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Record W3091766461 · doi:10.20883/pielpol.2020.16

Ocena bólu u chorych z przewlekłym niedokrwieniem kończyn dolnych

2020· article· pl· W3091766461 on OpenAlexaboutno aff
Beata Skokowska, Katarzyna Topolska-Małecka, Anna Bielawska, Grażyna Bączyk

Bibliographic record

VenuePielęgniarstwo Polskie · 2020
Typearticle
Languagepl
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Introduction. Peripheral artery disease (PAD) is a group of disease entities with a common background associated with the development of atherosclerosis. The most common complaint reported to the doctor by patients is pain in the lower limbs. The distance covered by the patient until the onset of pain is called intermittent claudication. In critical ischemia, limb pain also occurs at rest, often worsens at night during sleep. Aim. The objective of the study was to assess pain sensation in patients with chronic ischaemia of the lower limb. Material and methods. The study was conducted at the General and Vascular Surgery Department "D" of the Clinical University Hospital of Lord's Transfi guration in Poznan. The study was conducted using the McGill-Melzack Pain Questionnaire and the Numerical Rating Scale (NRS). The study involved 52 patients (women n = 20, 38%; men n = 32, 62%) in the age range from 52 to 82 years. Results. All study participants reported pain of the lower limbs; the mean pain intensity was 8 points according to the Numerical Scale. The most frequently mentioned pain areas were calf muscles. The most often chosen pain descriptions were: tiresome (96.15%), oppressive (96.15%), nagging (94.23%). Authors found the relationship between the degree of ischaemia according to the Fontaine classifi cation and the current pain assessment and the number of selected descriptions of pain. Conclusions. Pain occurred in all subjects with chronic lower limb ischemia. The number of pain descriptions chosen increased with the decrease of the intermittent claudication distance. The degree of ischemia of the lower limbs infl uenced the intensity of 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.016

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 head0.055
GPT teacher head0.266
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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