Evidence map›Paper›PMID 30031444›Full record

ArticleKidney international2018

Crossroads of metabolism and CKD.

Takehiro Suzuki, Takaaki Abe

Erratum issuedAbstract readComment
PubMed Publisher
In one paragraph

Article in Kidney international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Takehiro SuzukiDepartment of Medical Science, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan; Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Takaaki AbeDepartment of Medical Science, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan; Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Clinical Biology and Hormonal Regulation, Tohoku University Graduate School of Medicine, Sendai, Japan. Electronic address: takaabe@med.tohoku.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensitive and useful biomarkers for predicting chronic kidney disease (CKD) and its prognosis are urgently needed. Using a nontargeted metabolomic approach, Hu et al. explored an established CKD cohort, Modification of Diet in Renal Disease, as well as a validation cohort, African American Study of Kidney Disease and Hypertension. They identified 3 serum metabolites (ribonate, fumarate, and allantoin) significantly associated with mortality in CKD even after statistical adjustment by multiple clinical covariates including glomerular filtration rate and urinary protein. Their finding develops a new aspect for diagnosing and predicting the prognosis of CKD.

Indexed as

Glomerular Filtration RateRenal Insufficiency, ChronicBiomarkersHumansHypertensionMetabolomicsPrognosisBiomarkers

Identifiers

PMID30031444

What OpenQuestion holds

Textmetadata
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.