Evidence map›Paper›PMID 31915969›Full record

ArticleCancer chemotherapy and pharmacology2020

Formulae recently proposed to estimate renal glomerular filtration rate improve the prediction of carboplatin clearance.

Melanie White-Koning, Marie Noëlle Paludetto, Félicien Le Louedec, Laurence Gladieff, Christine Chevreau, Etienne Chatelut, Florent Puisset

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Cancer chemotherapy and pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  3. Article
  4. Article
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  6. Article
  7. Observational
  8. Review
  9. Ovarian cancer in the older patient: where are we now? What to do next?Therapeutic advances in medical oncology · 2023
    Review
  10. Observational
  11. CamGFR v2: A New Model for Estimating the Glomerular Filtration Rate from Standardized or Non-standardized Creatinine in Patients with Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Melanie White-KoningCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, 2 Avenue Hubert Curien, CS53717, 31037, Toulouse CEDEX 1, France.
Marie Noëlle PaludettoCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, 2 Avenue Hubert Curien, CS53717, 31037, Toulouse CEDEX 1, France.
Félicien Le LouedecCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, 2 Avenue Hubert Curien, CS53717, 31037, Toulouse CEDEX 1, France.
Laurence GladieffOncology Department, Institut Universitaire du Cancer Toulousain (IUCT) Oncopole, Institut Claudius Regaud, 1 avenue Irène Joliot-Curie, Toulouse CEDEX 9, 31059, France.
Christine ChevreauOncology Department, Institut Universitaire du Cancer Toulousain (IUCT) Oncopole, Institut Claudius Regaud, 1 avenue Irène Joliot-Curie, Toulouse CEDEX 9, 31059, France.
Etienne ChatelutCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, 2 Avenue Hubert Curien, CS53717, 31037, Toulouse CEDEX 1, France.
Florent PuissetCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, 2 Avenue Hubert Curien, CS53717, 31037, Toulouse CEDEX 1, France. puisset.florent@iuct-oncopole.fr.ORCID http://orcid.org/0000-0002-3083-5784
Université Toulouse III - Paul Sabatier · FRInstitut Claudius Regaud · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhile doses of carboplatin are mostly individualized according to the Calvert equation based on estimated Glomerular Filtration Rate (eGFR), there is still uncertainty regarding the best formula to predict GFR. Since Janowitz et al. recently proposed a new equation predicting GFR in cancer patients, we aimed to compare this equation to other carboplatin clearance (carboCL) predicting formulae.

methodsThe actual carboCL of 491 patients was compared to predicted carboCL according to the Calvert formula using several equations to predict GFR (Janowitz, Cockcroft-Gault, MDRD, CKD-EPI, CKD-EPI with cystatin C (CKD-EPI-cysC)); and according to two others that directly predict carboCL (Chatelut and Thomas). The formulae were compared on Mean Percentage Error (MPE), Mean Absolute Percentage Error (MAPE) and percentage of patients with a prediction error above 20% (P20).

resultsThe MPE, MAPE and P20 were, respectively, within the ranges - 5.2 to + 5.9%; 14.0-21.2% and 23-46%. The MAPE and P20 of Calvert-CKD-EPI-cysC were the lowest. The performance of Calvert-CKD-EPI was better than that of other creatinine-based formulae although not significantly different from the Calvert-Janowitz formula. Among formulae based on creatinine only, Calvert-CKD-EPI and Calvert-Janowitz are the least influenced by patient characteristics.

conclusionWhereas CysC improves carboplatin CL prediction, the Calvert-CKD-EPI equation seems the most suitable creatinine-based formula to predict carboCL homogeneously in all subgroups of patients.

Indexed as

AdultAgedAged, 80 and overArea Under CurveCarboplatinCreatinineFemaleGlomerular Filtration RateHumansKidneyKineticsMaleMiddle AgedRenal Insufficiency, ChronicYoung AdultCarboplatinCreatinineCarboplatinCreatinineCystatin CIndividual dosing

Identifiers

PMID31915969
OpenAlexW2999466022

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.