Evidence map›Paper›PMID 28495544›Full record

ArticleMathematical biosciences2017

Modeling glucose metabolism and lactate production in the kidney.

Ying Chen, Brendan C Fry, Anita T Layton

Abstract read
In one paragraph

Article in Mathematical biosciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  3. Observational
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  5. Article
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  8. Lactate metabolism and acute kidney injury.Chinese medical journal · 2025
    Review
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  11. Article
  12. Article
  13. Article
  14. Review
  15. Treprostinil reduces mitochondrial injury during rat renal ischemia-reperfusion injury.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Article
  16. Review
  17. Review
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  19. Article
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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

3 authors at 2 institutions in 1 country.

Ying ChenDepartment of Mathematics, Duke University, Durham, NC, United States.
Brendan C FryDepartment of Mathematical and Computer Sciences, Metropolitan State University of Denver, Denver, CO, United States.
Anita T LaytonDepartment of Mathematics, Duke University, Durham, NC, United States. Electronic address: alayton@math.duke.edu.
Duke University · USMetropolitan State University of Denver · US

Funding

Unraveling Kidney Physiology, Pathophysiology & Therapeutics: A Modeling ApproachR01DK106102 · NIDDK · DUKE UNIVERSITY · PI LAYTON, ANITA · 2016 to 2019
$1.4M
NIDDK NIH HHS R01 DK106102
6 · The paper itself

Abstract

The metabolism of glucose provides most of the ATP required for energy-dependent transport processes. In the inner medulla of the mammalian kidney, limited blood flow and O

Indexed as

Models, BiologicalAdenosine TriphosphateAnimalsComputer SimulationGlucoseKidneyKidney MedullaKidney TubulesLactic AcidRatsAdenosine TriphosphateGlucoseLactic AcidAnaerobic respirationGlycolysisRenal physiology

Identifiers

PMID28495544
PMCPMC5533195
OpenAlexW2612872076

What OpenQuestion holds

Textmetadata
LicenceTDM
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.