MétaCan
Menu
Retour à la cohorte
Enregistrement W3091694826 · doi:10.1093/rheumatology/keaa559

Comment on: The impact of smoking on prevalence of psoriasis and psoriatic arthritis: reply

2020· letter· en· W3091694826 sur OpenAlexaff
Ümmügülsüm Gazel, Gizem Ayan, Dilek Solmaz, Servet Akar, Sibel Zehra Aydın

Notice bibliographique

RevueLara D. Veeken · 2020
Typeletter
Langueen
DomaineImmunology and Microbiology
ThématiquePsoriasis: Treatment and Pathogenesis
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésMedicinePsoriatic arthritisPsoriasisDermatologyArthritisInternal medicine

Résumé

récupéré en direct d'OpenAlex

Dear Editor, We read the letter by Zhao et al. in response to our manuscript, ‘The impact of smoking on prevalence of psoriasis and psoriatic arthritis’ [1, 2]. Our systematic literature review and meta-analysis demonstrated that the prevalence of ever smoking is increased in psoriasis compared with the general population whereas the prevalence of ever smoking is reduced within psoriasis patients and not different from the general population. As already stated in our manuscript, the conflicting results between the prevalence of smoking in psoriasis vs PsA can certainly be due to a methodological bias and may be a result of the collider effect. As can be read in the manuscript, all findings have been reported with ‘possibilities’ and not statements, highlighting the potential effect of the methodological bias in every step. The authors question our raising a hypothesis on potential biological effects of smoking and mention ‘biological implausibility’. We would like to point out the ongoing debate and numerous observations on the effect of smoking and ulcerative colitis and Behçet’s disease flares [3–5]. In our view, in the absence of any data that specifically seeks and investigates causality, it is not possible to rule out any effect of any variable on the outcomes, in any direction, and it is important for a researcher to be open minded. We believe, as in this case in which there are conflicting results in the literature, instead of unquestionably accepting this all being due to a methodological error, it is prudent to make observations, raise hypotheses and perform specific studies to look for the causality. Our abstract clearly refers to the observation in PsA that may be due to the collider bias. We also did not include the results of the analysis in the title on purpose (e.g. reduced risk of PsA among smokers), so as not to mislead the readers without knowing the limitations of performing a meta-analysis in PsA, which is discussed in the manuscript. Similar to Zhao et al. we also have an appetite for research that focuses on causality, which again already has been stated as a need in the discussion of our manuscript. It is challenging to seek for causality in this scenario as patients cannot be exposed to the risk of smoking, the duration between psoriasis and arthritis can be highly variable and may be >20 years, and longitudinal studies for a few years would not be able to demonstrate the actual effect. Due to these challenges, we believe that the available data should not be ignored but interpreted with caution, and that has been our aim throughout the manuscript. Finally, all data included in the manuscript have compared ‘the prevalence of smoking in psoriasis patients compared with the general population’ and not ‘the prevalence of psoriasis among smokers compared with non-smokers in the general population’. We noticed some errors in the wording of the results section where it reads as ‘the prevalence of PsA among smokers’ which was not investigated in our review. We sincerely thank the authors for the opportunity to clarify the results in PsA. In conclusion, there are conflicting results about the prevalence of smoking in PsA. These observations may be due to a methodological bias. However, we believe rather than ignoring these observations, research that specifically seeks for the effect of smoking in the disease course needs to be initiated. Funding: No specific funding was received from any funding bodies in the public, commercial or not-for-profit sectors to carry out the work described in this manuscript. Disclosure statement: The authors have declared no conflicts 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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,027
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,056
Score d'incertitude au seuil0,029

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,027
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,003
Communication savante0,0030,004
Science ouverte0,0030,002
Intégrité de la recherche0,0560,041
Charge utile insuffisante (le modèle a refusé de juger)0,0090,009

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 GPT0,251
Écart entre enseignants0,227 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2020
Routes d'admission1
Résumé présentnon

Explorer davantage

Même revueLara D. VeekenMême sujetPsoriasis: Treatment and PathogenesisTravaux en français237 207