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Record W2390831157

Effect of the clinical nursing pathways on anxiety and postprocedure pain of liver biopsy patients

2012· article· en· W2390831157 on OpenAlexaboutno aff
Wei You

Bibliographic record

VenueNursing Practice and Research · 2012
Typearticle
Languageen
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnxietyBiopsyIncidence (geometry)PercutaneousNursingPhysical therapyAnesthesiaInternal medicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective:To establish the perfect clinical nursing pathway of nursing for percutaneous transhepatic biopsy.And investigate the effect of the clinical nursing pathways on anxiety of liver biopsy and postprocedure pain.Methods:A total of 120 patients were divided into experimental group(60 cases) and control group(60 cases) randomly.The anxiety level was measured by Zung′s Self-Rating anxiety scale(SAS).Postprocedure pain was measured by McGill′s scale.Results:Compared with the control group,the experimental group had lower scores of anxiety(P0.05).The incidence of postprocedure pain was less in the experimental group,and the level of pain was also lower in the experimental group.The difference between the two groups was significant(P0.05).Conclusion:With the clinical nursing pathways,the anxiety of liver biopsy and postprocedure pain can be alleviated significantly.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
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)0.0020.000

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 head0.090
GPT teacher head0.493
Teacher spread0.403 · 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 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
Published2012
Admission routes1
Has abstractyes

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