Evidence map›Paper›PMID 28646618›Full record

ArticleJournal of diabetes investigation2018

Tryptophan as a surrogate prognostic marker for diabetic nephropathy.

Chien-An Chou, Chia-Ni Lin, Daniel Tsun-Yee Chiu, I-Wen Chen, Szu-Tah Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
    Review
  3. Review
  4. Article
  5. Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
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  10. Review
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  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Plasma Kynurenine: A Promising Marker for the Assessment of Renal Functions.International journal of tryptophan research : IJTR · 2022
    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

5 authors at 1 institution in 1 country.

Chien-An ChouDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan.
Chia-Ni LinDepartment of Laboratory Medicine, Chang Gung Memorial Hospital Linkou Branch, Chang Gung University, Taoyuan, Taiwan.
Daniel Tsun-Yee ChiuDepartment of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
I-Wen ChenDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan.
Szu-Tah ChenDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan.ORCID http://orcid.org/0000-0003-2262-1775
Chang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionDiabetic nephropathy is one of the leading causes of end-stage renal disease. Unfortunately, reliable surrogate markers for predicting the prognostic outcome of diabetic nephropathy are as yet absent. In order to find new markers in predicting the progression of diabetic nephropathy, we carried out a prospective study by investigating the correlation between serum metabolites and the annual change of estimated glomerular filtration rate (eGFR). MATERIALS AND

methodsFrom September 2013 to September 2015, 52 diabetes patients at various stages of chronic kidney disease were enrolled. While serum levels of 175 metabolites were measured by AbsoluteIDQ™ p180 kit, only those with a significant difference in advancing chronic kidney disease stages were selected. After then, serial renal function change of these patients was followed up for 12 months, the outcome of renal function with each selected metabolite was compared according to the occurrence of a rapid decline (sustained annual decrement rate ≥5%) of eGFR.

resultsA total of 26 metabolites were found to be significantly associated with the severity of chronic kidney disease. Tryptophan (Trp) showed a significant association with the event of rapid decline in eGFR (P = 0.036). Serum concentration of Trp <44.20 μmol/L showed the most valuable predictive value with 55.6% sensitivity and 87% specificity.

conclusionsA lower level of Trp, especially <44.20 μmol/L, was related to a rapid decline in eGFR. Accordingly, Trp might be regarded as a potential prognostic marker for diabetic nephropathy.

Indexed as

AdultBiomarkersDiabetic NephropathiesDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisProspective StudiesSensitivity and SpecificityTryptophanBiomarkersTryptophanDiabetic nephropathyPrognostic markerTryptophan

Identifiers

PMID28646618
PMCPMC5835459
OpenAlexW2675626947

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.