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Enregistrement W2045071392 · doi:10.1111/j.1365-2796.2012.02590.x

Response to comment from Dr. Sloan: ‘Look what's going down’

2012· letter· en· W2045071392 sur OpenAlexaff
Robert P. Nolan, John S. Floras, Lamiaa A. Ahmed, Paula Harvey, Natalie Hiscock, H. Hendrickx, Duncan Talbot

Notice bibliographique

RevueJournal of Internal Medicine · 2012
Typeletter
Langueen
DomaineMedicine
ThématiqueHeart Rate Variability and Autonomic Control
Établissements canadiensUniversity Health NetworkWomen's College HospitalUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineCriticismMetaphorHeart rateReading (process)Heart rate variabilityPower (physics)Cognitive psychologyAudiologyInternal medicinePsychologyLiteratureTheologyLinguisticsBlood pressurePhilosophy

Résumé

récupéré en direct d'OpenAlex

Dear Sir, We appreciate the Editorial Comment by Dr. R. P. Sloan 1 on our recent proof of principle study 2 of the cholinergic anti-inflammatory reflex. Nevertheless, we are concerned that four points of criticism raised in the Comment 1 signify inaccurate reading of our text. This obliges a response, if only to facilitate a clear and parsimonious reading of our paper. To continue with the Buffalo Springfield metaphor (to ‘For What It's Worth’*) entitling Dr. Sloan's Comment 1, we invite readers to focus on this song's refrain as they consider our reported results and to simply look what's going down amongst measures of inflammation when markers of vagal heart rate modulation increase over time. The first inaccuracy is that the Comment 1 informs readers that the results in our paper were derived from baseline-adjusted change scores in a marker of vagal heart rate modulation (RR high frequency [HF] power) during a stress challenge protocol. Accordingly, the Comment 1 asserts that it is an understatement to say that the study design and results are difficult to follow. In fact, no such change scores were utilized. It is noted three times in the study design and assessment protocol subsections of our paper that we evaluated the association between pro-inflammatory factors (hsCRP and IL-6) and markers of vagal heart rate modulation, ‘under a stable resting baseline condition’ (p.162); and again, ‘over the 6-min resting baseline…’ (p.163), and most specifically, ‘…the 10-minute adaptation period… was followed by a 6-min resting baseline interval, which is the focus of the current investigation.’ (p.163) 2. Our effort to account for how our text may have contributed to the above-noted problem alerted our team to two related inaccuracies in the Comment 1 that may help to explain how details in our text and in the Comment 1 began to diverge. The Comment notes that ‘the design appears to derive from a study previously published by (our) group…’ (P. 159) 1, and the only citation provided directs readers to our 2005 clinical trial of behavioural neurocardiac training 3. In fact, we explicitly acknowledge in the limitations paragraph of the Discussion that our investigation was a secondary analysis of data obtained from our 2010 trial of behavioural neurocardiac training 4, and the 2010 trial is cited throughout the Introduction, Methodology and Discussion sections as the source study for our investigation, and yet this key paper is never referenced in the Comment 1. The reader is informed in the Comment that our current study ‘…analysed the relationship between changes in HF power and changes in inflammatory markers…’ 1. This is partially correct and (surprisingly) it is more consistent with details of our 2005 trial 3. In contrast, markers of vagal heart rate modulation in our 2010 trial 4 included not only HF power, but baroreflex sensitivity and RR interval as well. Indeed, a compelling feature of our secondary analysis of that trial is that we observed an inverse association between change in each of these markers of vagal heart rate modulation and change in hsCRP—as the resting baseline measures were compared before versus after an 8-week period of behavioural intervention. Fourthly, the Comment 1 takes issue with the fact that the present substudy of our 2010 trial 4 collapsed subjects into one cohort. Accordingly, it is claimed that the ‘whole point of neurocardiac training…is vitiated’ (p. 159) 1. We suggest that this criticism misses the essential point of our substudy. Our aim was not to evaluate whether behavioural neurocardiac training versus autogenic relaxation evoked greater reduction in proinflammatory activity. Indeed, it is noted in the limitations section of our paper that the evaluation of change in inflammatory activity was not factored into the sample size or primary hypothesis of our 2010 clinical trial 4. Rather, the stated objective of the present substudy was to evaluate whether changes in markers of vagal heart rate modulation observed following either of the above-noted behavioural interventions was independently and inversely associated with changes in pro-inflammatory activity. Arguably, data must be obtained from studies such as our present proof of principle study before the potential superiority of any behavioural intervention in regulating inflammation can be evaluated in the context of a hypothesis-driven clinical trial. Looking forward, we trust that this response to the Comment 1 will focus on discussion and encourage further testing of the hypothesized cholinergic anti-inflammatory reflex. We stand behind our present findings that, to our knowledge, build significantly on previous research in evaluating, under controlled conditions, whether an increase over time in vagal heart rate modulation attenuates independently pro-inflammatory activity. No conflict of interest was 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 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)0,004
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,024
Tête enseignante GPT0,298
Écart entre enseignants0,274 · 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
GenreCommentaire

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
Publié2012
Routes d'admission1
Résumé présentoui

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