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Enregistrement W4242580074 · doi:10.1111/j.1440-1843.2006.00883.x

EDITORIAL

2006· editorial· es· W4242580074 sur OpenAlexaboutno aff
Phil Thompson

Notice bibliographique

RevueRespirology · 2006
Typeeditorial
Languees
DomaineMedicine
ThématiqueCytokine Signaling Pathways and Interactions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineLung cancerCLARITYRespiratory MedicineCancerAlternative medicineFamily medicinePathologySurgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

We continue with our lung cancer review series with two more reviews. Our Associate Editor, Dr Fong, is presenting a very thorough and extremely detailed review on the ‘Epigenetics of lung cancer’, with Drs Bowman, Yang and Semmler as co-authors (pp. 355–365). Dr Fong and his co-authors work at the Prince Charles Hospital at the University of Queensland, Australia in the Department of Thoracic Medicine. This is a fascinating area of how the environment may be modifying genes that give rise to malignancy. The second review by Prof. Stephen Lam, and Drs Mc Williams and Shaipanich of the Cancer Imaging Department of the British Columbia Cancer Agency, Vancouver, Canada describes with great clarity and insight the steps to ‘Early detection and chemoprevention of lung cancer’ (pp. 366–372). This is a true state of the art review of where we headed with lung cancer screening. I recommend it to you. We trust that both reviews will be of great interest to you and that you will enjoy reading them. Other highlights in this issue include a review by Dr Slader et al. (pp. 373–387) on the use of complementary and alternative medicine (CAM) in asthma. This review shows that although it is sometimes difficult to establish with accuracy how often CAM is used in the management of asthma and even more difficult to prove its efficiency, it is nonetheless essential to recognise its usage and take it into account in the management of patients with asthma. The study by Nishigaki et al. (pp. 407–413) reports findings on the levels of serum vascular endothelial growth factor (VEGF) in patients infected with Mycobacterium avium complex. Nishigaki et al. showed in their study that infected patients had significantly higher serum VEGF levels and that these levels correlate with the extent of the disease. The authors propose that VEGF may be associated with the pathogenesis of pulmonary Mycobacterium avium complex and that its serum levels could be a useful surrogate marker for evaluating the extent of the disease and the response to treatment. Another illustration of the impact of cigarette smoke exposure was presented by Dr Unlu et al. (pp. 422–428) who showed dramatic histopathological changes and an imbalance of the oxidant-antioxidant status in lungs of exposed rabbits. Intriguingly, a low daily dose of melatonin, had a limited protective effect on these changes. An interesting and nicely written study by Dr Oishi et al. (pp. 429–436) presents recent data on the distribution of drug-resistant strains isolated in patients with community-acquired pneumonia in Japan identifying the most common resistance-gene variations and serotypes. The data from this study provide salutary information for clinicians who may be oblivious to the level of drug resistance for common respiratory organisms elsewhere in the world. Finally, a study on the effects of corticosteroids on adult varicella pneumonia by Dr Adhami et al. (pp. 437–441) showed that corticosteroids administered together with antiviral treatment in adults patients with severe varicella pneumonia dramatically accelerated the physiological recovery of these patients and could also shorten the duration of mechanical ventilation, providing us with new data to help combat this serious disease. Prof. Mishima from Japan and Prof. Yoo from Korea have announced their retirement from their role as Associate Editors due to increased extra responsibilities. Prof. Mishima joined Respirology in June 2003 and Prof. Yoo in March 2004. Their contributions over the past years to the growth and success of the Journal have been greatly appreciated. We are very grateful for their dedication and commitment to the Journal, and we will miss working with them. Both will stay involved with Respirology as Editorial Board members. With three Associate Editors stepping down recently, it is with great pleasure that we welcome five new Associate Editors. Prof. Takahide Nagase from Japan and Prof. David Hui from Hong Kong both started on the 1 March 2006. Prof. Nagase’s interest is in molecular biology and cell biology of lung cancer, Prof. Hui’s interests are in sleep apnoea, non-invasive ventilation, viral pneumonia and COPD. In mid-March, Prof. O Jung Kwon from Korea started, whose interests are in tuberculosis and critical care medicine while on the 3 April 2006, Prof. Phillip Eng from Singapore and Prof. Chong-Kin Liam whose collective interests are in bronchoscopy intervention techniques, and critical care medicine and lung cancer will start. We will continue our tradition and all our new Associate Editors will be offered the opportunity to provide an Editorial to the Journal which will help promote their respiratory interests and their commitment to the Journal. Submission to Respirology is now made online through the very user-friendly ScholarOne which also enables authors to check the status of their manuscript online as it undergoes the review process. To submit a new manuscript or check the status of a submitted manuscript log on to manuscript central at http://mc.manuscriptcentral.com/res If you need assistance, lost your login details or have any problem with the new system you can contact the Editorial Office at: respirol@cyllene.uwa.edu.au. Furthermore, we are now able to offer the opportunity to track your manuscript as it goes through the publication phase by logging into http://www.blackwellpublishing.com/bauthor We hope you enjoy using these new systems and that you agree that these represent further important improvements to our Journal.

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)0,002
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 consensuellesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,016
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0020,003

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 GPT0,298
Écart entre enseignants0,288 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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
Publié2006
Routes d'admission1
Résumé présentoui

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