Evidence map›Paper›PMID 34676115›Full record

ReviewJournal of nutrition and metabolism2021

Nutritional Assessment and Management in Paediatric Chronic Kidney Disease.

Jumanah Ziyad Azzouz, Osama Yousef Safdar, Farah Idriss Awaleh, Alya Abdullah Khoja, Ali Alawi Alattas, Abdulkarim Abbas Jawhari

Open access · goldAbstract readReview
In one paragraph

Review in Journal of nutrition and metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Malnutrition management in children with chronic kidney disease.Pediatric nephrology (Berlin, Germany) · 2025
    Review
  3. Review
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

6 authors at 1 institution in 1 country.

Jumanah Ziyad AzzouzKing Abdulaziz University Hospital, Jeddah, Saudi Arabia.
Osama Yousef SafdarCenter of Excellence in Pediatric Nephrology, King Abdulaziz University, Jeddah, Saudi Arabia.
Farah Idriss AwalehKing Abdulaziz University Hospital, Jeddah, Saudi Arabia.
Alya Abdullah KhojaKing Abdulaziz University Hospital, Jeddah, Saudi Arabia.
Ali Alawi AlattasKing Abdulaziz University Hospital, Jeddah, Saudi Arabia.
Abdulkarim Abbas JawhariKing Abdulaziz University Hospital, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0002-8470-7788
King Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutrition in paediatrics has always been one of the most important factors for optimal growth. Children with chronic kidney disease (CKD) need special consideration for better long-term outcomes, including nutritional status, optimal height, and cognitive function. Nonetheless, there are many obstacles to overcome to attain optimal linear growth and nutritional status in children with CKD. This review highlights the need for tools to assess the growth parameters in CKD. In addition, recommendations for dietary intake play a major role in controlling electrolyte disturbances in patients with CKD. For example, it is still unclear whether it is better to restrict phosphate sources in inorganic, organic, or food additives. The review also summarises different factors such as fluid intake, route of feeding, and essential nutrients that require particular attention in paediatric patients with CKD. In summary, a multidisciplinary team is needed to devise individual nutritional plans to achieve the best outcome and improve the quality of life of patients.

Identifiers

PMID34676115
PMCPMC8526268
OpenAlexW3205864123

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.