Evidence map›Paper›PMID 39894038›Full record

ArticleNursing & health sciences2025

Relationship Between Preoperative Fasting Duration and Anxiety Levels With Postoperative Pain, Nausea-Vomiting, and Sleep Quality in Orthopedic Surgical Patients: A Cross-Sectional Study.

İnci Kirtil, Ebrar Aydin

Abstract read
In one paragraph

Article in Nursing & health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

İnci KirtilDepartment of Nursing, Faculty of Health Sciences, Yeditepe University, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-1731-5282
Ebrar AydinDepartment of Nursing, Faculty of Health Sciences, Yeditepe University, Istanbul, Turkey.ORCID https://orcid.org/0009-0005-0248-4816

Funding

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 1919B012314805
6 · The paper itself

Abstract

This study is a cross-sectional study aimed to determine the association between preoperative fasting time and anxiety level and early postoperative pain intensity, nausea-vomiting severity, and sleep quality in patients undergoing orthopedic surgery. The study was conducted between March and June 2024 and completed with 188 patients. In the study, patient information form, Amsterdam Preoperative Anxiety and Information Scale, and Richards-Campbell Sleep Questionnaire were used. Correlation analysis indicated a significant negative correlation between postoperative sleep quality and pain intensity. There was a significant positive correlation between preoperative anxiety level and preoperative solid food fasting and fluid fasting times. According to the multiple linear regression model, preoperative anxiety level was found to have a significant effect on pain severity, and pain severity at the postoperative 24th hour significantly affected postoperative sleep quality. Adjusting patients' fasting durations prior to surgical interventions according to evidence-based guideline recommendations and monitoring anxiety closely are simple, practical, and safe measures that could alleviate postoperative pain and nausea-vomiting and improve sleep quality, potentially enhancing outcomes, comfort, and the quality of care.

Indexed as

AnxietyFastingOrthopedic ProceduresPostoperative Nausea and VomitingPostoperative PainSleep QualityAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPreoperative PeriodSurveys and QuestionnairesTime Factorsanxietynausea and vomitingpostoperative painpreoperative fastingsleep quality

Identifiers

PMID39894038
PMCPMC11787914

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.