Evidence map›Paper›PMID 22449944›Full record

ReviewCurrent opinion in nephrology and hypertension2012

Advances in the use of multimarker panels for renal risk stratification.

Cristin C Weekley, Carmen A Peralta

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in nephrology and hypertension, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  4. Urinary excretion of epidermal growth factor and rapid loss of kidney function.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021
    Article
  5. 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

2 authors at 2 institutions in 1 country.

Cristin C WeekleySan Francisco VA Medical Center, San Francisco, California, USA.
Carmen A Peralta
San Francisco VA Medical Center · USUniversity of California, San Francisco · US

Funding

Racial/Ethnic Disparities in Kidney Function Decline: Genes or Environment?K23DK082793 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERALTA, CARMEN ALICIA · 2009 to 2013
$786k
NIDDK NIH HHS K23 DK082793PHS HHS 1K23SK082793-01
6 · The paper itself

Abstract

purpose of reviewThis review discusses novel studies in the past year that have examined the use of combinations of multiple markers to improve risk prediction in the setting of chronic kidney disease (CKD). We will focus on multimarker panels to: improve prediction of CKD onset; improve classification of CKD and risk stratification of persons with CKD; and develop individual-level risk scores for progression to end-stage renal disease (ESRD). RECENT

findingsOne study reported that several novel circulation biomarkers may aid in predicting incident CKD and microalbuminuria. Second, our group has shown that the combination of creatinine, cystatin C, and albuminuria improves detection and risk stratification for death, heart failure, cardiovascular events, and ESRD compared with creatinine alone. Finally, a highly accurate individual risk score was developed to predict progression to ESRD using readily available clinical markers. SUMMARY: The combination of multiple markers improves detection and risk stratification in CKD. Future research is needed in understanding the use of a 'renal panel' for detection, classification, and risk stratification in kidney disease in diverse populations. The studies presented here represent the beginning of a paradigm shift to multimarker panels in nephrology.

Indexed as

Kidney Function TestsAnimalsBiomarkersCardiovascular DiseasesChronic DiseaseDisease ProgressionHumansKidney DiseasesKidney Failure, ChronicPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsTime FactorsBiomarkers

Identifiers

PMID22449944
PMCPMC3353750
OpenAlexW2041843072

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.