Evidence map›Paper›PMID 40115227›Full record

ArticleRevista Cuidarte

Factors associated with nursing diagnoses in chronic kidney patients: a cross-sectional study.

André Emanuel Dantas-Mercês, Christielle Lidianne Alencar-Marinho, Flávia Emília Cavalcante Valença-Fernandes, Evanilda Souza de Santana-Carvalho, Wilson Cañon-Montañez, Rudval Souza-da-Silva

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Article in Revista Cuidarte. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

André Emanuel Dantas-MercêsRN, University of State of Bahia (UNEB/7), Senhor do Bonfim, BA, Brazil. E-mail: med.merces@gmail.com University of State of Bahia Brazil med.merces@gmail.com.
Christielle Lidianne Alencar-MarinhoRN, MSc, is an Auxiliar Professor at Nursing Collegiate, University of State of Bahia (UNEB/7), Senhor do Bonfim, BA, Brazil. E-mail: christiellealencar@yahoo.com.br University of State of Bahia Brazil christiellealencar@yahoo.com.br.
Flávia Emília Cavalcante Valença-FernandesRN, PhD, is an Adjunct Professor at Nursing Collegiate, University of Pernambuco - Petrolina Campus, Petrolina, PE, Brazil. E-mail: flavia.fernandes@upe.br University of Pernambuco Brazil flavia.fernandes@upe.br.
Evanilda Souza de Santana-CarvalhoRN, PhD, is a Full Professor State University of Feira de Santana. Feria de Santana, BA, Brazil and Permanent Professor of the Postgraduate Program in Nursing and Health at the Federal University of Bahia. E-mail: evasscarvalho@uefs.br University of Bahia Brazil evasscarvalho@uefs.br.
Wilson Cañon-MontañezRN, PhD, is an Associate Professor at Faculty of Nursing, Universidad de Antioquia, Medellín, Colombia. E-mail: wilson.canon@udea.edu.co Universidad de Antioquia Universidad de Antioquia Colombia wilson.canon@udea.edu.co.
Rudval Souza-da-SilvaRN, PhD, is an Adjunct Professor at Nursing Collegiate, University of State of Bahia (UNEB/7), Senhor do Bonfim, BA, Brazil and Permanent Professor of the Postgraduate Program in Nursing and Health at the Federal University of Bahia. E-mail: rudsouza@uneb.br Federal University of Bahia Brazil rudsouza@uneb.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To the care plan, the nurses must use the nursing process and adopt their perspectives, cognitive and documentary, considering the human responses of each chronic kidney disease patient, todefinethenursingdiagnoses, results, andinterventions.This study is aimed to analyze the nursing diagnoses of NANDA-I in chronic renal patients and its association with clinical and sociodemographic variables. Materials and Methods: Analytical cross-sectional study, performed with chronic renal patients undergoing hemodialysis. The study population consisted of 177 medical records of chronic kidney disease patients. They were selected in the pre-established period of six months: July to December 2018. It was used the Google Forms® platform to import the data directly to Microsoft Excel® Program by generating an electronic spreadsheet that allowed organizing the data, this was then transcribed to the Stata 14.0 software to perform thestatisticalanalyses. Results: Theriskforbleedingdiagnosisshowed a significant difference with the variable access route (p = 0.02); risk for falls was associated with the variables age, occupation, education (p <0.01) and excessive fluid volume with the variable duration of treatment (p = 0.01). Discussion: In the case of nursing diagnoses, these must be planned and documented based on a standardized nursing language, with NANDA-I. Conclusion: The findings of this study showed the main nursing diagnoses and its association with clinical and sociodemographic variables in chronic renal patients in a Brazilian context. Future research may lead to implement care plans for the most prevalent nursing diagnoses in this type of population.

Identifiers

PMID40115227
PMCPMC11292595

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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.