Evidence map›Paper›PMID 34104278›Full record

ArticleJournal of clinical medicine research2021

Clinical and Hematological Predictors of High-Grade Immune-Related Adverse Events Associated With Immune Checkpoint Inhibitors.

Ashish Manne, Madhuri S Mulekar, Daisy E Escobar, Alhareth Alsayed, Gaurav Sharma, Pranitha Prodduturvar, Moh'd Khushman, John Harrison Howard, Robert Gilbert, Omar Alkharabsheh

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical medicine research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Observational
  5. Article
  6. The role of tumor types in immune-related adverse events.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  7. Article
  8. Article
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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

10 authors at 4 institutions in 1 country.

Ashish ManneDivision of Medical Oncology, Department of Internal Medicine, James Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA.ORCID https://orcid.org/0000-0003-2356-5162
Madhuri S MulekarDepartment of Mathematics and Statistics, The University of South Alabama, Mobile, AL, USA.
Daisy E EscobarDepartment of Medicine, The University of South Alabama, Mobile, AL, USA.
Alhareth AlsayedDivision of Medical Oncology, The University of South Alabama, Mitchell Cancer Institute, Mobile, AL, USA.
Gaurav SharmaDepartment of Medicine, The University of South Alabama, Mobile, AL, USA.
Pranitha ProdduturvarDivision of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
Moh'd KhushmanDivision of Medical Oncology, The University of South Alabama, Mitchell Cancer Institute, Mobile, AL, USA.
John Harrison HowardDepartment of Surgery, The University of South Alabama, Mobile, AL, USA.
Robert GilbertDivision of Radiation Oncology, The University of South Alabama, Mobile, AL, USA.
Omar AlkharabshehDivision of Medical Oncology, The University of South Alabama, Mitchell Cancer Institute, Mobile, AL, USA.
University of South Alabama · USUSA Mitchell Cancer Institute · USMayo Clinic in Arizona · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

backgroundLife-threatening immune-related adverse events (irAEs) that require hospital admission are not uncommon in patients treated with immune checkpoint inhibitors (ICIs). The clinical and hematological parameters are attractive biomarkers as potential predictors of irAE.

methodsThis is a retrospective study of patients with melanoma and lung cancer treated with ICIs between 2015 and 2019 at the University of South Alabama Mitchell Cancer Institute. Fisher's exact test, Pearson Chi-squared test, log-rank test, and Cox proportional hazard model were used to evaluate clinical and hematological parameters as possible predictors of irAE.

resultsThe cohort consisted of 160 patients treated with at least two doses of ICI, of which 54 (33.8%) patients had melanoma and 106 (66.3%) had lung cancer. Incidence of irAE did not have any bearing on the overall survival (OS) or progression-free survival (PFS) of the cohort. The clinical factors associated with irAE were dual-agent therapy (ipilimumab/nivolumab combination) and high disease burden (≥ 2 metastatic sites). The irAE-group had a lower mean platelet-to-lymphocyte ration (PLR, 200 vs. 257, P = 0.04). Although not statistically significant at the level of 0.05, other factors such as type of cancer (lung cancer > melanoma (P = 0.06)), stage at treatment (stage IV > stage II and III disease (P = 0.06)), and higher absolute lymphocyte counts (P = 0.07) showed a considerable association with irAE and warrants further review with different patient data.

conclusionsIrrespective of ICI used to treat lung cancer and melanoma, patients with high disease burden and dual-agent ICI therapy were more prone to irAE. The only hematological parameter that may predict the incidence of irAE is low baseline PLR.

Indexed as

Checkpoint inhibitorsHematological risk factorsImmune-related adverse eventsLung cancerLymphocytesMelanomaPredictors of toxicity

Identifiers

PMID34104278
PMCPMC8166288
OpenAlexW3165037032

What OpenQuestion holds

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LicenceCC BY-NC
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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.