Evidence map›Paper›PMID 28747168›Full record

ArticleBMC nephrology2017

The biobank for the molecular classification of kidney disease: research translation and precision medicine in nephrology.

Daniel A Muruve, Michelle C Mann, Kevin Chapman, Josee F Wong, Pietro Ravani, Stacey A Page, Hallgrimur Benediktsson

Abstract readLetter
In one paragraph

Article in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Observational
  11. The role of inflammasomes in kidney disease.Nature reviews. Nephrology · 2019
    Review
  12. Article
  13. Article
  14. Prospects for Precision Medicine in Glomerulonephritis Treatment.Canadian journal of kidney health and disease · 2018
    Review
  15. Trends in Biopsy-Based Diagnosis of Kidney Disease: A Population Study.Canadian journal of kidney health and disease · 2018
    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

7 authors.

Daniel A MuruveDepartment of Medicine, Snyder Institute for Chronic Diseases, University of Calgary, 3280 Hospital Dr. NW, Calgary, AB, T2N 4N1, Canada. dmuruve@ucalgary.ca.ORCID http://orcid.org/0000-0003-1757-218X
Michelle C MannDepartment of Medicine, Snyder Institute for Chronic Diseases, University of Calgary, 3280 Hospital Dr. NW, Calgary, AB, T2N 4N1, Canada.
Kevin ChapmanDepartment of Medicine, Snyder Institute for Chronic Diseases, University of Calgary, 3280 Hospital Dr. NW, Calgary, AB, T2N 4N1, Canada.
Josee F WongSnyder Institute for Chronic Diseases, University of Calgary, Calgary, AB, Canada.
Pietro RavaniDepartment of Medicine, Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada.
Stacey A PageDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
Hallgrimur BenediktssonDepartment of Pathology and Laboratory Medicine, University of Calgary and Calgary Laboratory Services, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in technology and the ability to interrogate disease pathogenesis using systems biology approaches are exploding. As exemplified by the substantial progress in the personalized diagnosis and treatment of cancer, the application of systems biology to enable precision medicine in other disciplines such as Nephrology is well underway. Infrastructure that permits the integration of clinical data, patient biospecimens and advanced technologies is required for institutions to contribute to, and benefit from research in molecular disease classification and to devise specific and patient-oriented treatments. METHODS AND

resultsWe describe the establishment of the Biobank for the Molecular Classification of Kidney Disease (BMCKD) at the University of Calgary, Alberta, Canada. The BMCKD consists of a fully equipped wet laboratory, an information technology infrastructure, and a formal operational, ethical and legal framework for banking human biospecimens and storing clinical data. The BMCKD first consolidated a large retrospective cohort of kidney biopsy specimens to create a population-based renal pathology database and tissue inventory of glomerular and other kidney diseases. The BMCKD will continue to prospectively bank all kidney biopsies performed in Southern Alberta. The BMCKD is equipped to perform molecular, clinical and epidemiologic studies in renal pathology. The BMCKD also developed formal biobanking procedures for human specimens such as blood, urine and nucleic acids collected for basic and clinical research studies or for advanced diagnostic technologies in clinical care. The BMCKD is guided by standard operating procedures, an ethics framework and legal agreements with stakeholders that include researchers, data custodians and patients. The design and structure of the BMCKD permits its inclusion in a wide variety of research and clinical activities.

conclusionThe BMCKD is a core multidisciplinary facility that will bridge basic and clinical research and integrate precision medicine into renal pathology and nephrology.

Indexed as

Biological Specimen BanksCohort StudiesFemaleHumansKidneyKidney DiseasesMaleNephrologyPrecision MedicineRetrospective StudiesTranslational Research, BiomedicalBiobankDatabaseKidney diseasePrecision medicineRenal pathology

Identifiers

PMID28747168
PMCPMC5530477

What OpenQuestion holds

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LicenceCC BY
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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.