Evidence map›Paper›PMID 36960068›Full record

SynthesisFrontiers in immunology2023

Blood cell counts can predict adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis.

Juyue Zhou, Zhonghai Du, Jie Fu, Xiuxiu Yi

Open access · goldFull text readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Benralizumab for Eosinophil-Related Cutaneous Adverse Events of Anticancer Therapy: A Phase II Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Trial
  3. Article
  4. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. 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

4 authors at 2 institutions in 1 country.

Juyue ZhouGraduate Institute, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Zhonghai DuDepartment of Oncology, Weifang Hospital of Traditional Chinese Medicine, Weifang, Shandong, China.
Jie FuDepartment of Oncology, Weifang Hospital of Traditional Chinese Medicine, Weifang, Shandong, China.
Xiuxiu YiDepartment of Oncology, Weifang Hospital of Traditional Chinese Medicine, Weifang, Shandong, China.
Weifang Chinese Medicine Hospital · CNShandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer is concerning owing to its high mortality rate. Consequently, methods of prolonging the life of patients with cancer have become the primary focus of attention research. In recent years, immune checkpoint inhibitors (ICIs) have achieved good clinical efficacy as antitumor drugs; however, their severe adverse effects have made their use challenging. In order to clarify the predictors of adverse effects, scientists have conducted a series of studies. Blood counts can potentially monitor risk factors associated with the occurrence of immune-related adverse events (irAEs). Herein, a meta-analysis was performed to clarify further the guiding significance of blood counts in the clinical setting. Methods: Studies that satisfied the inclusion criteria were obtained by searching the database. Included studies were those in which irAEs had been observed, and evidence of an association between blood counts and irAEs was reported. The included ones were evaluated for quality. In addition to sensitivity analysis and subgroup analysis, a meta-analysis was performed using the odds ratio (OR) and 95% confidence interval (CI) for each study. Results: A total of 18 articles were included in our study. The analyses were performed separately according to different blood cell count indicators. The blood cell count metrics associated with irAEs were: absolute eosinophil count, neutrophil: lymphocyte ratio, and platelet: lymphocyte ratio. Conclusion: Our review and meta-analysis of studies suggest that absolute eosinophil count, neutrophil: lymphocyte ratio, and platelet: lymphocyte ratio may serve as predictors of the emergence of irAEs. Given the small number of studies focusing on the relationship between patient blood cell counts and the risk of irAEs, future studies need to further explore the mechanisms of occurrence and potential associations.

Indexed as

Antineoplastic AgentsDrug-Related Side Effects and Adverse ReactionsImmune System DiseasesNeoplasmsHumansImmune Checkpoint InhibitorsLeukocyte CountRisk FactorsAntineoplastic AgentsImmune Checkpoint Inhibitorsadverse effectblood cell countimmune checkpoint inhibitorimmunotherapyrisk factor

Identifiers

PMID36960068
PMCPMC10029759
OpenAlexW4323356179

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read30
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.