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Record W4387960441 · doi:10.5114/pm.2023.131970

Pethidine dependence syndrome in a patient with stump pain

2023· article· en· W4387960441 on OpenAlexaboutno aff
Monika Sznajder, Katarzyna Malinowska, Anna Zasowska‐Nowak

Bibliographic record

VenueMedycyna Paliatywna · 2023
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPethidineMedicinePalliative careSurgical oncologyInternal medicineAnesthesiaNursingAnalgesic

Abstract

fetched live from OpenAlex

W pracy przedstawiono przypadek pacjenta, który z powodu bólu kikuta leczony był petydyną przez kilkanaście lat.W związku z licznymi obciążeniami o charakterze somatycznym (objawy związane z współistniejącą chorobą nowotworową), psychicznym (zaburzenia depresyjno--lękowe) i socjalnym (niepełnosprawność), niewystarczającym wsparciem ze strony otoczenia oraz niewłaściwie prowadzoną terapią przeciwbólową chory samodzielnie poszukiwał sposobów radzenia sobie z trudną dla niego sytuacją, co doprowadziło do wystąpienia zespołu uzależnienia od petydyny.Zastosowanie leku przynosiło choremu doraźną ulgę w wymiarze fizycznym, prowadząc jednak do utrwalenia nieprawidłowych zachowań oraz pogorszenia jakości życia.W pracy przedstawiono sposób, w jaki przeprowadzono rotację opioidów, uzyskując dobrą kontrolę bólu.Opis przypadku uzupełniono komentarzem psychologa.

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)0.000
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.028
GPT teacher head0.301
Teacher spread0.273 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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