Notice bibliographique
Résumé
I read with interest the article entitled: “Cardiac Troponin I in Calves with Congenital Heart Disease” (Suzuki, et al., JVIM, 2012 DOI: 10.1111/j.1939-1676.2012.00953.x).1 This study deals with an understudied area of internal medicine: cardiology in food animals. Adding evidence-based studies is of great importance but can be challenging especially for unfrequent diseases. The authors concluded that the blood levels of cardiac troponin I (cTnI) can be of interest in for diagnosing congenital heart disease (CHD) in calves. They also state that “using a cutoff value of ≥ 0.035 ng/mL, cTnI in plasma may distinguish calves with and without significant CHD with reasonnable sensitivity and specificity.” Designing of diagnostic accuracy studies is challenging not only in veterinary medicine but also in human medicine.2 The case selection of control group to assess the specificity of the cTnI levels needs to be discussed since it may certainly overestimate test accuracy. Using healthy control subjects in case-control studies commonly led to overestimation of diagnostic accuracy compared with cohort study.3 As discussed by the authors, the clinical diagnosis of CHD in calves is challenging without echocardiography since the clinical signs especially cardiac murmur can be found in calves without CHD (anemia, excitement or fever) as well as various signs of respiratory distress. It has been shown that cTnI can be increased in cattle due to various thoracic diseases4, 5 or endotoxemia.6 Such animals may represent a better group to establish the specificity of the diagnostic accuracy of cTnI in calves with heart murmur and CHD to calves with heart murmur due to various cardiorespiratory condition or endotoxemia/sepsis. Another concern that has not been addressed in that study is that the test accuracy has been determined in only 12 cases with various CHD and 19 healthy control animals. With this small sample although the receiver operating characteristic lead to interesting Se/Sp of this test in their sample of calves, the authors did not mention that before doing any inference of their best Se/Sp value of cTnI, they need to calculate the 95% confidence interval (CI) for their values. Such a small sample of animals would lead to a wider imprecision of their Se/Sp estimate to extrapolate to the general population that needs to be known by any clinician attempting to include cTnI determination in their diagnostic workup for suspected calves with CHD. Morerover, determining a threshold (here 0.035 ng/mL) although interesting, needs to be discussed in regard with the method of determination of cTnI. Previous studies in dogs7 have shown that normal ranges should be established for every technique/analyzer used for establishing cTnI levels since difference in the antibodies used in the assays could lead to differences in results obtained with different analyzers. Moving from this point, it is difficult to extrapolate the proposed threshold without comparisons of other point of care cTnI analyzers that could be used in the farm with portative analyzers that may be used for cTnI determination. Finally, despite having a threshold for diagnosing CHD in calves could be interesting, from a practical perspective, it would have been interesting to know if the cTnI values were quite different depending on the exact nature of CHD. The impact of the heart defect on cardiomyocytes oxygen delivery may (or may not) be different in a case of early VSD without any cardiac chamber modification whereas hypoxemia due to intracardiac shunt may lead to increased cTnI due to myocardial hypoxia in cyanotic heart disease (Tetralogy of Fallot or double outlet right ventricle which represent 6 of 12 cases investigated in the present study1). This study raises interesting points concerning potential interest of cTnI in the diagnosis of CHD in calves. However, the authors did not convince me that it could replace transthoracic echocardiography which is more specific in living animals and more sensitive (for experienced user) especially for commonly encountered CHD such as VSD. Having higher number of CHD calves and calves with various conditions that could clinically mimick CHD would be of great interest to investigate more accurately Se/Sp of this cardiac biomarker. Using the proposed threshold to diagnose CHD in calves without other confirmatory test would certainly lead to overdiagnosing CHD in calves with simple infectious respiratory conditions or endotoxemic condition.
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 | 0,028 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,005 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,018 | 0,018 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,041 | 0,024 |
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 ».