Evidence map›Paper›PMID 32617516›Full record

ArticleJNCI cancer spectrum2020

Prediction of Nephrotoxicity Associated With Cisplatin-Based Chemotherapy in Testicular Cancer Patients.

Sara L Garcia, Jakob Lauritsen, Zeyu Zhang, Mikkel Bandak, Marlene D Dalgaard, Rikke L Nielsen, Gedske Daugaard, Ramneek Gupta

Open access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.3field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 4 institutions in 2 countries.

Sara L GarciaDepartment of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID 0000-0002-2784-2318
Jakob LauritsenDepartment of Oncology, Copenhagen University Hospital, Copenhagen, Denmark.ORCID 0000-0002-9985-174X
Zeyu ZhangDepartment of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID 0000-0002-8352-0663
Mikkel BandakDepartment of Oncology, Copenhagen University Hospital, Copenhagen, Denmark.ORCID 0000-0003-3475-9675
Marlene D DalgaardDepartment of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID 0000-0002-4036-6408
Rikke L NielsenDepartment of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID 0000-0003-0173-2134
Gedske DaugaardDepartment of Oncology, Copenhagen University Hospital, Copenhagen, Denmark.ORCID 0000-0002-9618-9180
Ramneek GuptaDepartment of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID 0000-0001-6841-6676
Copenhagen University Hospital · DKTechnical University of Denmark · DKInstitute of Genetics and Developmental Biology · CNSino-Danish Centre for Education and Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCisplatin-based chemotherapy may induce nephrotoxicity. This study presents a random forest predictive model that identifies testicular cancer patients at risk of nephrotoxicity before treatment.

methodsClinical data and DNA from saliva samples were collected for 433 patients. These were genotyped on Illumina HumanOmniExpressExome-8 v1.2 (964 193 markers). Clinical and genomics-based random forest models generated a risk score for each individual to develop nephrotoxicity defined as a 20% drop in isotopic glomerular filtration rate during chemotherapy. The area under the receiver operating characteristic curve was the primary measure to evaluate models. Sensitivity, specificity, and positive and negative predictive values were used to discuss model clinical utility.

resultsOf 433 patients assessed in this study, 26.8% developed nephrotoxicity after bleomycin-etoposide-cisplatin treatment. Genomic markers found to be associated with nephrotoxicity were located at

conclusionsA clinical and genomics-based machine learning algorithm improved the ability to identify patients at risk of nephrotoxicity compared with using clinical variables alone. Novel genetics associations with cisplatin-induced nephrotoxicity were found for

Identifiers

PMID32617516
PMCPMC7315098
OpenAlexW3018784124

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.