Dialysis or not? A comparative survival study of patients over 75 years of age with chronic kidney disease stage 5
Notice bibliographique
Résumé
Sir, In their article [ 1 ], Murtagh et al . carry out a retrospective, intention-to-treat analysis, comparing survival among those who elect to receive dialysis versus conservative management. Their results support the contention that patients who elect dialysis have a better survival than those who elect conservative treatment but that ‘…the survival advantage is substantially reduced by comorbidity and ischaemic heart disease in particular’. We emphasize the word elect here because, unfortunately, it is not clear from the authors' Abstract, nor from the Tables and Figure, that the results DO NOT refer to patients who actually receive dialysis but rather to patients who elect to receive dialysis. The authors are careful to point this out within the article itself but the more ‘casual’ reader should be warned that the survival curves and hazard ratios shown in the article do not reflect the actual treatment received during the course of follow-up. Indeed, an analysis reflecting the actual treatment received would require using a more sophisticated Cox- proportional hazards model with time-dependent treatment groups. Such an as-treated analysis may or may not alter the conclusions reached from the authors' intent-to-treat analysis. For example, the total number of deaths attributed to the dialysis group is mentioned as 12. However, as noted by the authors, 8 of 12 died prior to starting dialysis. Another 16 in the dialysis group never started dialysis prior to the study completion date. How were these 24 patients managed? We presume that they were given the same treatment that was offered to patients in the conservative arm before starting dialysis. In an as-treated type of analysis, the total number of patients who actually received dialysis would be 52 − 24 = 28, out of which 4 would have died following the initiation of dialysis. Likewise, at initiation, the conservative treatment arm would have started off with a total of 77 + 24 = 101 patients, of which 59 (=51 + 8) would have died while on conservative treatment. Thus, an as-treated analysis may or may not yield results and/or conclusions different from those reached by the authors. It is not that we object to the intent-to-treat approach taken by the authors, it is just that results could vary according to the type of analysis one performs and we wish to make readers aware of such a possibility. Conflict of interest statement . None declared.
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 | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 ».