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Enregistrement W4240136639 · doi:10.1176/appi.pn.2013.6b16

Journal Digest

2013· article· fr· W4240136639 sur OpenAlexaboutno aff
Leslie Sinclair

Notice bibliographique

RevuePsychiatric News · 2013
Typearticle
Languefr
DomainePsychology
ThématiqueSuicide and Self-Harm Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMental illnessContext (archaeology)ResidencePopulationPsychologyPsychiatryMental healthMedicineGerontologyDemographyEnvironmental healthGeographySociology

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Next article Clinical and Research NewsFull AccessJournal DigestLeslie SinclairLeslie SinclairSearch for more papers by this authorPublished Online:12 Jun 2013https://doi.org/10.1176/appi.pn.2013.6b16Serious Mental Illness Linked to Neighborhood CharacteristicsNeighborhoods in which adults with serious mental illness reside are more apt to have higher levels of physical and structural inadequacy, drug-related activity, and crime than comparison neighborhoods, said Philadelphia-based researchers. They evaluated the characteristics of the neighborhoods of residence of a sample of 15,246 adults who were treated for serious mental illness in Philadelphia from 1997 to 2000 and compared them with an equally sized group of neighborhoods created by randomly generated addresses representative of the city’s general population. “Although this study was unable to directly test the relationship between neighborhood environmental context and the functioning of persons with serious mental illness, its findings are nonetheless concerning in light of emerging evidence that worse neighborhood characteristics impede the community integration of persons with serious mental illness,” said the researchers, who also noted that their findings establish the importance of further exploration of the degree to which environmental factors may act as either barriers or facilitators to the functioning and participation of persons with serious mental illness.Byrne T, Prvu Bettger J, Brusilovskiy E, et al. “Comparing Neighborhoods of Adults With Serious Mental Illness and of the General Population: Research Implications.” 2013. Psychiatric Services in Advance. May 15 [Epub ahead of print]. http://ps.psychiatryonline.org/article.aspx?articleid=1687833.Exposure to Suicide Predicts Increased Suicidality In AdolescentsTeens who are acquainted with someone who has died by suicide are at greater risk of suicidal ideation themselves. Piotr Marcinski/ShutterstockBeing exposed to suicide can lead to suicidal ideation and suicide attempts among adolescents, researchers at the Harvard School of Public Health reported. Their finding was based on responses from 8,766 adolescents aged 12 to 17 who were part of the National Longitudinal Survey of Children and Youth, carried out from 1998 to 2007. Study participants were asked whether anyone in their school had died by suicide and whether they personally knew anyone who had died by suicide. Social support for the youth and stressful life events were also assessed.The prevalence of exposure to a schoolmate’s suicide and personally knowing someone who died by suicide increased with age, and such exposure was consistently associated with suicide attempts and, to a lesser degree, with suicidal ideation. “Our results support schoolwide interventions over current targeted interventions, particularly over strategies that target interventions toward children closest to the decedent,” the researchers concluded.Swanson S, Colman I. “Association Between Exposure to Suicide and Suicidality Outcomes in Youth. 2013.” Canadian Medical Association Journal. May 27 [Epub ahead of print]. http://www.cmaj.ca/content/early/2013/05/21/cmaj.121377.No Serologic Tie Found Between Autism and Lyme DiseaseDespite reports of a link between Lyme disease and autism, controlled studies to assess serological evidence of infection with Borrelia burgdorferi (the causative agent of Lyme disease) in patients with autism are lacking. Researchers based at Weill Cornell Medical College and New York Medical College obtained serum samples from 120 children aged 2 through 18 (70 with autism and 50 unaffected controls) acquired from the Autism Genetic Resource Exchange and the Weill Cornell Autism Research Program and then tested them for antibodies to B. burgdorferi. None of the children with autism or the unaffected controls had serological evidence of Lyme disease by two-tier testing. “The data do not address whether Lyme disease may cause autism-like behavioral deficits in some cases,” said the researchers. “However, the study’s sample size is large enough to effectively rule out the suggested high rates of Lyme disease or associated seroprevalence among affected children.”Ajamian J, Kosofsky B, Wormser G, et al. “Serologic Markers of Lyme Disease in Children With Autism.“ 2013. JAMA. 309 (17) 1771 – 1773. http://jama.jamanetwork.com/article.aspx?articleid=1682933.Case Report: Tachycardia Treatment Thought to Resolve Suicidal DepressionResearchers at the UCLA Mattel Children’s Hospital in Los Angeles reported a case of a 14-year-old girl whose suicidal depression resolved after treatment for ectopic atrial tachycardia (EAT). The patient had no other significant medical history until she began experiencing several life stressors that gradually escalated prior to her suicide attempt with lorazepam and alcohol. She suffered depression, anxiety, panic attacks, insomnia, and anhedonia and eventually sought psychiatric evaluation when she experienced suicidal ideations and began cutting her wrists. Her EAT was subsequently diagnosed when she was hospitalized after her suicide attempt. She was transferred to an inpatient psychiatric ward, where her symptoms improved but did not resolve completely. Once stable, she underwent catheter ablation, after which her feelings of anxiety and depression dramatically improved; the patient had been asymptomatic without recurrence for over a year since her procedure. Follow-up echocardiography revealed normalization of ventricular function. “This case underscores the need to screen patients for arrhythmia when being evaluated by their general pediatrician or psychiatrist for psychiatric illness,” concluded the researchers. ■Chau P and Moore J. “Psychiatric Disorder and Incessant Tachyarrhythmia in a Child.” 2013. Case Reports in Pediatrics. April 3 [Epub ahead of print]. http://www.hindawi.com/crim/pediatrics/2013/572301/. ISSUES NewArchived

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)0,001
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge 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: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,907
Score d'incertitude au seuil0,133

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,009
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0020,000
Communication savante0,0060,003
Science ouverte0,0020,003
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,9070,861

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 Opus0,026
Tête enseignante GPT0,310
Écart entre enseignants0,284 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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
Publié2013
Routes d'admission1
Résumé présentoui

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