Bibliographic record
Abstract
Having read this hardcover book from cover to cover, I can only concur with the authors' description of this excellent text. It is, indeed, a guide and concise drug reference that allows for rapid identification of drugs that patients may be taking as they present for dental care. This is not a comprehensive pharmacology text, and it does not make specific or dogmatic recommendations with respect to the selection or prescribing of drugs. More than 1600 drugs are presented alphabetically by generic name. A second index, based on a therapeutic and pharmacology classification, is found at the beginning of the text. This would be particularly helpful in the event that the patient does not recall the name of the medication but knows the condition for which it is taken. In addition, this index also groups drugs by classes. For example, a drug is listed under the general heading of “antihypertensives” and then under the more specific class of “angiotensin-converting enzyme inhibitors.” Each drug is described under the following headings: “generic name,” “pronunciation of the generic name,” “common brand names” (drugs available in Canada are designated by a maple leaf), “drug class,” “action,” “uses,” “doses and routes of administration,” “side effects/adverse reactions,” “contraindications,” “precautions and identification of pregnancy categories,” “pharmacokinetics,” “drug interactions of concern of dentistry,” and “specific dental considerations.” By being outlined in the above fashion, this book is amazingly complete. Specific emphasis is placed on drug interactions—especially those of interest to the dental practitioner—and the highlighting of oral side effects. The section on dental considerations will be especially useful in developing comprehensive patient management strategies. These include general considerations and areas to emphasize to both the patient and the patient's family. The sixth edition also includes a CD-ROM that features over 100 patient education sheets that can be customized. It also includes 30 oral pathologic conditions that may result from the drugs the patient may be taking and is cross-referenced to the page in the book where the drug is described. Also included are 2 appendices that contain abbreviations, drugs that cause dry mouth, controlled substances, pregnancy categories, drugs that affect taste, combination products (ie, Percocet-oxycodone plus acetaminophen), dose calculations, herbal and nonherbal remedies, drugs that affect the cytochrome P450 system, prescription examples, and selected references. Located on the inside cover pages are useful tables and a list of drugs for antibiotic prophylaxis. This book is succinct, comprehensive, and nearly flawlessly written. Although it is called a dental drug reference, this up-to-date book should be in the library—or lab-coat pocket—of any healthcare professional.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.387 | 0.374 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".