Evidence map›Paper›PMID 37900334›Full record

ArticleSisli Etfal Hastanesi tip bulteni2023

Investigation of Kidney Morphology and Somatotype Components in Early-Stage Kidney Patients.

Hilal Er Ulubaba, Fahri Safa Cinarli, Rukiye Ciftci, Ozkan Ulutas

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In one paragraph

Article in Sisli Etfal Hastanesi tip bulteni, 2023. 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 37% 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, 2 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 1 institution in 2 countries.

Hilal Er UlubabaDepartment of Radiology, Yesilyurt Hasan Calik State Hospital, Malatya, Türkiye.
Fahri Safa CinarliDepartment of Movement and Training Science, Inonu University, Malatya, Türkiye.
Rukiye CiftciDepartment of Anatomy, Inonu University, Malatya, Türkiye.
Ozkan UlutasDepartment of Nephrology, Inonu University, Malatya, Türkiye.
State Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The aim of this study is to examine the kidney morphology and somatotype components of adult patients with early-stage chronic kidney disease (CKD). Methods: The sample consisted of 46 individuals with early-stage CKD (26 men and 20 women, mean age=45.92±16.53 years). The pathological subjects were compared with a control group consisting of 46 healthy subjects (28 men and 18 women, mean age=41.96±11.48 years). The Heath-Carter method was used to determine somatotype components. Abdominal computed tomography (CT) of patients with Stage 2 CKD and healthy volunteers taken within the past 3 months was scanned to determine kidney morphology. Kidney measurements were performed on CTs (length, width, depth, and volume of kidney). Results: Kidney patients (mean somatotype: 6.33-5.37-0.6) were less ectomorphic and more endomorphic than the controls (mean somatotype: 4.35-4.40-3.02). Moderate effect size (ES) was found in endomorphy (ES=0.87; p=0.035) and ectomorphy (ES=1.08; p=0.012) between groups. No significant difference was observed in the kidney morphology (ES=0.04-0.19; p>0.05). Conclusion: In the early-stage CKD, kidney morphology may not be the distinguishing factor. On the other hand, patients differed significantly in terms of endomorph components. Being overweight can also be one of the negative findings for kidney disease. Somatotype classification could be a suitable tool for monitoring kidney disease.

Indexed as

Chronic kidney diseasecomputed tomographymorphologysomatotype

Identifiers

PMID37900334
PMCPMC10600599
OpenAlexW4387194846

What OpenQuestion holds

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LicenceCC BY-NC
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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.