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Record W4408177393 · doi:10.1093/jbcr/iraf022

Complex Regional Pain Syndrome Following Minor Burns: A Rare but Significant Complication

2025· article· en· W4408177393 on OpenAlexaff
Alan D. Rogers, David K. Wallace, Paul McHardy

Bibliographic record

VenueJournal of Burn Care & Research · 2025
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsSunnybrook HospitalUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineComplicationComplex regional pain syndromeSurgery

Abstract

fetched live from OpenAlex

To the Editor, We wish to highlight an uncommon yet impactful complication in burn care: complex regional pain syndrome (CRPS) following relatively minor burn injuries. While most partial-thickness burn wounds heal satisfactorily, and scars mature with standard protocols, the onset of CRPS introduces unique challenges requiring early recognition and multidisciplinary treatment to optimize patient outcomes. Complex regional pain syndrome is a chronic neuropathic pain condition that can develop after trauma, including minor burns.1–3 We report 3 illustrative cases of CRPS following isolated superficial partial-thickness burn injuries to the feet, emphasizing the importance of vigilance and timely intervention. A 45-year-old man sustained partial-thickness scald burns to the dorsum of his feet from boiling water, which healed within 2 weeks with minimal scarring. A month after healing, he presented with severe pain disproportionate to the injury, accompanied by swelling, color changes, and hypersensitivity (Figure 1). He required crutches to walk. In a second example, A 38-year-old woman with superficial partial-thickness burns to both feet reported persistent pain 2 months after wound healing. Symptoms included intense burning pain, allodynia, and autonomic changes such as sweating and trophic skin abnormalities. In a further, example a 38-year-old male sustained a small 2 by 1-cm wound to the dorsum of the ankle after cement was spilled into his boot. It was debrided and healed after a month with dressings alone (Figure 2). He presented to the burn service 6 months later with a small scar but could not weight bear without pain and swelling, sensitivity and a “pins and needles” sensation in the region, and had not been able to return to work.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0020.001

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 head0.108
GPT teacher head0.403
Teacher spread0.295 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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