Evidence map›Paper›PMID 35227967›Full record

ArticleESMO open2022

Glomerular filtration rate estimation for carboplatin dosing in patients with gynaecological cancers.

A Samani, R Bennett, K Eremeishvili, F Kalofonou, S Whear, A Montes, R Kristeleit, J Krell, I McNeish, S Ghosh and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in ESMO open, 2022. 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

A SamaniDepartment of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK. Electronic address: https://twitter.com/amit_samani1.
R BennettDepartment of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK.
K EremeishviliGuy's Cancer Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
F KalofonouDepartment of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK. Electronic address: https://twitter.com/FKalofonou.
S WhearDepartment of Surgery and Cancer, Imperial College London, London, UK.
A MontesGuy's Cancer Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
R KristeleitGuy's Cancer Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
J KrellDepartment of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK.
I McNeishDepartment of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK.
S GhoshGuy's Cancer Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK. Electronic address: https://twitter.com/sharmisthaghosh.
L TookmanDepartment of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK. Electronic address: l.tookman@imperial.ac.uk.
Imperial College Healthcare NHS Trust · GBGuy's and St Thomas' NHS Foundation Trust · GBImperial College London · GBTwitter (United States) · US

Funding

Department of Health
6 · The paper itself

Abstract

backgroundCarboplatin remains integral for treatment of gynaecological malignancies and dosing is based on glomerular filtration rate (GFR). Measurement via radiotracer decay [nuclear medicine GFR (nmGFR)] is ideal. However, this may be unavailable. Therefore GFR is often estimated using formulae that have not been validated in patients with cancer and/or specifically for gynaecological malignancies, leading to debate over optimal estimation. Suboptimal GFR estimation may affect efficacy or toxicity.

methodsWe surveyed several UK National Health Service Trusts to assess carboplatin dosing practise. We then explored single-centre accuracy, bias and precision of various formulae for GFR estimation, relative to nmGFR, before validating our findings in an external cohort.

resultsAcross 18 Trusts, there was considerable heterogeneity in GFR estimation, including the formulae used [Cockcroft-Gault (CG) versus Wright], weight adjustment and area under the curve (AUC; 5 versus 6). We analysed 274 and 192 patients in two centres. Overall, CamGFR v2 (a novel formula for GFR estimation developed at Cambridge University Hospitals NHS Foundation Trust) excelled, showing the highest accuracy and precision. This translated into accuracy of hypothetical carboplatin dosing; nmGFR-derived carboplatin dose fell within 20% of the Cam GFR v2-derived dose in 86.5% and 87% of patients across the cohorts. Among the CG formula and its derivatives, using adjusted body weight in those with body mass index ≥25 kg/m

conclusionsWhen compared with nmGFR assessment, accuracy, bias and precision varied widely between GFR estimators, with the newly developed Cam GFR v2 and CG-AdBW performing best. In general, weight (or body surface area)-adjusted formulae excelled, while the unadjusted CG and Wright formulae or the use of AUC6 (versus nmGFR AUC5) produced risk of significant overdose. Thus, individual centres should validate their GFR estimation methods. In the absence of validation, CG-AdBW or CamGFR v2 is likely to perform well while unadjusted CG/Wright formulae or AUC6 dosing should be avoided.

Indexed as

Antineoplastic AgentsGenital Neoplasms, FemaleBody WeightCarboplatinFemaleGlomerular Filtration RateHumansRetrospective StudiesState MedicineAntineoplastic AgentsCarboplatincarboplatinchemotherapyglomerular filtration rategynaecological cancerstoxicity

Identifiers

PMID35227967
PMCPMC9058909
OpenAlexW4214513744

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.