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Record W2161344815 · doi:10.1016/j.jpain.2007.09.005

Interpreting the Clinical Importance of Treatment Outcomes in Chronic Pain Clinical Trials: IMMPACT Recommendations

2007· article· en· W2161344815 on OpenAlexaff
Robert H. Dworkin, Dennis C. Turk, Kathleen W. Wyrwich, Dorcas Beaton, Charles S. Cleeland, John T. Farrar, Jennifer A. Haythornthwaite, Mark P. Jensen, Robert D. Kerns, Deborah N. Ader, Nancy A. Brandenburg, Laurie B. Burke, David Cella, Julie Chandler, Penny Cowan, Rozalina Dimitrova, Raymond A. Dionne, Sharon Hertz, Alejandro R. Jadad, Nathaniel P. Katz, Henrik Kehlet, Lynn D. Kramer, Donald C. Manning, Cynthia G. McCormick, Michael McDermott, Henry J McQuay, Sanjay Patel, Linda Porter, Steve Quessy, Bob A. Rappaport, Christine Rauschkolb, Dennis A. Revicki, Margaret Rothman, Kenneth E. Schmader, Brett R. Stacey, Joseph Stauffer, Thorsten von Stein, Richard E. White, James Witter, Stojan Zavisic

Bibliographic record

VenueJournal of Pain · 2007
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity Health NetworkInstitute for Work & HealthUniversity of Toronto
Fundersnot available
KeywordsChronic painMedicineClinical trialPhysical therapyBeck Depression InventoryRating scaleMoodBrief Pain InventoryDepression (economics)Clinical psychologyPsychiatryPsychologyAnxietyInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.667
metaresearch head score (Gemma)0.905
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.333
Threshold uncertainty score0.411

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6670.905
Meta-epidemiology (narrow)0.0060.005
Meta-epidemiology (broad)0.0180.016
Bibliometrics0.0150.013
Science and technology studies0.0060.024
Scholarly communication0.0250.021
Open science0.0200.012
Research integrity0.0340.033
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 head0.131
GPT teacher head0.521
Teacher spread0.390 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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

Citations3,405
Published2007
Admission routes1
Has abstractno

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