Evidence map›Paper›PMID 40303198›Full record

ArticleKidney international reports2025

Early and Sensitive Detection of Cisplatin-Induced Kidney Injury Using Novel Biomarkers.

Michael Strader, Gary Friedman, Xavier Benain, Nunzio Camerlingo, Stefan Sultana, Shiran Shapira, Nadir Aber, Patrick T Murray

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In one paragraph

Article in Kidney international reports, 2025. 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Michael StraderDepartment of Medicine, School of Medicine, University College Dublin, Dublin, Ireland.
Gary FriedmanGlobal Biometrics and Data Management, Pfizer, Inc., Cambridge, Massachusetts, USA.
Xavier BenainBiostastics and Programming, Sanofi S.A., Paris, France.
Nunzio CamerlingoGlobal Biometrics and Data Management, Pfizer, Inc., Cambridge, Massachusetts, USA.
Stefan SultanaPatient Safety Center of Excellence, AstraZeneca PLC, Cambridge, UK.
Shiran ShapiraHealth Promotion Center and Integrated Cancer Prevention Center, Tel Aviv Sourasky Medical Center and Tel Aviv University, Tel Aviv, Israel.
Nadir AberHealth Promotion Center and Integrated Cancer Prevention Center, Tel Aviv Sourasky Medical Center and Tel Aviv University, Tel Aviv, Israel.
Patrick T MurrayDepartment of Medicine, School of Medicine, University College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: We evaluated a panel of novel urinary and serum biomarkers (BMs) for early and sensitive detection of cisplatin drug-induced kidney injury (DIKI) in patients with cancer, comparing their diagnostic accuracy with standard BMs (SBMs). Methods: In this prospective exploratory observational study, 105 patients treated with cisplatin ("treated" with > 65 mg/m Results: All urinary NBMs had significant PCFBs in the treated group compared with the nontreated cancer control group; most accurately detected cisplatin exposure (area under the receiver operating characteristics [ROC] curve [AUROC] > 0.8). NBMs peaked earlier. In stage 1 adjudication (SBMs) of the treated group, PCFB of urinary NBMs showed no difference between DIKI ( Conclusion: NBMs accurately and timely detected cisplatin exposure and identified "sub-clinical" DIKI undetected by standard acute kidney injury (AKI) criteria, highlighting the limitations of current functional BMs in estimating the true DIKI incidence.

Indexed as

biomarkersdrug-induced kidney injurysubclinical acute kidney injury

Identifiers

PMID40303198
PMCPMC12034874

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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.