Evidence map›Paper›PMID 40131875›Full record

ArticleAdvances in skin & wound care2025

Comparison of Effectiveness of Chinese Association of Operating Room Nurses-Based Nursing Care and Routine Nursing in Reducing Intraoperative Pressure Injury in Patients Undergoing Neurosurgery.

Miaomiao Jiang, Jianshu Cai, Luping Li, Xiaoling Huang

Abstract readComparative Study
In one paragraph

Article in Advances in skin & wound care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Miaomiao JiangIn the Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, Miaomiao Jiang, MD, is Nurse-in-Charge; Jianshu Cai, MD, is Nurse-in-Charge; Luping Li, BA, is Nurse-in-Charge; and Xiaoling Huang, BA, is Co-Chief Superintendent Nurse and Associate Professor of Nursing.
Jianshu Cai
Luping Li
Xiaoling Huang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the effectiveness of Chinese Association of Operating Room Nurses (CORN)-based nursing care against that of routine nursing for reducing intraoperative pressure injury (PI) in patients undergoing neurosurgery.

methodsConvenience sampling was used to select patients who received neurosurgery between March 1, 2022, and June 30, 2022, at a grade A hospital in Zhejiang Province, China, as the study participants (N = 100). Participants were divided into a control group (n = 50) and an observation group (n = 50). The control group received routine intraoperative nursing care for PIs based on the nursing team's clinical experience and judgment. For the observation group, the CORN scale was applied to conduct comprehensive evaluation and implement nursing interventions.

resultsThe incidence of intraoperative PI was significantly lower in the observation group than in the control group. Further, PIs were more likely to occur among patients who underwent neurosurgery in the prone position.

conclusionsCompared with routine intraoperative nursing, CORN-based nursing care can effectively reduce the incidence of intraoperative PI among patients undergoing neurosurgery and improve nursing quality. The findings indicate that CORN-based nursing care has potential value in clinical application.

Indexed as

Neurosurgical ProceduresOperating Room NursingPressure UlcerAdultAgedChinaFemaleHumansIncidenceMaleMiddle AgedNeurosurgeryOperating RoomsCORN scaleefficacyneurosurgeryoperation roompressure injury

Identifiers

PMID40131875
PMCPMC12039907

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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.