Evidence map›Paper›PMID 33172416›Full record

ArticleBMC nephrology2020

Money matters: a multicenter cross-sectional study of depressive symptoms among the caregivers of children on peritoneal dialysis in Mainland China.

Rui Zhao, Ying Gu, Xia Shen, Xianying Mai, Cheng Zhou, Yufen Zhang, Yihui Zhai, Qian Shen, Hong Xu, Qing Zhou

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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 at 4 institutions in 1 country.

Rui ZhaoNephrology Department, Children's Hospital of Fudan University, Shanghai, 201102, China.
Ying GuNursing Department, Children's Hospital of Fudan University, Shanghai, China.
Xia ShenNephrology Department, Children's Hospital of Fudan University, Shanghai, 201102, China.
Xianying MaiNephrology Department, Children's Hospital of Chongqing Medical University, Chongqing, China.
Cheng ZhouNephrology Department, The 2nd Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wen Zhou, Zhejiang Province, China.
Yufen ZhangNephrology Department, Zhengzhou Children's Hospital, Zhengzhou, Henan Province, China.
Yihui ZhaiNephrology Department, Children's Hospital of Fudan University, Shanghai, 201102, China.
Qian ShenNephrology Department, Children's Hospital of Fudan University, Shanghai, 201102, China.
Hong XuNephrology Department, Children's Hospital of Fudan University, Shanghai, 201102, China.
Qing ZhouNephrology Department, Children's Hospital of Fudan University, Shanghai, 201102, China. nat-1981@163.com.ORCID 0000-0002-5234-1304
Children's Hospital of Fudan University · CNChildren's Hospital of Chongqing Medical University · CNWenzhou Medical University · CNZhengzhou Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe caregivers of children on peritoneal dialysis face heavy care burdens and may have a high risk of depression. This study aimed to describe the prevalence and severity of depression and identify its related demographic and socioeconomic factors in the caregivers of children on peritoneal dialysis in China.

methodsA multicenter cross-sectional study was conducted in four pediatric dialysis centers in four tertiary children's hospitals in mainland China. Primary caregivers of children with end-stage kidney disease and currently on peritoneal dialysis were screened and recruited from December 2018 to July 2019. A self-developed questionnaire and the Self-Rating Depression Scale (SDS) were administered to the participants by a trained nurse in each center. The chi-square test or Fisher's exact test, one-way ANOVA, and the Mann-Whitney U test were used to compare the prevalence of depressive symptoms by demographic features. A multivariate logistic regression analysis was used to identify factors related to depressive symptoms in caregivers of children on peritoneal dialysis.

resultsOne hundred twenty-one caregivers were included in the data analysis. The mean age of the caregivers was 40.1 ± 8.1 years. More than 75% of the participants were female, married, and unemployed. The overall prevalence of depressive symptoms was 59%. In total, 46 (38%), 20 (17%) and 5 (4%) caregivers reported mild, moderate, and severe depressive symptoms, respectively. In the univariate analysis, caregivers with an average household income per month under 4000 RMB and caregivers of children undergoing laparoscopic surgery had a higher prevalence of depressive symptoms. Characteristics such as treatment center, duration on PD, PD modalities, and history of peritonitis episodes showed no difference in terms of the prevalence of depressive symptoms. The multivariate logistic regression analysis demonstrated that an average household income per month under 4000 RMB was the associated factor for caregivers' depressive symptoms.

conclusionsThe caregivers of children on peritoneal dialysis in mainland China were socially vulnerable and experienced depression. Those who had a higher average household income were less vulnerable to depression.

Indexed as

Renal DialysisAdolescentAdultCaregiversChildChinaCross-Sectional StudiesDepressionFemaleHumansIncomeLogistic ModelsMaleMiddle AgedParentsPrevalenceCaregiversChildCross-sectional studiesDepressionPeritoneal dialysis

Identifiers

PMID33172416
PMCPMC7653820
OpenAlexW3100783299

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.