings in resources oncologists can call on in the transition from cancer treatment to survivorship care. He called this a “fumbled handoff,” to use a football term, when there is poor coordination of cancer care among oncologists, primary care physicians, nurses, and other health care providers. There is a lack of a solid knowledge base to support follow-up care guidelines—”It turns out that there is not enough high-quality evidence demonstrating the optimal use of patients’ and physicians’ time and resources,” he said. Guideline-Development Process ASCO’s guideline-development process is reliant on high-quality randomized clinical trial evidence, but when the Society tried to apply that mechanism, looking for evidence and surveillance on cardiac, pulmonary, or fertility problems cancer survivors may have, the data were not there. “We’ve published guidelines on fertility preservation, but the cardiovascular and pulmonary guideline panel work did not result in formal ASCO guidelines, and neither did the hormone-deficiency panel,” he said. Secondary malignancies and psychosocial effects in long-term survivors are also areas where additional guidance is needed. “There is a paucity of evidence from controlled, clinical trials, and ASCO needs to reexamine the ‘guideline’ process in survivorship. “Our current process does not allow us to produce guidelines for this kind of treatment in survivorship,” he continued. Added to that is a lack of evidence-based cancer-prevention strategies. In answer to this, Dr. Blayney said ASCO is promoting survivorship care research in its journals, enhancing survivorship in its scientific programs to include survivorship tracks, and strengthening representation for survivorship on the scientific program committees. Currently there are ASCO treatment plans and summary templates for breast cancer, colon cancer, non-small-cell lung cancer, small-cell lung cancer, and lymphoma, as well as a generic plan. Poorly Equipped, in Short Supply Dr. Blayney said ASCO studies have shown that oncologists, particularly radiation oncologists and surgeons, are poorly equipped, or in short supply, to make meaningful interventions. “People of our generation were not trained to deal with survivors,” he said. Meanwhile, “cardiologists and pulmonologists don’t see themselves involved in long-term care of cancer survivors, not until the patient actually develops symptomatic problems,” he said. “Surveillance on long-term cancer survivors is not what the other physicians want to do.” Guidelines from other medical specialties, such as cardiology and pulmonology, have not been that useful in drafting oncology survivorship guidelines, he said. “The oncologist is the best equipped of anybody to know what’s going on [in survivorship]. But even for oncologists who have an interest in—and at many times a personal relationship with—long-term survivors, our equipment needs to be better.” Key Questions Dr. Blayney listed some of the important questions that need to be addressed: What impact does the expansion of survivorship services have on the oncology business model? When do patients “graduate” from oncology care? This is highly variable, he said, depending to a great extent on geography and proximity to the medical provider. Who will provide this long-term care? Dr. Blayney said baseline projections reveal significant provider shortages by the year 2020. Cancer survivors are a homogeneous lot, and while survivors age 70 and older not surprisingly make up about 50% of the total, 22% are age 60 to 69, 16% are 50 to 59; 8% are 40 to 49, 4% are 30 to 39%, and 1% are 29 and younger, he said—”And each of these groups has their own survivorship issues.” DOUGLAS BLAYNEY, MD, said that although ASCO has published guidelines on fertility preservation, the cardiovascular and pulmonary guideline panel work did not result in any formal ASCO guidelines, and neither did the hormone-deficiency panel—”It turns out that there is not enough high-quality evidence demonstrating the optimal use of patients’ and physicians’ time and resources.”But Good News, in a Way Another speaker, Eva Grunfeld, MD, DPhil, Clinical Scientist and Director of the Knowledge Translation Research Network, Health Services Research Program, at Ontario Institute for Cancer Research, said that talking about cancer survivorship is a good news story because people are now less focused on just survival and they’re thinking about the survivorship. “It reflects the fact that the majority of people diagnosed with cancer today will be long-term survivors,” she said. “Twenty years ago, once a patient had been diagnosed with cancer or after treatment was completed, we were focused on their survival. “Now we’re concerned with survivorship—their quality of life and other medical conditions that need attention. And we’re aware that they are candidates for other preventive maneuvers.”

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,849
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,288
Écart entre enseignants0,275 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2010
Routes d'admission1
Résumé présentoui

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