Evidence map›Paper›PMID 36872414›Full record

ReviewInternational journal of clinical oncology2023

Nephrotoxicity associated with anticancer agents: perspective on onconephrology from nephrologists.

Takeshi Matsubara, Hideki Yokoi, Hiroyuki Yamada, Motoko Yanagita

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
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 1 institution in 1 country.

Takeshi MatsubaraDepartment of Nephrology, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan. mtake@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-2380-1551
Hideki YokoiDepartment of Nephrology, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Hiroyuki YamadaDepartment of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Motoko YanagitaDepartment of Nephrology, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nephrotoxicity is one of the most important complications in cancer patients. In particular, acute kidney injury (AKI) is known to be associated with discontinuing effective oncological treatments, longer hospitalizations, increased costs, and a higher risk of death. In addition to acute kidney injury, clinical signs associated with nephrotoxicity during treatment with anticancer agents include chronic kidney disease, proteinuria, hypertension, electrolyte abnormalities, and other characteristic manifestations. Many of these signs are caused both by cancer treatment as well as by cancer itself. Therefore, it is important to carefully recognize whether the underlying causes of renal impairment in cancer patients are cancer-related, treatment-related, or both. This review describes the epidemiology and pathophysiology of anticancer agent-induced acute kidney injury, proteinuria, hypertension, and other characteristic manifestations.

Indexed as

Acute Kidney InjuryAntineoplastic AgentsHypertensionNeoplasmsHumansNephrologistsProteinuriaAntineoplastic AgentsAcute interstitial nephritis (AIN)Acute kidney injury (AKI)Thrombotic microangiopathy (TMA)

Identifiers

PMID36872414
OpenAlexW4323269576

What Socratic 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 Socratic graph.