Evidence map›Paper›PMID 42293275›Full record

ArticleJournal of advanced pharmaceutical technology & research

Clinical characteristics, medication use, and mortality outcomes in pediatric chronic kidney disease: A retrospective study at national hospital in Jakarta.

Aprilita Rina Yanti Eff, Selvia Yuliana, Nadiya Nurul Afifah, Ade Heryana

Abstract read
In one paragraph

Article in Journal of advanced pharmaceutical technology & research. 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

4 authors.

Aprilita Rina Yanti EffDepartment of Pharmacy, Faculty of Health Sciences, Universitas Esa Unggul, Jakarta, Indonesia.
Selvia YulianaDepartment of Pharmacy, Faculty of Health Sciences, Universitas Esa Unggul, Jakarta, Indonesia.
Nadiya Nurul AfifahDepartment of Pharmacy, Faculty of Health Sciences, Universitas Esa Unggul, Jakarta, Indonesia.
Ade HeryanaDepartment of Public Health Sciences, Faculty of Health Sciences, Universitas Esa Unggul, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) in children necessitates the use of a variety of drugs to reduce disease progression and manage complications. Polypharmacy is common in children with CKD, which can increase the occurrence of harmful drug interactions. This study aimed to evaluate drug prescribing patterns and their association with mortality in pediatric CKD patients at X Hospital Jakarta, using disease stage as a critical variable. This retrospective observational study examined 124 children with CKD from January 2020 to December 2024. The correlation among mortality, polypharmacy, and CKD stage was assessed by bivariate analysis (Spearman test). Lexicomp and Stockley's Drug Interactions analyzed drug interactions. Survival analysis was performed using Kaplan-Meier curves and Cox regression. The study results showed that the population was predominantly male (52.4%) and aged 13-16 years (33.06%), with 70.16% of patients having CKD Stage G5. Prescribed drugs included antihypertensives, antibiotics, anemia treatments, and immunosuppressants. The majority of medication interactions (89.4%) were classified as moderate in severity. Although polypharmacy was highest in Stage G5, the correlation test revealed no significant relationship between CKD stage and polypharmacy (Spearman's coefficient, 0.105;

Indexed as

Drug interactionmortalitypediatric chronic kidney diseaseprescribing pattern

Identifiers

PMID42293275
PMCPMC13262908

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.