Evidence map›Paper›PMID 37057998›Full record

ReviewActa physiologica (Oxford, England)2023

Estimating kidney function in patients with cancer: A narrative review.

Sophie E Claudel, Malini Gandhi, Ankit B Patel, Ashish Verma

Open access · greenAbstract readReview
In one paragraph

Review in Acta physiologica (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Noval insights and therapeutic strategies for tumor-induced kidney pathologies.Journal of experimental & clinical cancer research : CR · 2024
    Article
  8. 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 3 institutions in 1 country.

Sophie E ClaudelDepartment of Internal Medicine, Boston Medical Center, Boston, Massachusetts, USA.ORCID 0000-0002-7695-4674
Malini GandhiHarvard Medical School, Boston, Massachusetts, USA.
Ankit B PatelRenal Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Ashish VermaDepartment of Medicine, Section on Nephrology, Boston Medical Center, Boston, Massachusetts, USA.ORCID 0000-0001-9497-6327
Boston Medical Center · USBrigham and Women's Hospital · USHarvard University · US

Funding

PRIMER: Promoting Research In MEdical ResidencyR38HL143584 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Darrell N. Kotton, Matthew G. Nayor · 2020 to 2026
$2.1M
NHLBI NIH HHS R38 HL143584
6 · The paper itself

Abstract

aimAccurate evaluation of glomerular filtration rate (GFR) is crucial in Oncology as drug eligibility and dosing depend on estimates of GFR. However, there are no clear guidelines on the optimal method of determining kidney function in patients with cancer. We aimed to summarize the evidence on estimation of kidney function in patients with cancer.

methodsWe searched PubMed for literature discussing the performance of GFR estimating equations in patients with malignancy to create a table of the evidence for creatinine- and cystatin c-based equations. We further reviewed novel estimation techniques such as panel eGFR, real-time measured GFR, and functional magnetic resonance imaging.

resultsThe commonly used GFR estimating equations were derived from populations of patients without cancer. These equations may be less applicable in Oncology due to severe sarcopenia, inflammation, and other physiologic changes in patients with cancer. The Cockcroft-Gault equation currently dominates in clinical Oncology despite significant limitations and accumulating evidence for use of the CKD-EPI

conclusionOverall, we suggest using the CKD-EPI equations (either cystatin c or creatinine-based) among patients with cancer in routine clinical practice and measured GFR for patients at a critical threshold for treatment decisions.

Indexed as

NeoplasmsRenal Insufficiency, ChronicCreatinineCystatin CGlomerular Filtration RateHumansKidneyCreatinineCystatin Cclinical oncologyestimated glomerular filtration ratekidney functionmalignancymeasured glomerular filtration rate

Identifiers

PMID37057998
PMCPMC11839183
OpenAlexW4365482537

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.