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Record W2933844459 · doi:10.1213/ane.0000000000004134

The Spine Handbook

2019· article· en· W2933844459 on OpenAlexaffabout
Sujoy Banik

Bibliographic record

VenueAnesthesia & Analgesia · 2019
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineCervical spinePhoneMedical educationSurgery

Abstract

fetched live from OpenAlex

Spinal disorders are responsible for a significant amount of morbidity in the medical world. Their treatment encompasses a wide variety of interventions, and involves continuous and committed interdisciplinary patient management. As a neuroanesthesiologist involved regularly in spine surgery and postoperative pain management, I was very interested to read The Spine Handbook, by Dr Mehul Desai, an eminent pain physician himself. The book provides an overview of the myriad problems that arise in the human spine and the various diagnostic and therapeutic challenges that go along with it. The book is neatly divided into 6 sections, with a total of 33 chapters. Section 1 deals with examination and assessment of the spine and its pathology; sections 2, 3, and 4 encompass the cervical, thoracic, and lumbar spine; and sections 5 and 6 are devoted to emerging issues and neuromodulation, respectively. It is available as a paperback, which is handy in size and quite compact, and also online as an e-book in an easy-to-read format. The chapters are lined with images, figures, and tables, which are extremely useful tools to illustrate the underlying concepts, making it appealing to read for paramedical professionals involved in spine care, as well as physicians. Each section of the online book can be separately navigated, which allows for quick reference to a distinct topic. I faced no difficulty using various devices to access the e-book, including Android phone, iPad, and desktop, making it convenient to read on the go. The quality of the print of the paperback issue is appealing, and the glossy pages work well for taking notes or highlighting text, as preferred by the reader. Each chapter begins with a table of contents and a textbox highlighting key points covered throughout the text. Authors include experts from such diverse specialties as anesthesiology, radiology, orthopedics, neurosurgery, physical therapy, psychology, and psychiatry. Chapters are extensively referenced, yet deliver a succinct, concise message to the reader about the topic at hand. Tables of various clinicopathological and functional classifications are provided in great detail, offering insight into the disease process and the clinician’s thinking, as well as providing medical quiz junkies with superb data sets. Chapter 25 on core strengthening was quite the eye-opener in terms of actual rehabilitation and the exact exercises that a patient can and cannot do on the road to full functional recovery. The major strength of this book is its easy delineation of concepts in spine pathophysiology and the impact of treatments on clinical and functional outcome. Many newer treatments that are currently all the rage in spine treatment are outlined in section 5 as emerging and special issues, like ultrasound-guided spine interventions, biologic and regenerative therapies, such as stem cell therapy, platelet-rich plasma injections, and the challenges and controversies of opioids in spine pain. These chapters, along with the section on neuromodulation including spinal cord stimulation, were of most interest to me, as an anesthesiologist. The author’s approach is clear and simple, with images and tables reinforcing the points made. In addition, I would have liked to see a description of neuromonitoring during spine surgery, including evoked potentials and depth of anesthesia monitors, among others, and their impact on clinical and functional outcomes. Perhaps it may be a valuable addition in upcoming editions. The book manages to capture the attention of the beginner reader, whether in medical science or allied professions like nursing, physiotherapy, and occupational therapy, with an overlay of concepts, both illustrative and contextual, and diagnostic and therapeutic maxims for the spine, making reading an enlightening and pleasurable experience. The Spine Handbook is also a good read for those who wish to update themselves with the latest in spine disease therapeutics, making the book a valuable addition to most medical libraries. It is also reasonably priced at 125 dollars, a cost within reach of most health care professionals in the Western hemisphere. The book also serves as a handy refresher on the various treatment modalities and surgical approaches to the spine, allowing the reader to comprehend the impact of injury and disease pathology, thereby tailoring therapy to aim for better outcomes. The chapters are designed to provide a ready reference to various facets of spinal disorders. Compared to the usual tomes on the spine, this book can easily fit on most shelves, including mine. The trained pain physician is equally likely to have the book as the curious patient who lines up to see what he or she is in for when visiting the spine physician or the occupational therapist. This successful condensing is what makes this book a must-have for everyone involved in multispecialty spine treatment. Sujoy Banik, MBBS, MD, DMDepartment of Anesthesia and Perioperative MedicineLondon Health Sciences CentreSchulich School of Medicine and DentistryUniversity of Western OntarioLondon, Ontario, Canada[email protected]

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.328
Threshold uncertainty score0.958

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.3280.289

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 head0.009
GPT teacher head0.256
Teacher spread0.247 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2019
Admission routes2
Has abstractyes

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