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Record W4409536385 · doi:10.1136/bcr-2024-263172

Onset of chronic pain triggered by a lifestyle-change-based weight loss and exercise regimen

2025· article· en· W4409536385 on OpenAlexaff
Lily Dawn Hopkinson, Samira Jafari, Elvin Frempong, Saman Zarghom

Bibliographic record

VenueBMJ Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversity of TorontoUniversity of Guelph
Fundersnot available
KeywordsFibromyalgiaWeight lossMedicineChronic painAnxietyRegimenPhysical therapyDepression (economics)ObesityPsychological interventionInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Exercise and weight loss are commonly recommended to patients with chronic pain; these interventions can relieve extra stress on the joints, reduce the perception of pain and combat comorbidities such as obesity, anxiety and depression. However, exercise can also exacerbate existing pain, presenting challenges for adherence to exercise and weight loss regimens. Here, we summarise the unique case of a patient who presented with chronic pain that developed during a natural weight loss regimen. The patient sought assessment due to diffuse pain that commenced after significant weight loss and was exacerbated with continued adherence to lifestyle modifications. He received a diagnosis of fibromyalgia and is currently being treated with nerve blocks and local anaesthetic injections of trigger points. This case of onset of fibromyalgia and chronic pain following lifestyle changes and weight loss underscores the need for further research aiming to understand the complex relationship between exercise, weight loss and chronic pain.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.317
Teacher spread0.296 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2025
Admission routes1
Has abstractyes

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