Evidence map›Paper›PMID 20517290›Full record

ReviewNature reviews. Nephrology2010

Drug-induced acute interstitial nephritis.

Mark A Perazella, Glen S Markowitz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 1 pooled it
11.7field-weighted citation impact, top 1% 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

146 citing papers in PubMed, 1 synthesis or guideline pooled it, 366 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Review
  5. Article
  6. Review
  7. Observational
  8. Article
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  11. Urinary CD4Scientific reports · 2026
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  15. Review
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86 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

2 authors at 1 institution in 1 country.

Mark A PerazellaSection of Nephrology, Yale University School of Medicine, FMP 107, 330 Cedar Street, New Haven, CT 06520-8029, USA.
Glen S Markowitz
Columbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute interstitial nephritis (AIN) is a common cause of acute kidney injury. Many etiologies of AIN have been recognized--including allergic/drug-induced, infectious, autoimmune/systemic, and idiopathic forms of disease. The most common etiology of AIN is drug-induced disease, which is thought to underlie 60-70% of cases. Multiple agents from many different classes of drugs can cause AIN, and the clinical presentation and laboratory findings vary according to the class of drug involved. AIN is characterized by interstitial inflammation, tubulitis, edema, and in some cases, eventual interstitial fibrosis. A definitive diagnosis of AIN can be established only by kidney biopsy. Noninvasive tests such as (67)gallium scintigraphy and testing for eosinophiluria have limited diagnostic utility. The mainstay of therapy for drug-induced AIN is timely discontinuation of the causative agent. Although the benefits of corticosteroid therapy remain unproven, they do appear to have a positive effect in some patients with drug-induced AIN, especially when treatment is initiated early in the course of the disease. In general, the prognosis for drug-induced AIN is good, and at least partial recovery of kidney function is normally observed. Early recognition is crucial because patients can ultimately develop chronic kidney disease.

Indexed as

Acute Kidney InjuryBiopsyDiagnosis, DifferentialHumansKidneyNephritis, Interstitial

Identifiers

PMID20517290
OpenAlexW2047477313

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.