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Record W4313880220 · doi:10.1080/00207144.2022.2160256

Patients Participating in Nasogastric Tube Insertion through Hypnoanalgesia during High-dose Chemotherapy-induced Aplasia

2023· article· en· W4313880220 on OpenAlexaff
Magali Granger, Norah Anthony, Cécile Lermenier, Delphine Hue, Jean-Baptiste Méar, Roch Houot, aline Moignet-Autrel, Marc Bernard, Thierry Lamy

Bibliographic record

VenueInternational Journal of Clinical and Experimental Hypnosis · 2023
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsUniversity HospitalWestern University
Fundersnot available
KeywordsMedicineTube (container)VomitingSurgeryChemotherapyAplasiaFeeding tubeAnesthesia

Abstract

fetched live from OpenAlex

The insertion of a nasogastric (NG) tube is often a difficult experience for both patients and caregivers. This often results in a high failure rate of NG insertion. This pilot study aimed to evaluate the effectiveness, tolerance, and acceptability of hypnoanalgesia to assist self-insertion of an NG tube. Patients undergoing high-dose chemotherapy for autologous or allogeneic hematopoietic stem cell transplantation (HSCT) or acute leukemia and with high risk of aplasia were included in the study. A total of 38 patients were included during 6 consecutive months. They all achieved successful NG tube self-insertion. The NG tube remained in place during hospitalization in 32 cases for an average duration of 15 days. Six patients rejected the NG tube during vomiting but they all voluntarily attempted it again later on and succeeded. The discomfort related to NG-tube insertion was mild. This pilot study suggests that NG tube self-insertion assisted by hypnoanalgesia may be effective, well-accepted, and well-tolerated in patients. These promising findings will need further confirmation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.071
GPT teacher head0.414
Teacher spread0.342 · 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 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
Published2023
Admission routes1
Has abstractyes

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