Evidence map›Paper›PMID 29854978›Full record

ArticleKidney international reports2018

Association Between Newborn Metabolic Profiles and Pediatric Kidney Disease.

Manish M Sood, Malia S Q Murphy, Steven Hawken, Coralie A Wong, Beth K Potter, Kevin D Burns, Anne Tsampalieros, Katherine M Atkinson, Pranesh Chakraborty, Kumanan Wilson

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Metabolomics in neonatal sepsis: A critical appraisal of current evidence.Computational and structural biotechnology journal · 2025
    Review
  3. Review
  4. Article
  5. Review
  6. Childhood Obesity: Insight into Kidney Involvement.International journal of molecular sciences · 2023
    Review
  7. Metabolic differences among newborns born to mothers with a history of leukemia or lymphoma.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2022
    Article
  8. Review
  9. Review
  10. Article
  11. 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 5 institutions in 1 country.

Manish M SoodThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Malia S Q MurphyThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Steven HawkenThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Coralie A WongInstitute for Clinical Evaluative Sciences, Ottawa, Ontario, Canada.
Beth K PotterClinical Epidemiology Program, University of Ottawa, Ontario, Canada.
Kevin D BurnsDepartment of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Anne TsampalierosThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Katherine M AtkinsonThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Pranesh ChakrabortyThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Kumanan WilsonThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
University of Ottawa · CAChildren's Hospital of Eastern Ontario · CAOttawa Hospital Research InstituteInstitute for Clinical Evaluative Sciences · CAOttawa Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolomics offers considerable promise in early disease detection. We set out to test the hypothesis that routine newborn metabolic profiles at birth, obtained through screening for inborn errors of metabolism, would be associated with kidney disease and add incremental information to known clinical risk factors.

methodsWe conducted a population-level cohort study in Ontario, Canada, using metabolic profiles from 1,288,905 newborns from 2006 to 2015. The primary outcome was chronic kidney disease (CKD) or dialysis. Individual metabolites and their ratio combinations were examined by logistic regression after adjustment for established risk factors for kidney disease and incremental risk prediction measured.

resultsCKD occurred in 2086 (0.16%, median time 612 days) and dialysis in 641 (0.05%, median time 99 days) infants and children. Individual metabolites consisted of amino acids, acylcarnitines, markers of fatty acid oxidation, and others. Base models incorporating clinical risk factors only provided c-statistics of 0.61 for CKD and 0.70 for dialysis. The addition of identified metabolites to risk prediciton models resulted in significant incremental improvement in the performance of both models (CKD model: c-statistic 0.66 NRI 0.36 IDI 0.04, dialysis model: c-statistic 0.77 NRI 0.57 IDI 0.09). This was consistent after internal validation using bootstrapping and a sensitivity analysis excluding outcomes within the first 30 days.

conclusionRoutinely collected screening metabolites at birth are associated with CKD and the need for dialytic therapies in infants and children, and add incremental information to traditional clinical risk factors.

Indexed as

chronic kidney diseasedialysisend-stage kidney diseasemetabolomicsnewborn screeningpediatricrenal failure

Identifiers

PMID29854978
PMCPMC5976820
OpenAlexW2794316384

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.