Evidence map›Paper›PMID 19443624›Full record

SynthesisClinical journal of the American Society of Nephrology : CJASN2009

Searching for genes that matter in acute kidney injury: a systematic review.

Jonathan C T Lu, Steven G Coca, Uptal D Patel, Lloyd Cantley, Chirag R Parikh, Translational Research Investigating Biomarkers and Endpoints for Acute Kidney Injury (TRIBE-AKI) Consortium

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Clinical journal of the American Society of Nephrology : CJASN, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 5 pooled it
2.2field-weighted citation impact, top 12% 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

36 citing papers in PubMed, 5 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Genetic Variation and Hot Flashes: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2020
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Article
  8. Review
  9. Subphenotypes in acute kidney injury: a narrative review.Critical care (London, England) · 2022
    Review
  10. Review
  11. Genetic Susceptibility to Acute Kidney Injury.Journal of clinical medicine · 2021
    Review
  12. Review
  13. Acute Kidney Injury in the Intensive Care Unit: The Most Reliable Way to Predict the Future is to Create It.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  14. Review
  15. Review
  16. Review
  17. 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

6 authors at 3 institutions in 2 countries.

Jonathan C T LuYale University School of Medicine, New Haven, Connecticut, USA.
Steven G Coca
Uptal D Patel
Lloyd Cantley
Chirag R Parikh
Translational Research Investigating Biomarkers and Endpoints for Acute Kidney Injury (TRIBE-AKI) Consortium
Duke University · USOctober 6 University · EGVA Connecticut Research and Education Foundation · US

Funding

Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Barriers to Optimal Cardiovascular Medication Use in Diabetes and Renal DiseaseK23DK075929 · NIDDK · DUKE UNIVERSITY · PI PATEL, UPTAL D · 2006 to 2010
$677k
Urinary Biomarkers for Acute Kidney Injury in Critical IllnessF32DK076318 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G · 2007 to 2007
$67k
NHLBI NIH HHS R01 HL085757NHLBI NIH HHS R01-HL 85757NIDDK NIH HHS F32 DK076318NIDDK NIH HHS F32 DK076318-01A1NIDDK NIH HHS K23 DK075929NIDDK NIH HHS K23 DK075929-01
6 · The paper itself

Abstract

BACKGROUND AND

objectivesIdentifying patients who may develop acute kidney injury (AKI) remains challenging, as clinical determinants explain only a portion of individual risk. Another factor that likely affects risk is intrinsic genetic variability. Therefore, a systematic review of studies was performed that related the development or prognosis of AKI to genetic variation. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: MEDLINE, EMBASE, HuGEnet, SCOPUS, and Web of Science were searched for articles from 1950 to Dec 2007. Two independent researchers screened articles using predetermined criteria. Studies were assessed for methodological quality via an aggregate scoring system.

resultsThe 16 included studies were of cohort or case-cohort design and investigated 35 polymorphisms in 21 genes in association with AKI. Fifteen gene-gene interactions were also investigated in four separate studies. Study populations were primarily premature infants or adults who were critically ill or postcardiac bypass patients. Among the studies, five different definitions of AKI were used. Only one polymorphism, APO E e2/e3/e4, had greater than one study showing a significant impact (P < 0.05) on AKI incidence. The mean quality score of 5.8/10 (range four to nine), heterogeneity in the studies, and the dearth of studies precluded additional meta-analysis of the results.

conclusionsCurrent association studies are unable to provide definitive evidence linking genetic variation to AKI. Future success will require a narrow consensus definition of AKI, rigorous epidemiologic techniques, and a shift from a priori hypothesis-driven to genome-wide association studies.

Indexed as

GenomicsPolymorphism, GeneticAcute Lung InjuryGenetic Predisposition to DiseaseHumansIncidence

Identifiers

PMID19443624
PMCPMC2689876
OpenAlexW2152193452

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.