Evidence map›Paper›PMID 38947587›Full record

ArticleCureus2024

Chronic Kidney Disease Study in Diabetic Patients: Insights From Primary Care Units in Northern Portugal.

Ricardo J Afonso, Maria Teixeira, Diana Murteira, Nilza Tavares, Magui Neto, Hugo A Gomes, Brenda G Jorge, Jéssica Tavares, Maria Santos, Cristiana Soares

Abstract read
In one paragraph

Article in Cureus, 2024. 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
–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

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

10 authors.

Ricardo J AfonsoUSF (Family Health Unit) Salvador Machado, Unidade Local de Saúde (ULS) Entre Douro e Vouga, Oliveira de Azeméis, PRT.
Maria TeixeiraUSF (Family Health Unit) Salvador Machado, Unidade Local de Saúde (ULS) Entre Douro e Vouga, Oliveira de Azeméis, PRT.
Diana MurteiraUSF (Family Health Unit) Salvador Machado, Unidade Local de Saúde (ULS) Entre Douro e Vouga, Oliveira de Azeméis, PRT.
Nilza TavaresUSF (Family Health Unit) Salvador Machado, Unidade Local de Saúde (ULS) Entre Douro e Vouga, Oliveira de Azeméis, PRT.
Magui NetoUSF (Family Health Unit) Salvador Machado, Unidade Local de Saúde (ULS) Entre Douro e Vouga, Oliveira de Azeméis, PRT.
Hugo A GomesUSF (Family Health Unit) Santo António, Unidade Local de Saúde (ULS) Barcelos/Esposende, Barcelos, PRT.
Brenda G JorgeUSF (Family Health Unit) Salvador Machado, Unidade Local de Saúde (ULS) Entre Douro e Vouga, Oliveira de Azeméis, PRT.
Jéssica TavaresUSF (Family Health Unit) Entre Margens, Unidade Local de Saúde (ULS) Entre Douro e Vouga, Pinheiro da Bemposta, PRT.
Maria SantosUSF (Family Health Unit) Calâmbriga, Unidade Local de Saúde (ULS) Entre Douro e Vouga, Vale de Cambra, PRT.
Cristiana SoaresUSF (Family Health Unit) Calâmbriga, Unidade Local de Saúde (ULS) Entre Douro e Vouga, Vale de Cambra, PRT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Diabetes mellitus (DM) remains a primary cause of morbidity and mortality, leading to complications such as blindness, kidney failure, and lower limb amputations. Early detection of kidney damage, indicated by microalbuminuria (MA), is crucial for managing DM. Given the impact of these conditions, evaluating the prevalence of chronic kidney disease (CKD) in diabetic populations within primary healthcare is essential. Methodology This was a cross-sectional and observational study. Adults diagnosed with DM type 1 or 2

Indexed as

albuminuriachronic renal insufficiencydiabetes mellitusdiabetic nephropathiesprimary health care

Identifiers

PMID38947587
PMCPMC11214725

What OpenQuestion holds

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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.