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Record W4406369752 · doi:10.3990/1.9789036525558

No pain, no gain: Measuring treatment effects in fybromyalgia

2007· dissertation· en· W4406369752 on OpenAlexaboutno aff
Tjeerd R. Zijlstra

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsnot available
FundersDutch Arthritis Association
KeywordsPsychologyMedicine

Abstract

fetched live from OpenAlex

Thesis introduction and outlineThis thesis, although written by a rheumatologist, originates from a patient initiative.In 1996 Ben Weerdmeester chaired the Dutch association of fibromyalgia patients FES (Fibromyalgiepatiënten Eendrachtig Sterk).Individual patients suffering from fibromyalgia had experienced positive results from thalasso therapy, a form of balneotherapy popular in Mediterranean countries.The executive committee of the FES thought it sensible to research this form of treatment scientifically and were willing to invest money in such a study.In an open pilot study, 14 patients visited a thalasso centre in Hammamet, Tunisia, and were enthusiastic about the treatment.Further funding for the project was granted by the Dutch Arthritis Association (Vereniging Nationaal Reumafonds) and the Foundation for Fundraising in Public Health (Stichting Fondsenwervingsacties Volksgezondheid).By the summer of 1998, I was asked to join this project.At that time I was specialising in Rheumatology, while also collecting data for the development of the Rheumatoid Arthritis Articular Damage score (RAAD).I was asked to change my subject from 'objective joint damage in a hardcore rheumatic disease' to 'alternative treatment of subjective symptoms in a chronic pain syndrome', which is something quite different.The study protocol looked solid, however, and the inclusion of a cost-effectiveness analysis made it less 'soft'.It seemed a unique and challenging project to me.Somewhat hesitantly I accepted the job.Chapter 1 of this thesis presents an overview of what was known about fibromyalgia at the time and what has been added to the literature since.By the end of March 1999, a first group of patients went to Jerba, Tunisia, followed by a second and third group in May 2000.I was pleased with their enthusiasm during the spa treatment.During follow-up it was encouraging to see the dedication of the participants, both in the intervention group and in the control group.The effects of spa treatment on FM symptoms and health-related quality of life are described in chapter 2. Results of the cost-effectiveness analysis are presented in chapter 3.With the follow-up of the spa study still going on, a new study opportunity arose.A randomised controlled trial (RCT) was set up to study if the antidepressant venlafaxine was superior to placebo in reducing pain and other fibromyalgia symptoms.This trial is described in chapter 4. At the time when we were conducting this study, an article was published on a RCT studying the effect of fluoxetine, also an antidepressant, in FM [1].Much to our surprise, in this RCT no improvement was described in patients taking placebo.This is in sharp contrast with most other drug trials for FM.We commented on this lack of a placebo effect in a Letter to the Editor, which is included as chapter 5 in this thesis.In both our trials the Fibromyalgia Impact Questionnaire (FIQ) was one of the outcome measures.Since our Dutch translation of the FIQ had not been validated yet, we also included various questionnaires for which a validated Dutch version existed.Using the data sets from both trials, we tested whether our version of the FIQ was a valid outcome measure of health-related quality of life in FM patients.The results of this validati-Chapter 1 C h a p t e r 2 Spa treatment for primary fibromyalgia syndrome: A combination of thalassotherapy, exercise and patient education improves symptoms and quality of life

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)0.013
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.286
Teacher spread0.259 · 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 designObservational
Domainnot available
GenreEmpirical

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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