Developing an Evidence-based Followup Schedule for Bone Sarcomas Based on Local Recurrence and Metastatic Progression
Notice bibliographique
Résumé
BACKGROUND: The potential for local recurrence and pulmonary metastasis after treatment of primary bone sarcomas necessitates careful patient followup; however, minimal data exist regarding the incidence and timing of these events, and therefore an evidence-based surveillance protocol has not been developed. QUESTIONS/PURPOSES: The purposes of this study were to (1) describe the frequency and timing of local recurrence by histologic grade over time; (2) describe the frequency and timing of metastasis by histologic grade and diagnosis over time; and (3) use these data to either justify current surveillance schedules and/or propose modifications that may improve the rate of new pulmonary metastatic events detected per examination. METHODS: A retrospective review was performed of all patients who underwent resection of a primary, nonmetastatic bone sarcoma (excluding chordoma) at a single tertiary oncology center from 1989 to 2010. Of the 680 patients identified, 15 were excluded for loss of followup in the first 2 years, leaving 665 eligible for study. Of these, 437 patients were alive with no evidence of disease at the conclusion of the study (mean followup, 136 months; range, 25-321 months). Cox regression analysis was performed to evaluate and control for patient age, tumor size, tumor location, and surgical margins. With patients stratified by sarcoma grade, Kaplan-Meier survival curves were constructed for the endpoints of local recurrence and metastasis, and log-rank tests were used to compare the rates of these events between grades and diagnoses. The number of new pulmonary metastatic events per patient-year was calculated for each sarcoma grade over the time intervals used in current surveillance protocols (0-2, 2-5, 5-10, and > 10 years) to facilitate development of a surveillance schedule that would maximize events detected per imaging study performed. In addition, to determine the effect of disease type, subset analysis was performed for osteosarcoma (OSA) and chondrosarcoma because these were the only diagnoses with sufficient numbers to support individual statistical analysis. RESULTS: With the numbers available for study, the overall local recurrence-free survival did not differ between sarcoma grades at any time points (p = 0.864). Metastasis-free survival curves differed between sarcoma grades (p < 0.001), and the pattern of Grade 2 OSA metastasis was more consistent with other Grade 3 sarcomas, so it was subsequently classified as high grade. No metastases of Grade 1 sarcomas occurred after 3 years, whereas Grade 2 and 3 sarcomas continued to metastasize until 10 years and rarely thereafter. According to the number of new pulmonary metastatic events per patient-year in each group, we propose that chest surveillance be performed according to the following schedule: annually only until 5 years for low-grade sarcomas; every 3 months for 2 years and annually from 2 to 10 years for intermediate-grade sarcomas; and every 3 months for 2 years, every 6 months from 2 to 5 years, and annually from 5 to 10 years for high-grade sarcomas. CONCLUSIONS: Pulmonary screening beyond 5 years may not be necessary for Grade 1 tumors but should be continued until 10 years for Grade 2 and 3 bone sarcomas. The surveillance frequency listed here, which is based on the number of new pulmonary metastatic events per patient-year in each grade, would increase the number of such events detected per examination performed. LEVEL OF EVIDENCE: Level III, therapeutic study.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,096 | 0,151 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,009 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».