Evidence map›Paper›PMID 36541418›Full record

ArticleRevista da Escola de Enfermagem da U S P2022

Clinical validation of the nursing diagnosis "Risk for delayed child development".

Nádia Proença de Melo, Juliana Martins de Souza, Samara Macedo Cordeiro, Maria de La Ó Ramallo Veríssimo

Open access · diamondAbstract read
In one paragraph

Article in Revista da Escola de Enfermagem da U S P, 2022. 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
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

4 authors at 4 institutions in 1 country.

Nádia Proença de MeloUniversidade Nove de Julho, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-4863-8516
Juliana Martins de SouzaUniversidade Federal de Catalão, Catalão, GO, Brazil.ORCID http://orcid.org/0000-0001-7527-3394
Samara Macedo CordeiroFaculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-4972-3790
Maria de La Ó Ramallo VeríssimoUniversidade de São Paulo, Escola de Enfermagem, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-5474-0245
Faculdade de Ciências Médicas da Santa Casa de São Paulo · BRUniversidade de São Paulo · BRUniversidade Federal de Catalão · BRUniversidade Nove de Julho · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo validate clinically the risk factors of the nursing diagnosis "Risk for delayed child development".

methodCross-sectional quantitative study carried out in a specialty outpatient clinic and in family health units with 124 children. The data was collected through interviews with the children's guardians to investigate the risk factors for delay in child development.

resultsThe tested risk factors affected 108 of the evaluated children (87.1%). In the accuracy tests, most specificity values were above 80% and sensitivity values were lower than 30%. Most risk factors had odds ratio >1, three of which were noteworthy: genetic disorder (OR = 38, p < 0.05) and congenital disorder (OR = 4.4, p < 0.05), among child-related aspects, and impaired cognitive development in parents (OR = 27, p < 0.05), among caregiver-related aspects.

conclusionThe study contributed to a refined diagnostic accuracy, identifying potential associated factors of the evaluated diagnosis.

Indexed as

Child DevelopmentNursing DiagnosisCross-Sectional StudiesHumansParentsRisk Factors

Identifiers

PMID36541418
PMCPMC10081643
OpenAlexW4312093825

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.