Evidence map›Paper›PMID 32691342›Full record

ReviewJournal of nephrology2020

COVID-19 and the kidney: what we think we know so far and what we don't.

Samira S Farouk, Enrico Fiaccadori, Paolo Cravedi, Kirk N Campbell

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Journal of nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05185700 (Post Covid 19 Syndrome), which is not on this map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 5% 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.

NCT05185700 unknown statusnot on this mapstarted 2022, after this paper: background citation

Post Covid 19 Syndrome

TypeobservationalSponsorAssiut UniversityRan2022 to 2023Enrolled180ConditionsCOVID-19Armspost covid 19 symtoms
3 · Its place in the literature

Who cites it

73 citing papers in PubMed, 1 synthesis or guideline pooled it, 122 citations in OpenAlex.

  1. Prognostic Performance of Cystatin C in COVID-19: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Review
  16. Article
  17. Long-short-term memory machine learning of longitudinal clinical data accurately predicts acute kidney injury onset in COVID-19: a two-center study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  18. Article
  19. Article
  20. Observational

13 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 2 countries.

Samira S FaroukDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Box 1243, One Gustave L. Levy Place, 10029, New York, NY, USA.ORCID http://orcid.org/0000-0001-5598-5925
Enrico FiaccadoriAcute and Chronic Renal Failure Unit, Department of Clinical and Experimental Medicine, University of Parma, Parma, Italy.
Paolo CravediDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Box 1243, One Gustave L. Levy Place, 10029, New York, NY, USA.
Kirk N CampbellDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Box 1243, One Gustave L. Levy Place, 10029, New York, NY, USA. kirk.campbell@mssm.edu.ORCID http://orcid.org/0000-0003-3855-8651
Icahn School of Medicine at Mount Sinai · USUniversity of Parma · IT

Funding

Plasminogen in glomerular disease progressionR01DK126477 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Kirk N Campbell · 2020 to 2026
$3.8M
NIDDK NIH HHS R01 DK126477
6 · The paper itself

Abstract

The novel coronavirus disease infection (COVID-19) outbreak that was declared a global pandemic in March 2020 had led to an internationally variable but concerning incidence of COVID-associated acute kidney injury (AKI), with prevalence reported as high as 46% in large cohorts of hospitalized patients. Variability in AKI may be explained by differences in traditional risk factors for AKI, heterogeneity among patient cohorts, and differences in racial and ethnic groups. Further, AKI requiring kidney replacement therapies (KRT) has been associated with increased mortality. Proposed mechanisms of kidney injury include direct viral-induced tubular or glomerular injury, sepsis-associated AKI, and thrombotic disease. Kidney pathology include acute tubular injury, glomerular fibrin thrombi, pigmented tubular casts, and collapsing focal segmental glomerulosclerosis. "Viral-like" particles have been observed in renal samples at electron microscopy and viral RNA has been identified in both glomerular and tubular compartments of kidney specimens, but the link between viral presence and injury remain unclear. Though the link between AKI and poor outcomes is clear, prevalence and outcomes of COVID-19 in patients with chronic kidney disease and end stage kidney disease has not yet been reported. In patients on immunosuppression like those with kidney transplants or glomerular disease, COVID-19 has presented a management dilemma. Herein, we review the existing literature on kidney disease in COVID-19 and discuss what remains to be learned.

Indexed as

PandemicsSARS-CoV-2ComorbidityCOVID-19HumansKidney Failure, ChronicRenal Replacement TherapyAcute kidney injuryCOVID-19Kidney transplantSARS-CoV2

Identifiers

PMID32691342
PMCPMC7370875
OpenAlexW3042864281

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.