Evidence map›Paper›PMID 38538012›Full record

ArticleBMJ (Clinical research ed.)2024

Derivation and external validation of a simple risk score for predicting severe acute kidney injury after intravenous cisplatin: cohort study.

Shruti Gupta, Ilya G Glezerman, Jamie S Hirsch, Kevin L Chen, Nishant Devaraj, Sophia L Wells, Robert H Seitter, Sarah A Kaunfer, Arunima M Jose, Shreya P Rao and 16 more

Erratum issuedOpen access · hybridAbstract readMulticenter Study
In one paragraph

Article in BMJ (Clinical research ed.), 2024. 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
13.2field-weighted citation impact, top 1% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Effect of mannitol on cisplatin-associated acute kidney injury: a target trial emulation.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
  19. Observational
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 8 institutions in 1 country.

Shruti GuptaDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA Sgupta21@bwh.harvard.edu.ORCID 0000-0002-5747-2151
Ilya G GlezermanRenal Service, Memorial Sloan Kettering Cancer Center and Department of Medicine, Weill Cornell Medical College, NY, NY, USA.
Jamie S HirschNorthwell Health, New Hyde Park, NY, USA.ORCID 0000-0001-9571-1275
Kevin L ChenDepartment of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.
Nishant DevarajDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Sophia L WellsDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Robert H SeitterDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Sarah A KaunferDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Arunima M JoseDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Shreya P RaoDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Jessica L OrtegaDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Olivia Green-LingrenDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Robert HaydenDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Pavan K BendapudiHarvard Medical School, Boston, MA, USA.
Donald F ChuteDepartment of Medicine, Division of Nephrology, Massachusetts General Hospital, Boston, MA, USA.
Meghan E SiseHarvard Medical School, Boston, MA, USA.
Kenar D JhaveriNorthwell Health, New Hyde Park, NY, USA.ORCID 0000-0003-1578-0524
Valda D PageDivision of Internal Medicine, Section of Nephrology, University of Texas MD Anderson Cancer Center Houston, TX, USA.
Matthew H AbramsonRenal Service, Memorial Sloan Kettering Cancer Center and Department of Medicine, Weill Cornell Medical College, NY, NY, USA.
Shveta S MotwaniDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Wenxin XuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Kartik SehgalDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Kerry L ReynoldsHarvard Medical School, Boston, MA, USA.
Anip BansalDivision of Renal Diseases and Hypertension, University of Colorado Anschutz Medical Campus Aurora, Aurora, CO, USA.
Ala AbudayyehDivision of Internal Medicine, Section of Nephrology, University of Texas MD Anderson Cancer Center Houston, TX, USA.
David E LeafDivision of Renal Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.ORCID 0000-0001-7875-090X
Brigham and Women's Hospital · USHarvard University · USMemorial Sloan Kettering Cancer Center · USNorthwell Health · USThe University of Texas MD Anderson Cancer Center · USBeth Israel Deaconess Medical Center · USMassachusetts General Hospital · USUniversity of Colorado Anschutz Medical Campus · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectiveTo develop and externally validate a prediction model for severe cisplatin associated acute kidney injury (CP-AKI).

designMulticenter cohort study.

settingSix geographically diverse major academic cancer centers across the US.

participantsAdults (≥18 years) receiving their first dose of intravenous cisplatin, 2006-22.

main outcome measuresThe primary outcome was CP-AKI, defined as a twofold or greater increase in serum creatinine or kidney replacement therapy within 14 days of a first dose of intravenous cisplatin. Independent predictors of CP-AKI were identified using a multivariable logistic regression model, which was developed in a derivation cohort and tested in an external validation cohort. For the primary model, continuous variables were examined using restricted cubic splines. A simple risk model was also generated by converting the odds ratios from the primary model into risk points. Finally, a multivariable Cox model was used to examine the association between severity of CP-AKI and 90 day survival.

resultsA total of 24 717 adults were included, with 11 766 in the derivation cohort (median age 59 (interquartile range (IQR) 50-67)) and 12 951 in the validation cohort (median age 60 (IQR 50-67)). The incidence of CP-AKI was 5.2% (608/11 766) in the derivation cohort and 3.3% (421/12 951) in the validation cohort. Each of the following factors were independently associated with CP-AKI in the derivation cohort: age, hypertension, diabetes mellitus, serum creatinine level, hemoglobin level, white blood cell count, platelet count, serum albumin level, serum magnesium level, and cisplatin dose. A simple risk score consisting of nine covariates was shown to predict a higher risk of CP-AKI in a monotonic fashion in both the derivation cohort and the validation cohort. Compared with patients in the lowest risk category, those in the highest risk category showed a 24.00-fold (95% confidence interval (CI) 13.49-fold to 42.78-fold) higher odds of CP-AKI in the derivation cohort and a 17.87-fold (10.56-fold to 29.60-fold) higher odds in the validation cohort. The primary model had a C statistic of 0.75 and showed better discrimination for CP-AKI than previously published models, the C statistics for which ranged from 0.60 to 0.68 (DeLong P<0.001 for each comparison). Greater severity of CP-AKI was monotonically associated with shorter 90 day survival (adjusted hazard ratio 4.63 (95% CI 3.56 to 6.02) for stage 3 CP-AKI versus no CP-AKI).

conclusionThis study found that a simple risk score based on readily available variables from patients receiving intravenous cisplatin could predict the risk of severe CP-AKI, the occurrence of which is strongly associated with death.

Indexed as

Acute Kidney InjuryCisplatinAdultCohort StudiesCreatinineHumansMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsCisplatinCreatinine

Identifiers

PMID38538012
PMCPMC10964715
OpenAlexW4393216780

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.