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Record W2380728893 · doi:10.7326/acpjc-2004-140-1-a11

Patients at the center: In our practice, and in our use of language

2004· article· en· W2380728893 on OpenAlexaffabout
Víctor M. Montori, P.J. Devereaux, Holger J. Schünemann, Mohit Bhandari

Bibliographic record

VenueACP Journal Club · 2004
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineCenter (category theory)Family medicine

Abstract

fetched live from OpenAlex

EditorialJanuary 1, 2004Patients at the center: In our practice, and in our use of languageGordon Guyatt, MD, Victor Montori, MD, P. J. Devereaux, MD, Holger Schünemann, MD, Mohit Bhandari, MDGordon Guyatt, MDDepartments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.), Victor Montori, MDDepartments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.), P. J. Devereaux, MDDepartments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.), Holger Schünemann, MDDepartments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.), Mohit Bhandari, MDDepartments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/ACPJC-2004-140-1-A11 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinkedInRedditEmail In a formerly widespread approach to medical decision-making, physicians made a diagnosis, considered the management alternatives, and informed patients what would be done to help them. Decision-making rested exclusively in the physicians' domain.This parental model of patient care challenged clinicians to interpret what was best for their patients. How much benefit must a treatment offer before it was worth subjecting a patient to its short-term side effects, long-term risks, inconveniences, and costs? With the clinician at the center of decision-making, the question was whether a treatment effect was "clinically relevant." Even in the discipline of health-related quality-of-life measurement, investigators ...References1 Arora NK, McHorney CA. Patient preferences for medical decision making: who really wants to participate? Med Care. 2000;38:335-41. [PMID: 10718358] Google Scholar2 Stapf C, Mohr JP. Ischemic stroke therapy. Annu Rev Med. 2002;53:453-75. [PMID: 11818485] Google Scholar3 Inzerillo A, Iqbal J, Troen B, Meier DE. Skeletal fragility in the elderly. In: Cassel CK, ed. Geriatric Medicine: An Evidence-based Approach. 4th ed. New York: Springer-Verlag; 2003. Google Scholar4 Echt DS, Liebson PR, Mitchell LB, et al. Mortality and morbidity in patients receiving encainide, flecainide, or placebo. The Cardiac Arrhythmia Suppression Trial. N Engl J Med. 1991;324:781-8. [PMID: 1900101] Google Scholar5 Rossouw JE, Anderson GL, Prentice RL; Writing Group for the Women's Health Initiative Investigators. Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results From the Women's Health Initiative randomized controlled trial. JAMA. 2002;288:321-33. [PMID: 12117397] Google Scholar6 Xamoterol in severe heart failure. The Xamoterol in Severe Heart Failure Study Group. Lancet. 1990;336:1-6. [PMID: 1694945] Google Scholar7 Packer M, Carver JR, Rodeheffer RJ, et al. Effect of oral milrinone on mortality in severe chronic heart failure. The PROMISE Study Research Group. N Engl J Med. 1991;325:1468-75. [PMID: 1944425] Google Scholar8 Packer M, Rouleau JL, Svedberg K, Pitt B, Fisher L. Effect of flosequinan on survival in chronic heart failure: preliminary results of the PROFILE study. Circulation. 1993;88(Suppl I):I-301. Google Scholar9 Hampton JR, van Veldhuisen DJ, Kleber FX, et al. Randomised study of effect of ibopamine on survival in patients with advanced severe heart failure. Second Prospective Randomised Study of Ibopamine on Mortality and Efficacy (PRIME II) Investigators. Lancet. 1997;349:971-7. [PMID: 9100622] Google Scholar10 Califf RM, Adams KF, McKenna WJ, et al. A randomized controlled trial of epoprostenol therapy for severe congestive heart failure: The Flolan International Randomized Survival Trial (FIRST). Am Heart J. 1997;134:44-54. [PMID: 9266782] Google Scholar11 Cook DJ, Guyatt GH, Jaeschke R, et al. Determinants in Canadian health care workers of the decision to withdraw life support from the critically ill. Canadian Critical Care Trials Group. JAMA. 1995;273:703-8. [PMID: 7853627] Google Scholar12 Devereaux PJ, Anderson DR, Gardner MJ, et al. Differences between perspectives of physicians and patients on anticoagulation in patients with atrial fibrillation: observational study. BMJ. 2001;323:1218-22. [PMID: 11719412] Google Scholar13 Whelan T, Sawka C, Levine M, et al. Helping patients make informed choices: a randomized trial of a decision aid for adjuvant chemotherapy in lymph node-negative breast cancer. J Natl Cancer Inst. 2003;95:581-7. [PMID: 12697850] Google Scholar14 Edwards A, Elwyn G. Evidence-based Patient Choice: Inevitable or Impossible? New York: Oxford University Press; 2001. Google Scholar15 Charles C, Gafni A, Whelan T. Decision-making in the physician-patient encounter: revisiting the shared treatment decision-making model. Soc Sci Med. 1999;49:651-61. [PMID: 10452420] Google Scholar16 Little P, Everitt H, Williamson I, et al. Preferences of patients for patient centred approach to consultation in primary care: observational study. BMJ. 2001;322:468-72. [PMID: 11222423] Google Scholar17 O'Connor AM, Stacey D, Entwistle V, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2003;(2):CD001431. [PMID: 12804407] Google Scholar18 Berger M, Muhlhauser I. Diabetes care and patient-oriented outcomes. JAMA. 1999;281:1676-8. [PMID: 10328053] Google Scholar19 Sweeney KG, MacAuley D, Gray DP. Personal significance: the third dimension. Lancet. 1998;351:134-6. [PMID: 9439510] Google Scholar20 Early Breast Cancer Trialists' Collaborative Group. Treatment of Early Breast Cancer: Volume 1–Worldwide Evidence 1985-1990. Oxford: Oxford University Press; 1990. Google Scholar Author, Article, and Disclosure InformationAffiliations: Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.)Departments of Medicine and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (G.G., V.M., P.J.D., H.S., M.B.) PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoPatients at the center: in our practice, and in our use of language David S. Goldfarb Cited byOpioid Analgesic Use and Risk for Invasive Pneumococcal DiseasesToshihiko Takada, PhD and Yuki Kataoka, MD, MPH January 1, 2004Volume 140, Issue 1Page: A11KeywordsArrhythmiaAtrial fibrillationCardiac outputDrugsEjection fractionEnzyme inhibitorsHeartHeart failureHemorrhageHypertensionLipid profilesMyocardial infarctionPatient advocacyPatientsPrevention, policy, and public healthQuality of lifeStrokeTreatment guidelines ePublished: 9 March 2020 Issue Published: January 1, 2004 Copyright & PermissionsCopyright © 2004 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...

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)0.007
metaresearch head score (Gemma)0.050
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: Commentary · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.050
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0030.005
Scholarly communication0.0100.007
Open science0.0040.001
Research integrity0.0240.025
Insufficient payload (model declined to judge)0.0080.004

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 head0.054
GPT teacher head0.452
Teacher spread0.397 · 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
GenreCommentary

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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Citations145
Published2004
Admission routes2
Has abstractyes

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