Evidence map›Paper›PMID 31750418›Full record

ArticleJNCI cancer spectrum2019

Multicenter Validation of the CamGFR Model for Estimated Glomerular Filtration Rate.

Edward H Williams, Claire M Connell, James M J Weaver, Ian Beh, Harry Potts, Cameron T Whitley, Nicholas Bird, Tamer Al-Sayed, Phillip J Monaghan, Martin Fehr and 15 more

Open access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

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

25 authors at 16 institutions in 4 countries.

Edward H WilliamsSee the Notes section for the full list of authors' affiliations.ORCID 0000-0001-9187-2258
Claire M ConnellSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-6696-8415
James M J WeaverSee the Notes section for the full list of authors' affiliations.
Ian BehSee the Notes section for the full list of authors' affiliations.
Harry PottsSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-3098-0527
Cameron T WhitleySee the Notes section for the full list of authors' affiliations.
Nicholas BirdSee the Notes section for the full list of authors' affiliations.
Tamer Al-SayedSee the Notes section for the full list of authors' affiliations.
Phillip J MonaghanSee the Notes section for the full list of authors' affiliations.ORCID 0000-0003-1778-3892
Martin FehrSee the Notes section for the full list of authors' affiliations.
Richard CathomasSee the Notes section for the full list of authors' affiliations.
Gianfilippo BertelliSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-1798-0098
Amy QuintonSee the Notes section for the full list of authors' affiliations.
Paul LewisSee the Notes section for the full list of authors' affiliations.
Jonathan ShamashSee the Notes section for the full list of authors' affiliations.
Peter WilsonSee the Notes section for the full list of authors' affiliations.
Michael DooleySee the Notes section for the full list of authors' affiliations.
Susan PooleSee the Notes section for the full list of authors' affiliations.ORCID 0000-0003-4582-9472
Patrick B MarkSee the Notes section for the full list of authors' affiliations.ORCID 0000-0003-3387-2123
Michael A BookmanSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-4255-7814
Helena EarlSee the Notes section for the full list of authors' affiliations.ORCID 0000-0003-1549-8094
Duncan JodrellSee the Notes section for the full list of authors' affiliations.ORCID 0000-0001-9360-1670
Simon TavaréSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-3716-4952
Andy G LynchSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-7876-7338
Tobias JanowitzSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-7820-3727
University of Cambridge · GBAlfred Health · AUSt Bartholomew's Hospital · GBThe Christie NHS Foundation Trust · GBCambridge University Hospitals NHS Foundation Trust · GBKaiser Permanente San Francisco Medical Center · USKantonsspital Graubünden · CHKantonsspital St. Gallen · CHNorthwell Health · USSwansea University · GBUniversity Hospitals Sussex NHS Foundation Trust · GBUniversity of Glasgow · GBUniversity of Manchester · GBUniversity of St Andrews · GBVelindre Cancer Centre · GBWestern General Hospital · GB

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI LINGBO ZHANG · 1987 to 2026
$118.9M
Cancer Research UK 15678Cancer Research UK 20406Cancer Research UK 24868NCI NIH HHS P30 CA045508
6 · The paper itself

Abstract

Important oncological management decisions rely on kidney function assessed by serum creatinine-based estimated glomerular filtration rate (eGFR). However, no large-scale multicenter comparisons of methods to determine eGFR in patients with cancer are available. To compare the performance of formulas for eGFR based on routine clinical parameters and serum creatinine not calibrated with isotope dilution mass spectrometry, we studied 3620 patients with cancer and 166 without cancer who had their glomerular filtration rate (GFR) measured with an exogenous nuclear tracer at one of seven clinical centers. The mean measured GFR was 86 mL/min. Accuracy of all models was center dependent, reflecting intercenter variability of isotope dilution mass spectrometry-creatinine measurements. CamGFR was the most accurate model for eGFR (root-mean-squared error 17.3 mL/min) followed by the Chronic Kidney Disease Epidemiology Collaboration model (root-mean-squared error 18.2 mL/min).

Identifiers

PMID31750418
PMCPMC6846361
OpenAlexW2974649674

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.