Application of CIBMTR risk score to NIH chronic GVHD at individual centers
Notice bibliographique
Résumé
To the editor: A new risk score to predict mortality in patients with chronic graft-versus-host disease (GVHD) was recently reported by Arora et al by analyzing a large amount of data between 1995 and 2004 from the Center for International Blood and Marrow Transplant Registry (CIBMTR).1 The risk score consists of 10 variables defined at transplantation or at onset of chronic GVHD that are objective and easy to evaluate at any transplant center. Because performance of this risk score has not been examined in contemporary patients with chronic GVHD defined by the National Institutes of Health (NIH) criteria2,3 and because experience with application of the score to patients at individual centers is limited, we examined performance of the risk score in 376 consecutive patients with leukemia or myelodysplastic syndrome who received initial systemic treatment of NIH chronic GVHD between 2006 and 2010 at 2 individual centers (Figure 1). Patients had given written consent allowing the use of medical records for research in accordance with the Declaration of Helsinki, and the institutional review boards at the Fred Hutchinson Cancer Research Center (FHCRC) and the Princess Margaret Hospital (PMH) approved the study. Figure 1 Application of the CIBMTR risk score to patients with systemically treated NIH chronic GVHD between 2006 and 2010 at 2 individual centers. Data represented includes (A) proportions of risk groups, (B) overall survival, and (C) non-relapse mortality. Diseases ... Compared with CIBMTR’s study, this contemporary cohort included higher proportions of patients ≥60 years of age and patients who received tacrolimus or T-cell depletion as GVHD prophylaxis and decreased proportions of patients with <5 months from transplantation to onset of chronic GVHD, hyperbilirubinemia, or thrombocytopenia. In contrast to the CIBMTR’s study, the current cohorts contained few patients in risk group 4 and no patients in risk group 5 or 6. In addition, most patients (70-80%) were classified as risk group 2 (Figure 1A). Overall survival (OS) was well stratified according to risk groups at both centers (Figure 1B), whereas nonrelapse mortality (NRM) was not well stratified at the FHCRC (Figure 1C). OS for risk group 1 was similar to CIBMTR results at both centers. Compared with CIBMTR results, OS for risk group 2 was slightly higher at FHCRC and slightly lower at PMH, and OS for risk group 3 was higher at FHCRC and much lower at PMH, despite favorable demographics at PMH. Compared with CIBMTR results, NRM for risk group 1 was slightly higher at FHCRC and similar at PMH, NRM for risk group 2 was similar at both centers, and NRM for risk group 3 was lower at FHCRC and much higher at PMH. Our results confirm that the CIBMTR risk score performs well in predicting differences in OS in contemporary patients treated for NIH chronic GVHD. On the other hand, we identified at least 3 caveats in applying the risk score to our patients: (1) the proportion of patients with risk groups 4 to 6 was very low, (2) a finer separation of risk group 2 might be helpful, and (3) factors accounting for the center-specific difference in mortality, particularly for patients in risk group 3, remain to be determined. The dedicated long-term follow-up program at FHCRC could have contributed to the better survival of patients in this category.
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 | 0,007 | 0,028 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| 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 ».