Litt's Drug Eruption & Reaction Manual
Notice bibliographique
Résumé
Internationally relied upon by medical practitioners for its unparalleled focus on adverse effects and cutaneous reactions, Litt’s Drug Eruption & Reaction Manual is a succinct clinical reference and essential drug-safety tool for patient care. This 27th edition is a comprehensively revised and updated quick reference, and each entry includes:* Quantitative summaries of reports and incidence for reactions* Drug–drug interactions* Categories of adverse drug reactions, eruptions, and cutaneous reaction patterns* Essential reference information on prescription and over-the-counter drugs as well as herbals and supplements The book contains... * A to Z listing of the 1500 most consulted drug and herbal profiles, including generic name and trade names; pharmaceutical company; indications; half-life; and pregnancy category* Over 31,000 adverse reactions and drug-eruption listings * Includes supplements, vaccines, and botanicals* Clinical definitions of common and severe adverse reactions* List of drugs that cause severe adverse reactions* List of main classes of drugs as a quick clinical reference guide* 27 tables of members of a class of drugs (such as statins or monoclonal antibodies), enabling clinicians to see at a glance whether a reaction is common to all drugs included in that class, or to a majority of them, or is known in only a handful—information that is critical for an informed decision to change drugs within the same class* 2 extensive tables showing reported genetic associations with cutaneous adverse drug reactions and recommendations regarding genetic screening to prevent cutaneous adverse drug reactions* A concordance of synonyms and trade names for ease of cross-reference Markets: Dermatologists, Neurologists, Oncologists, Psychiatrists, Pharmacists, Family Physicians, and those caring for patients on multiple medications, such as Geriatricians and Hospital Generalist Physicians. Litt’s Drug Eruption & Reaction Manual is a succinct clinical reference derived from Litt’s Drug Eruption & Reaction Database, located at www.drugeruptiondata.com, which currently holds over 1750 drug profiles with almost 70,000 documented drug reactions, as evidenced by well over 145,000 references on PubMed. Quick and easy access via the Litt app provides real time access to the most up-to-date drug safety information to a busy practitioner on-the-go. Subscribers to the database benefit from:* Easy access via the Litt app, ideal for working across a number of work-places* Full drug profiles with a wealth of information including category, half-life, indications, drug-drug interactions, and known adverse reactions* Links to PubMed abstracts * Searching a class of drugs for a specific reaction* Searching by adverse reaction pattern* Searching by indication for a drug* Searching by drug name (generic name/brand name) as well as by pharmaceutical company or drug class* Searching herbal medicines and supplements* Diagnosing the cause of reactions in patients on multiple drugs by selecting the adverse reaction(s) experienced and the drug(s) the patient is taking* Comparing reaction profiles for up to four drugs in a customized chart that can be saved for future reference* Descriptions of reaction patterns* Photographs of adverse reactions* Access via a computer, tablet, or smartphone* Regular updates To learn more, and to subscribe to the database, visit www.drugeruptiondata.com.
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 | 0,002 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,322 | 0,237 |
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 ».