Evidence map›Paper›PMID 40495851›Full record

ArticleWorld journal of psychiatry2025

Analysis of influencing factors on the nutritional status of non-dialysis elderly patients with chronic kidney disease and depression.

Zi-Yu Song, Ni Li, Hong-Bao Liu

Abstract read
In one paragraph

Article in World journal of psychiatry, 2025. 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

3 authors.

Zi-Yu SongDepartment of Nephrology, Tangdu Hospital, The Fourth Military Medical University (Air Force Medical University), Xi'an 710038, Shaanxi Province, China.
Ni LiDepartment of Nephrology, Tangdu Hospital, The Fourth Military Medical University (Air Force Medical University), Xi'an 710038, Shaanxi Province, China.
Hong-Bao LiuDepartment of Nephrology, Tangdu Hospital, The Fourth Military Medical University (Air Force Medical University), Xi'an 710038, Shaanxi Province, China. xjsnlhb@fmmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe assessment of nutritional status in non-dialysis elderly patients with chronic kidney disease (CKD) and comorbid depression is clinically important. Determining key determinants of nutritional status in this population significantly improves nutritional management strategies and assists these patients overcome the disease.

aimTo investigate the factors influencing the nutritional status of non-dialysis elderly patients with CKD and comorbid depression.

methodsThis study retrospectively collected the clinical data of 182 non-dialysis elderly patients with CKD and comorbid depression admitted at Tangdu Hospital, Air Force Medical University, from January 2022 to June 2023. The participants were categorized based on the presence of malnutrition into the nutritionally normal group (

resultsBMI, BMR, and serum Alb, Hb, PA, and Cr levels were lower in the nutritionally normal group than in the malnutrition group. Furthermore, BUN levels, PHQ-9 scores, and the percentage of anxiety symptoms were greater in the nutritionally normal group than in the normal nutrition group, with statistically significant differences (

conclusionSerum Alb, Hb, PA levels, and anxiety symptoms are all factors influencing malnutrition in non-dialysis elderly patients with CKD and depression; hence, clinical interventions can be targeted to patients with the above characteristics.

Indexed as

Chronic kidney diseaseDepressionElderly patientsMalnutritionNon-dialysis

Identifiers

PMID40495851
PMCPMC12147011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.