Evidence map›Paper›PMID 37092291›Full record

ArticleNursing open2023

Development and validation of medical adhesive-related skin injury risk assessment scale at peripherally inserted central catheter insertion site in oncology patients.

Yuling Li, Huijiao Zhang, Shuqing Zhang, Xiaoya Hou, Lina Feng

Abstract read
In one paragraph

Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Yuling LiDepartment of Nursing, First Hospital of Shanxi Medical University, Taiyuan, China.ORCID 0000-0002-5509-9154
Huijiao ZhangSchool of Nursing, Shanxi Medical University, Taiyuan, China.ORCID 0000-0003-4842-6353
Shuqing ZhangDepartment of Hematology, First Hospital of Shanxi Medical University, Taiyuan, China.
Xiaoya HouDepartment of Oncology, First Hospital of Shanxi Medical University, Taiyuan, China.
Lina FengDepartment of PICC Outpatient, First Hospital of Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS AND

objectivesTo construct a risk assessment scale for medical adhesive-related skin injuries (MARSI) at the peripherally inserted central catheter (PICC) insertion site in oncology patients and test its reliability and validity.

designThe STARD 2015 statement guided this study.

methodsLiterature research and a modified Delphi method were adopted in this study. A total of 31 experts participated in two rounds of consultation to build the assessment scale. A convenient sampling method was used to select 195 oncology patients at the PICC clinic from January to June 2022. Inter-rater reliability was used to test the reliability of the scale. Validity was evaluated using the content validity index (CVI) and predictive validity.

resultsAfter the two rounds of consultation, the assessment scale with five dimensions and 13 primary entries and 36 secondary entries was developed, and the expert authority coefficients for both were 0.90. The inter-rater reliability was 0.968. The CVIs of the items ranged from 0.83 to 1.00. The area under the subject's work characteristic curve was 0.757, and the sensitivity and specificity of the scale were 80.0% and 65.6%, respectively, at a cutoff score of 15.5.

Indexed as

Catheterization, Central VenousNeoplasmsSkin DiseasesAdhesivesCathetersHumansReproducibility of ResultsRisk AssessmentAdhesivesDelphi techniquemedical adhesive-related skin injuryoncologyperipherally inserted central cathetersrisk assessment

Identifiers

PMID37092291
PMCPMC10333821

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LicenceCC BY-NC-ND
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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.