MétaCan
Menu
Back to cohort
Record W2411200191 · doi:10.1093/sleep/25.7.765

Incorporation of Pain in Dreams of Hospitalized Burn Victims

2002· article· en· W2411200191 on OpenAlexaff
Isabelle Raymond‐Letron, Toré Nielsen, Gilles Lavigne, Manon Choinière

Bibliographic record

VenueSLEEP · 2002
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de MontréalHôtel-Dieu de Québec
Fundersnot available
KeywordsDreamMedicineAnxietyPain catastrophizingPhysical therapyChronic painAnesthesiaPsychologyPsychiatry

Abstract

fetched live from OpenAlex

It has been shown that realistic, localized painful sensations can be experienced in dreams either through direct incorporation or from past memories of pain. Nevertheless, the frequency of pain dreams in healthy subjects is low. This prospective study was designed to evaluate the occurrence and frequency of pain in the dreams of patients suffering from burn pain. Twenty-eight nonventilated burn victims were interviewed for 5 consecutive mornings during the first week of hospitalization. A structured-interview protocol was used to collect information on dream content, quality of sleep, and pain intensity and location. Patients were also administered the Impact of Event Scale to assess posttraumatic symptoms. Thirty-nine percent of patients reported 19 pain dreams on a total of 63 dreams (30%). Patients with pain dreams showed evidence of worse sleep, more nightmares, higher intake of anxiolytic medication, and higher scores on the Impact of Event Scale than did patents reporting dreams with no pain content. Moreover, patients with pain dreams also had a tendency to report more intense pain during therapeutic procedures. Although more than half of our sample did not report pain dreams, these results suggest that pain dreams do occur at a greater frequency in suffering populations than in normal volunteers. More importantly, dreaming about pain may be an added stress for burn patents and may contribute to both poor sleep and higher pain intensity, which could evolve into a cycle of pain-anxiety-sleeplessness.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.035
GPT teacher head0.269
Teacher spread0.234 · 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 designBench or experimental
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

Citations47
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueSLEEPSame topicSleep and Wakefulness ResearchFrench-language works237,207