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Record W215932365

Mailis-Gagnon A, Israelson D. Beyond Pain: Making the Mind Body Connection. Viking Canada (Pearson Canada/Penguin), Toronto, 2003. ISBN 0472030825; 274 pages; $25.00.

2007· article· en· W215932365 on OpenAlexaboutno aff
Eldon Tunks

Bibliographic record

VenueEurope PMC (PubMed Central) · 2007
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyChronic painOptimismMedicinePsychotherapistPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

In this book, Dr Mailis-Gagnon relates her own experience – indeed journey as a person and as a professional and investigator – in her work with patients with chronic pain. It is written well and interestingly, and is full of case histories, told in a sympathetic and engaging manner, of many pain sufferers she has dealt with over many years. It also describes the unique approach she has evolved in assessment and diagnosis of patients with apparently bizarre complaints. The book is warmly endorsed in the Foward by Dr Oliver Sacks, who had himself once experienced unexplained pain and sensory symptoms. Dr Sacks points out that the function of the central nervous system is far more complex than we might have imagined a few decades ago, and that the concept of ‘plasticity’ may have much relevance to phenomena such as phantom limb pain and neurologically unexplained pain disorders. Dr Mailis-Gagnon has specialized in study of and treatment of patients with complex presentations and poor outcomes, and has evolved a protocol of extensive sensory testing and examinations using intravenous placebo and amytal. While these approaches may seem foreign to the usual practice of doctors, her recommendations for multidisciplinary and cognitive behavioural therapy in rehabilitation for chronic pain patients with psychological comorbidity is based on good evidence, and she is a respected clinician who has often had good results when to everyone else the case seemed hopeless. The strong point of this book is her sense of warmth and good humour and optimism, and profound respect for her patients, no matter what their history or complaint. Her feistiness, that much characterizes her in reality, also comes across with her infectious good humour, and that gives great human interest to the narrative. Another strong point is the biopsychosocial perspective. There is a great variety of fascinating personal stories, even including that of Dr Mailis-Gagnon herself, and most patients will find patients’ stories that would speak to them. Perhaps the greatest endorsement is that in the past two months three patients have come to me with this book in hand and have said that it was reassuring and helpful to read this, and that one or other patient story in it was particularly meaningful. Clinicians involved in treatment of chronic pain, and especially clinicians who see patients with medically unexplained or ‘nonorganic’ symptoms, will find her approach and her concepts on this subject interesting and engaging. It is not a textbook of diagnosis, of theory, or a how-to book, but it will likely appeal to patients who have chronic pain and who are looking for a way to understand that the biopsychosocial perspective is relevant and palatable for them as patients. It will also appeal to clinicians who have struggled with interpreting medically unexplainable complaints in their pain patients.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0450.018

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 head0.016
GPT teacher head0.218
Teacher spread0.202 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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