Evidence map›Paper›PMID 34101756›Full record

Observational studyPloS one2021

Immune checkpoint inhibitor-associated acute kidney injury and mortality: An observational study.

Marije S Koks, Gurbey Ocak, Britt B M Suelmann, Cornelia A R Hulsbergen-Veelken, Saskia Haitjema, Marieke E Vianen, Marianne C Verhaar, Karin A H Kaasjager, Meriem Khairoun

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 5 pooled it
3.2field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 5 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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  6. The Immune Checkpoint Inhibitors Journey: From Early Promise to Lasting Impact.Journal of immunotherapy and precision oncology · 2026
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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

9 authors at 1 institution in 1 country.

Marije S KoksDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0002-0559-6881
Gurbey OcakDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Britt B M SuelmannDepartment of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Cornelia A R Hulsbergen-VeelkenCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Saskia HaitjemaCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Marieke E VianenDepartment of Internal Medicine and Dermatology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Marianne C VerhaarDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Karin A H KaasjagerDepartment of Internal Medicine and Dermatology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Meriem KhairounDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Utrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors, approved for the treatment of various types of cancer, are known to cause a unique spectrum of side effects, including acute kidney injury (AKI). The aim of this study was to describe the incidence, risk factors, renal outcomes, and mortality of AKI in patients receiving checkpoint inhibitors.

methodsPatients receiving checkpoint inhibitors between January 2013 and May 2020 at the University Medical Center Utrecht, the Netherlands, were identified using the Utrecht Patient Oriented Database. AKI was defined as an increase in serum creatinine of ≥1.5 times the baseline value, based on the Kidney Disease: Improving Global Outcomes criteria. Cox proportional hazard regression analysis was used to assess risk factors for AKI and to evaluate the relationship between AKI and mortality. Persistent renal dysfunction was diagnosed in AKI patients with a final serum creatinine measurement of >1.3 times the baseline value.

resultsAmong 676 patients receiving checkpoint inhibitors, the overall incidence of AKI was 14.2%. Baseline variables independently associated with AKI were a gynecologic malignancy, monotherapy with ipilimumab, and the use of a diuretic, angiotensin-converting enzyme inhibitor or angiotensin-receptor blocker, or proton pump inhibitor at baseline. AKI was checkpoint inhibitor-associated in one third of all patients with AKI. Checkpoint inhibitor-associated AKI was mostly low-grade, occurred a median of 15 weeks after checkpoint inhibitor initiation, and resulted in persistent renal dysfunction in approximately 40% of the patients. Patients with all-cause AKI had a twofold increased mortality risk, but checkpoint inhibitor-associated AKI was not associated with increased mortality.

conclusionsIn this study, patients receiving checkpoint inhibitors frequently developed AKI due to various etiologies. AKI directly related to the effect of checkpoint inhibitor toxicity did not increase mortality. However, AKI not related to the effect of checkpoint inhibitor toxicity was associated with increased mortality.

Indexed as

Acute Kidney InjuryAgedFemaleFollow-Up StudiesHumansImmune Checkpoint InhibitorsIncidenceMaleMiddle AgedNeoplasmsNetherlandsPrognosisRetrospective StudiesRisk FactorsSurvival RateImmune Checkpoint Inhibitors

Identifiers

PMID34101756
PMCPMC8186792
OpenAlexW3168355131

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.