Evidence map›Paper›PMID 23728003›Full record

ArticleKidney international2013

How to find a prognostic biomarker for progressive diabetic nephropathy.

Frank C Brosius, Subramaniam Pennathur

Abstract readComment
In one paragraph

Article in Kidney international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Dickkopf-3 (DKK3) in Urine Identifies Patients with Short-Term Risk of eGFR Loss.Journal of the American Society of Nephrology : JASN · 2018
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Nonblood/urine biomarker of progression of kidney disease in diabetes mellitus.Clinical journal of the American Society of Nephrology : CJASN · 2015
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Frank C BrosiusDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA. fbrosius@umich.edu
Subramaniam Pennathur
University of Michigan · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Martin G Myers · 2013 to 2026
$24.3M
Integrated Systems Biology Approach to Diabetic Microvascular ComplicationsR24DK082841 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABCOUWER, STEVEN F, BROSIUS, FRANK C · 2008 to 2020
$13.1M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9M
Tissue-Specific Metabolic Reprogramming in Diabetic ComplicationsDP3DK094292 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROSIUS, FRANK C, BURANT, CHARLES F · 2011 to 2011
$5.5M
NIDDK NIH HHS DK082841NIDDK NIH HHS DP3 DK094292NIDDK NIH HHS DP3-DK094292NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30-DK081943NIDDK NIH HHS R24 DK082841
6 · The paper itself

Abstract

As a prognostic biomarker for progression of diabetic nephropathy, albuminuria fails in terms of sensitivity and specificity. Better urinary or plasma biomarkers are needed that can predict which diabetic patients are at highest risk for progression. Bhensdadia et al. report proteomic investigations that identified urinary haptoglobin as a potential prognostic biomarker for progressive diabetic nephropathy. Although as a single marker urinary haptoglobin adds little to albuminuria, together the two appear to provide better diagnostic accuracy than albuminuria alone.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesFemaleHaptoglobinsHumansKidneyMaleHaptoglobinsHP protein, human

Identifiers

PMID23728003
PMCPMC3994989
OpenAlexW2026896168

What Socratic 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 Socratic graph.