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Record W2610625841 · doi:10.1055/s-0037-1602766

Essential Mednotes—Comprehensive Medical Reference & Review for USMLE II and MCCQE I

2017· article· en· W2610625841 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Pediatric Genetics · 2017
Typearticle
Languageen
FieldMedicine
TopicHeart rate and cardiovascular health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineComputer scienceMedical educationMedical physics

Abstract

fetched live from OpenAlex

Kim J, Mukovozov I (eds.) Essential Mednotes—Comprehensive Medical Reference & Review for USMLE II and MCCQE I. Toronto: Thieme; 2017 (1360 pp). ISBN 978–1-927363–30–0. The book entitled “Essential Mednotes—Comprehensive Medical Reference & Review for USMLE II and MCCQE I” by editors Jieun Kim and Ilya Mukovozov, production managers Tina Binesh Marvasti and Sydney McQueen, ThiemeType & Graphics Inc., 33rd edition 2017 (ISBN 978–1-927363–30–0) is reviewed herein. Every year medical students face the challenge of organizing and absorbing an ever-growing body of knowledge from every discipline of medicine. A comprehensive, broad, and in-depth resource, Essential Mednotes is written for medical students to use for review for the USMLE step 2 and MCCQE 1 examinations. The book includes 31 content chapters, a small 33-page handbook titled Stat Notes, a larger 300-page Clinical Handbook, and 2 reference cards for emergency resuscitation, electrocardiograms, and common infections. Within the pediatrics chapter there is a seven-page section dedicated to genetics, dysmorphology, and metabolism. The section on the basics of genetics describes the most common mechanisms of inheritance, methods of genetic testing, and the usefulness of whole-genome sequencing as a first-line test in some cases. To provide a framework for the understanding of the basics of dysmorphology, definitions of terminology for describing malformations are given as well as an approach to evaluating a dysmorphic child and a diagram for the physical examination. There is a useful review table that includes extensive details on several common genetic syndromes such as the three viable autosomal trisomies, Fragile X, and DiGeorge syndromes, as well as sections dedicated to Duchenne muscular dystrophy, phenylketonuria, and galactosemia. The section on metabolic disease includes a general approach to evaluating inborn errors of metabolism, a small box with an essential caveat regarding newborn screening, and a brief table describing the broad categories of metabolic disorders including organic and amino acid disorders, carbohydrate disorders, fatty acid disorders, and “organelle” disorders (mucopolysaccharoidoses, congenital disorders of glycosylation, and lysosomal storage disorders). Throughout the rest of the text, within appropriate chapters, information about specific genetic diseases is reviewed. In neurology, for example, amyotrophic lateral sclerosis, neurofibromatosis, and differential diagnoses for ataxias, myopathies, and hypotonia reviews are included. Prenatal screening is covered with an appropriate amount of depth. In comparison to other resources the genetics content that Essential Mednotes presents has several strengths. The overview of mechanisms of inheritance, genetic testing methods, and types of anomalies is excellent. The inclusion of the approach to the evaluation of a dysmorphic child is another strength, especially for a text billed as a USMLE review. These sections are so well done that they would be useful for genetics fellows to review on their first day of training. The overview of metabolic disorders and the helpful section on initial metabolic investigations, while brief, is broader than other texts. One critique of Essential Mednotes' genetics content is that it is not organized for rote memorization or an essential-information-only approach to learning. While there is no bolding or indication of the key distinguishing features of many conditions, plenty of space is available for students' notes and highlighting. As genetics is a discipline that, due to the variety of diagnoses that can be made based on one or a few key features, lends itself to question-making, Essential Mednotes includes some clinical pearls in the sidebars. The table on the groups of metabolic disorders chooses breadth over depth while including several important details. In sum, Essential Mednotes genetics content is exceptional as a resource not only for passing the USMLE examination but for its utility to its readers' future clinical practice.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.533
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.079
GPT teacher head0.396
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it