Evidence map›Paper›PMID 35373014›Full record

ArticleKidney3602021

Comparison of Equations To Estimate Glomerular Filtration Rate and Their Impact on Frequency of Cisplatin-associated Acute Kidney Injury.

Shveta S Motwani, Toni K Choueiri, Ann H Partridge, Jiani Hu, Marina D Kaymakcalan, Sushrut S Waikar, Gary C Curhan

Abstract read
In one paragraph

Article in Kidney360, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

7 authors.

Shveta S MotwaniRenal Division, Brigham and Women's Hospital, Boston, Massachusetts.ORCID 0000-0001-6570-3389
Toni K ChoueiriDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Ann H PartridgeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Jiani HuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Marina D KaymakcalanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Sushrut S WaikarRenal Division, Brigham and Women's Hospital, Boston, Massachusetts.
Gary C CurhanRenal Division, Brigham and Women's Hospital, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate estimation of kidney function is essential for patient selection and drug dosing in patients with cancer. eGFR equations are necessary for decision making and monitoring. Our aim was to identify which of these equations-estimated creatinine clearance (eCrCl) by Cockcroft-Gault (CG), eGFR by Modification of Diet in Renal Disease (eGFR Methods: We assembled a cohort of 5274 patients with cancer treated with cisplatin-based chemotherapy at two large cancer centers. We ascertained the frequency of cisplatin-associated AKI (C-AKI) defined as a ≥0.3 mg/dl rise in serum creatinine over baseline. We compared baseline eGFR and eCrCl using Bland-Altman (B-A) plots, coefficients of variation (CV), and concordance correlation coefficients. We calculated the positive predictive value (PPV), negative predictive value (PPV), accuracy, and area under the curve (AUC). Results: Patients were predominantly middle aged (median 58 years, IQR 49-66 years), overweight (median BMI 26.2, IQR 23.1-29.8 kg/m Conclusions: On the basis of its superior diagnostic performance, eGFR

Indexed as

Acute Kidney InjuryCisplatinCreatinineGlomerular Filtration RateHumansKidney Function TestsMiddle AgedCisplatinCreatinineacute kidney injuryacute kidney injury and ICU nephrologychemotherapy toxicitycisplatin-associated AKIcisplatin nephrotoxicityCKD-EPIcreatinineeGFRGFRkidney functionkidney function testingMDRDnephrotoxicityonco-nephrologyprevention of nephrotoxicity

Identifiers

PMID35373014
PMCPMC8741004

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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.