Evidence map›Paper›PMID 40060078›Full record

ReviewIndian journal of nephrology

Nutrition Compass: Guiding Patients with Chronic Kidney Disease Across Ages.

Sukanya Govindan, Arpana Iyengar, Subashri Mohanasundaram, P S Priyamvada

Abstract readReview
In one paragraph

Review in Indian journal of nephrology. 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.

Sukanya GovindanDepartment of Pediatric Nephrology, Mehta Multispeciality Hospitals India Private Limited, Chennai, Tamil Nadu, India.
Arpana IyengarDepartment of Pediatric Nephrology, St. John's National Academy of Health Sciences, Bangalore, India.
Subashri MohanasundaramDepartment of Nephrology, Prashanth Superspeciality Hospital, Chennai, Tamil Nadu, India.
P S PriyamvadaDepartment of Nephrology, Jawaharlal Institute of Postgraduate Education and Research, Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malnutrition, encompassing both undernutrition and overnutrition, is prevalent among patients with chronic kidney disease (CKD). It is influenced by a myriad of factors, including dietary restrictions, metabolic irregularities, inflammation, and comorbidities. It leads to increased morbidity, mortality, and diminished quality of life. In children, malnutrition hinders growth and development, particularly during infancy and early childhood. This article provides a comprehensive overview of current terminologies delineating undernutrition and overnutrition in CKD, and discusses age-specific nutritional assessment tools. It delves into macro- and micronutrient prescriptions tailored for both adults and children with CKD, emphasizing special considerations such as low and very low protein diets. A focus on the nutrient content of Indian foods is also provided, alongside available nutritional supplements, with insights into enteral feeding and the fortification of feeds in young children. Distinctive nuances in nutritional therapy between adults and children are elucidated throughout the article, drawing upon established guidelines, including Kidney Disease Outcomes and Quality Initiative (KDOQI) 2009 and 2020 and KDIGO CKD 2024 guidelines as well as Pediatric Renal Nutrition Task Force clinical practice recommendations, to inform dietary management strategies for individuals across the lifespan living with CKD.

Indexed as

Chronic kidney diseaseDietary managementIndian dietNutritional assessmentPediatric CKD

Identifiers

PMID40060078
PMCPMC11883316

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.