Evidence map›Paper›PMID 34603692›Full record

ArticleClinical kidney journal2021

Acute tubulointerstitial nephritis and COVID-19.

Jia H Ng, Mohamad Zaidan, Kenar D Jhaveri, Hassan Izzedine

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

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  16. A Rare Case of Granulomatous Interstitial Nephritis in a Patient With COVID-19.Journal of investigative medicine high impact case reports
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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

4 authors at 3 institutions in 2 countries.

Jia H NgDepartment of Medicine, Division of Kidney Diseases and Hypertension, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, NY, USA.ORCID https://orcid.org/0000-0002-2276-4111
Mohamad ZaidanDepartment of Nephrology, Dialysis, Transplantation, Bicêtre University Hospital, Paris-Saclay University, AP-HP, DMU CORREVE Maladies du Coeur et Des Vaisseaux, Le Kremlin-Bicêtre, France.
Kenar D JhaveriDepartment of Medicine, Division of Kidney Diseases and Hypertension, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, NY, USA.
Hassan IzzedineDepartment of Nephrology, Peupliers Private Hospital, Ramsay Générale de Santé, Paris, France.ORCID https://orcid.org/0000-0001-6249-9837
Donald & Barbara Zucker School of Medicine at Hofstra/Northwell · USGénérale de Santé · FRUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is an ongoing pandemic that to date has spread to >100 countries. Acute kidney injury is not uncommon with this disease. The most common kidney biopsy finding is acute tubular injury. Glomerular diseases such as collapsing glomerulopathy and vasculitis, and thrombotic microangiopathy have been reported. Viral inclusion particles with distinctive spikes in the tubular epithelium and podocytes, and endothelial cells of the glomerular capillary loops, have been visualized by electron microscopy by some but disputed by others as non-viral structures. Interstitial infiltrates have not commonly been described in the published kidney biopsy series from patients with COVID-19. Medications used to treat COVID-19 can lead to interstitial nephritis, but very few have been reported. In summary, interstitial kidney disease is a rare finding in COVID-19.

Indexed as

acute tubulointerstitial nephritiscoronavirusSARS-CoV-2

Identifiers

PMID34603692
PMCPMC8344665
OpenAlexW3185986021

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.