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Record W2146639594 · doi:10.1200/jco.2005.04.002

Talking to a Patient

2005· article· en· W2146639594 on OpenAlexaffabout
Frank L. Meyskens, Päivi Hietanen, Ian F. Tannock

Bibliographic record

VenueJournal of Clinical Oncology · 2005
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

VOLUME NUMBER JULY J OURNAL OF C LINICAL O NCOLOGY T H E A R T O F O N C O L O G Y: When the Tumor Is Not the Target Talking to a Patient Frank L. Meyskens Jr, Pa¨ivi Hietanen, and Ian F. Tannock From the Chao Family Comprehensive Cancer Center, University of California Irvine, Orange, CA; the Finnish Medical Journal, Helsinki, Finland; Princess Margaret Hospital, Toronto, Canada. Submitted October 24, 2004; accepted March 11, 2005. Authors’ disclosures of potential con- flicts of interest are found at the end of this article. Address reprint requests to Frank L. Meyskens Jr, Professor of Medicine and Biological Chemistry Director, Chao Family Comprehensive Cancer Center, University of California Irvine, 101 The City Drive, Route 81, Building 56, Room 210, Orange, CA 92868; e-mail: flmeyske@uci.edu. © 2005 by American Society of Clinical Oncology 0732-183X/05/2319-4463/$20.00 DOI: 10.1200/JCO.2005.04.002 SEND AND RECEIVE “It’s only a little spot.” I have cancer. “We can get it all out” They’re going to crack my chest. “The radiation only produces a little sunburn.” My neighbor got fried. “The chemotherapy isn’t bad” My mom barfed for days. “It’s just a small shadow on your spine” I’m going to be paralyzed, I’m going to have pain. “It seems to have spread to your liver but there is this new drug. . . ..” I’m going to be a guinea pig, I’m going to die. One fact, one reality. Two truths. One sent, one received. Frank Meyskens, MD COMMENTARY In this simple but poignant poem, the doc- tor tells the patient bad news using euphe- misms, belittling the seriousness of the message. The patient reacts to this by inter- preting the words in a most gloomy way. Neither the words of the doctor nor those of the patient represent reality. Those of the doctor reflect the well-intentioned, but mis- guided, policy of trying to protect patients by describing the effects of cancer and its treatment in gentler terms than are likely to be experienced; the patient responds with an exaggerated response that also misinterprets the effects of the disease and its treatment. Suppose that the words of the doctor and the patient were reversed. The doctor would then be seen as sadistic, because “truth” without empathy is cruel. Words form a limited part of the com- munication between doctor and patient. Here the interpretation and reaction of the patient suggest that the doctor’s words are thrown in the air lightly, creating anger in the patient. The content of the words might become more acceptable if qualified by ex- planation and delivered in a sensitive and serious tone that invited discussion of their meaning. The doctor must encourage rather than block the response of the patient, an- swer their questions and respond to them in realistic and understandable terms. It is im- portant for the doctor to express feelings and emotions, and also to recognize and acknowl- edge those of the patient, which may include anxiety, disappointment, grief, and anger. The patient needs information about their disease but also needs time and space for shaping thoughts about their situation. Per Salander interviewed patients with ter- minal cancer and, on the basis of his studies, introduced a concept called “creative illu- sion.” 1,2 This means that even patients with incurable disease who are aware of the seri- ousness of their illness need the possibility of dreaming and fantasizing about their future. This is not denial, but coping with the vicin- ity of giving up one’s life. It is possible for the doctor to tell the facts in a sensitive way and at the same time leave room for hope and illusion. Patients like doctors who are able to find words of hope in difficult situations. “Your mind and body are so strong despite Information downloaded from jco.ascopubs.org and provided by at UNIV OF CALIFORNIA IRVINE on December 22, 2014 Copyright © 2005 American from Society of Clinical Oncology. All rights reserved.

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)0.010
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 score0.173
Threshold uncertainty score0.579

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.1730.061

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 head0.561
GPT teacher head0.629
Teacher spread0.068 · 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".

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Citations3
Published2005
Admission routes2
Has abstractyes

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