Evidence map›Paper›PMID 41890563›Full record

ArticleJournal of multidisciplinary healthcare2026

Competency of Nurses in Providing Dietary Guidance to Patients with Chronic Kidney Disease in Anhui Province: Influencing Factors.

Xiu-Zhi Wang, Guang-Min Cheng, Ling-Ling Yu, Mei Zhao

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Xiu-Zhi WangDepartment of Nephrology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230022, People's Republic of China.
Guang-Min ChengDepartment of Nephrology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230022, People's Republic of China.
Ling-Ling YuMa'anshan College, Ma'anshan, Anhui Province, 243100, People's Republic of China.
Mei ZhaoSchool of Nursing, Anhui Medical University, Hefei, Anhui Province, 230032, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess the competency of clinical nurses in providing dietary guidance to patients with chronic kidney disease (CKD) and to examine factors influencing this competency. Methods: A cross-sectional study was conducted across 36 secondary and tertiary hospitals in 11 prefecture-level cities in China between April and May 2024. Data were collected using validated questionnaires clinical nurse assessment tool for chronic kidney disease (CKD) dietary guidance that assessed three domains knowledge, attitudes/beliefs, and practices related to dietary guidance for CKD. Results: Out of 393 valid responses, the overall mean score for dietary guidance competency was 214.46 ± 25.94. Domain-specific mean scores for knowledge, attitude, and practice components were 3.95 ± 0.61, 4.08 ± 0.41, and 3.72 ± 0.69 respectively. Multiple linear regression analysis identified four significant predictors of competency: departmental affiliation, dedicated learning time, prior nutrition training, and leadership support for dietary education initiatives ( Conclusion: To enhance the competency of nurses in providing dietary guidance to individuals with CKD, healthcare systems should implement standardized nutrition training programs and integrate these with specialized clinical practice to optimize training outcomes.

Indexed as

attitudechronic kidney diseaseclinical nursedietary guidance abilityinfluencing factorknowledgepractice

Identifiers

PMID41890563
PMCPMC13016133

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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.