Notice bibliographique
Résumé
NEW YORK (Reuters Health) Improvised explosive devices (IEDs) cause a far worse pattern of injury than conventional anti-personnel mines (APMs), a study by combat medics stationed in Afghanistan shows.“These weapons cause devastating injuries that necessitate lifelong care and treatment for these patients,” Dr. Shane Smith, a major in the Royal Canadian Medical Service based in London, Ontario, told Reuters Health by telephone. “They have multiple amputations as well as very significant pelvic injuries, and so these people will need support going forward.”Conventional landmines were initially designed to “injure but not kill, to remove a target from combat and to increase the logistical burden for the enemy of caring for the casualty,” Dr. Smith and his team note in their report, published August 23 in BMJ Open. A person who steps on a landmine typically suffers traumatic amputation of the foot or leg, with one or more traumatic lower-limb amputations.After observing that injuries from IEDs seemed to be much more severe, Dr. Smith and his team prospectively characterized injuries in 100 consecutive pedestrian IED victims treated between January 2010 and July 2011 at the Multinational Medical Unit at Kandahar Air Field in Afghanistan.All patients were male, ranging in age from six to 44 years. Nine were younger than 18. Sixty-one were soldiers from the U.S., Canada or the UK; 27 were Afghan locals, and nationality was not recorded for the remaining 12.Of the IED victims, 70% suffered multiple amputations, including five with quadruple amputations, 27 with triple amputations, and 38 with double amputations. In contrast, about 10% of conventional landmine victims sustain multiple amputations. Genital injury occurred in 26%, versus about 13% of those injured by conventional APMs.Thirty-seven IED victims had at least one upper-extremity amputation, and 46 had perineal or gluteal injuries. Injuries were fatal in 19 patients.“The typical injury profile . . . included: bilateral lower extremity amputations (often above the knee); mangling or amputation of an upper extremity; extensive soft tissue injury with deep contamination by soil, extending into gluteal and perineal regions and pelvic ring disruption and genital mutilation,” the authors state.Given the observed injury patterns, Dr. Smith and his colleagues note, first responders to IED injuries should be prepared to apply tourniquets bilaterally and place pelvic binders to help reduce blood loss.“IEDs have a much more severe and significant injury pattern than industrially manufactured conventional landmines,” Dr. Jonathan Morrison, a trauma surgeon at the R. Adam Cowley Shock Trauma Center at the University of Maryland Medical System, told Reuters Health by telephone. Dr. Morrison deployed multiple times to Iraq and Afghanistan, but he did not participate in the new study.Since about 2011-2012, Dr. Morrison noted, coalition soldiers serving in Afghanistan have been issued perineal protection garments to shield them from blast injury. Also, he added, soldiers are now less likely to patrol on foot, and more likely to travel in armored mine-resistant vehicles specifically designed to deflect IED blasts.Lessons learned from treating IED injuries have been useful for civilian physicians caring for victims of shootings and terrorist attacks in the U.S., Dr. Morrison pointed out. The U.S. Department of Homeland Security’s Stop the Bleed campaign aims to give bystanders the skills to step in and treat trauma victims, he added. (https://www.dhs.gov/stopthebleed)“The concept of powerful improvised explosive devices is not new,” Dr. Morrison said, noting that the devices were used against U.S. soldiers in Vietnam, who rarely survived the events.“We are now much better at managing these sorts of injuries,” he said. “There is now a cohort of several hundred veterans who have a relatively unique set of injuries, and caring for them in five, 10, 20 years’ time is going to have some unique challenges that we’ve never encountered before.”SOURCE: http://bit.ly/2iDhXH9BMJ Open 2017.Copyright(c) Copyright Thomson Reuters 2016. Click For Restrictions - http://about.reuters.com/fulllegal.asp
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».