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Enregistrement W4408681305 · doi:10.1002/jhm.70034

That's usually what happens… I think

2025· editorial· en· W4408681305 sur OpenAlexaff
Shamini Selvakumar, Andrew Olson

Notice bibliographique

RevueJournal of Hospital Medicine · 2025
Typeeditorial
Langueen
DomaineMedicine
ThématiqueEmergency and Acute Care Studies
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésMedicineMEDLINELaw

Résumé

récupéré en direct d'OpenAlex

It's September, and you are rounding on a pediatric inpatient unit with medical students and residents. Typical for this time of year, there are several patients admitted with an asthma exacerbation. All have received the usual asthma treatments, including systemic corticosteroids. As you move on to the next patient, the medical student asks: “This patient's white blood cell count is going up, is that normal? Could this be an infection?” You respond: “Well they received corticosteroids, so we expect a rise in the patient's white blood cell count.” Student: “Why? And how much of a rise do we expect and for how long?” You: “Well, that's what usually happens. And we expect to see something of a rise for a handful of days…” You then trail off and move onto the next patient… In medicine, certain concepts are passed on from one preceptor to another. Eventually, these concepts become dogma. Although this dogma may reflect clinical reality, we are not sure how to explain their finer details or consider how concepts— such as corticosteroids and leukocytosis—may have changed over time. As medicine changes, does our understanding of this dogma need to be re-evaluated? Sullivan et al. sought to quantify the rise in white blood cell count (WBC) in response to corticosteroids in noninfected, nonsurgical patients.1 This retrospective evaluation was large—a total of 28,425 patients were included—and 1608 of these patients received systemic steroids. Patients were stratified into low, medium, or high groups based on dosing and WBC followed for up to 4 days. The study demonstrated a dose-dependent WBC response. For patients who received steroids, WBC peaked on Day 2 across all groups, with the mean value remaining significantly elevated on Day 4 in the medium and high dose groups. On Day 2, the WBC was on average 4.84 × 109/L higher than baseline for the high dose group, 1.70 × 109 higher for the medium dose group, and 0.32 × 109/L higher for the low dose group. After Day 2, WBC declined and plateaued. This study demonstrates that in noninfected patients who receive steroids, clinicians can expect a rise in the WBC within the first 48 h before plateauing, and generally should not expect a new elevation after Day 3 or 4. Some clinicians may ask why should we research concepts that are considered “common sense.” When should we expend effort and resources re-evaluating dogma? Martin Westphal described in an article five common “established concepts” in critical care medicine that are in practice, but may not be rooted in evidence—or have evidence that actually demonstrates harm.2 Similarly, consider “common sense” decision to obtain blood cultures in children who are hospitalized with community-acquired pneumonia, despite a lack of supporting strong evidence,3 for a test with low positive yield rates and at risk of false positives due to contamination. Clearly, medical practice is rife with opportunities to re-evaluate dogma. How should we decide when such re-evaluation will be helpful? We believe that a researcher should demonstrate clinical equipoise in a concept (i.e., there is not a well-described answer) and that, if found, this answer will inform patient care and/or future research. In this study, despite this being “what usually happens,” the authors have demonstrated this concept in a very large sample size and provided values stratified by steroid dosing, as well as when we expect the WBC to plateau. They address a clinically important question for clinicians as they decide on whether to initiate a further infectious workup or not based on patient's elevated WBC. There is value in questioning the “well, that's usually what happens” in medicine so that we are not perpetuating common misconceptions as accepted dogma. It also provides an opportunity to conduct research that is highly accessible to hospitalists while also addressing clinically important questions. The authors have nothing to report. The authors declare no conflict of interest.

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)0,001
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,038
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,007
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,010
Tête enseignante GPT0,304
Écart entre enseignants0,294 · 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
GenreÉditorial

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
Publié2025
Routes d'admission1
Résumé présentoui

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