Evidence map›Paper›PMID 35897018›Full record

ArticleWorld journal of surgical oncology2022

Absolute eosinophil count may be an optimal peripheral blood marker to identify the risk of immune-related adverse events in advanced malignant tumors treated with PD-1/PD-L1 inhibitors: a retrospective analysis.

Yan Ma, Xiao Ma, Jingting Wang, Shanshan Wu, Jing Wang, Bangwei Cao

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
2.5field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  3. Predictive value of NLR and PLR for immune-related adverse events: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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  11. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
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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

6 authors at 1 institution in 1 country.

Yan MaShijingshan Teaching Hospital of Capital Medical University, Beijing Shijingshan Hospital, #24 Shi Jing Shan Road, Beijing, Shijingshan District, 100040, China.
Xiao MaDepartment of Oncology, Beijing Friendship Hospital, Capital Medical University, #95 Yong An Road, Beijing, 100050, Xicheng District, China.
Jingting WangDepartment of Oncology, Beijing Friendship Hospital, Capital Medical University, #95 Yong An Road, Beijing, 100050, Xicheng District, China.
Shanshan WuDepartment of Clinical Epidemiology and EBM, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Jing WangDepartment of Oncology, Beijing Friendship Hospital, Capital Medical University, #95 Yong An Road, Beijing, 100050, Xicheng District, China. wangjing1981@ccmu.edu.cn.
Bangwei CaoDepartment of Oncology, Beijing Friendship Hospital, Capital Medical University, #95 Yong An Road, Beijing, 100050, Xicheng District, China. oncology@ccmu.edu.cn.ORCID http://orcid.org/0000-0001-6164-2291
Capital Medical University · CN

Funding

the Digestive Medical Coordinated Development Center of Beijing Hospitals Authority XXT01the Pilot Project of Clinical Collaboration with Traditional Chinese Medicine and Western Medicine in Major Refractory Disease - Esophageal Cancer 2019-ZX-005
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the predictive values of serum biomarkers including absolute eosinophil count (AEC), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) with respect to immune-related adverse events (irAEs) during anti-PD-1/PD-L1 inhibitor treatment in patients with advanced malignant tumors.

methodsWe retrospectively analyzed 95 patients with advanced cancer who were treated with anti-PD-1/PD-L1 inhibitors from January 1, 2017, to May 1, 2020, in our cancer center. We then analyzed associations between irAEs and anti-PD-1/PD-L1 inhibitor responses and evaluated the predictive values of serum biomarkers with respect to the risk of irAEs.

resultsThe incidence of irAEs was 55.8%. There were no statistically significant differences between the irAEs and no-irAEs groups in an objective response rate (ORR) or disease control rate (DCR). However, landmark analysis showed that the irAEs group had better survival after 120 days following the initiation of anti-PD-1/PD-L1 inhibitor treatment, compared with the no-irAEs group. The incidences of irAEs were greater in the high-AEC and low-NLR groups than in the low-AEC and high-NLR groups. Univariate logistic analysis showed that low NLR, ECOG performance status (0-1), and high AEC were risk factors for irAEs. Multivariate logistic analysis showed that high AEC and good ECOG performance status were independent predictors for irAEs.

conclusionsirAEs may be associated with a survival benefit. Baseline AEC is a strong predictor of irAEs in patients undergoing treatment with anti-PD-1/PD-L1 inhibitors.

Indexed as

Immune Checkpoint InhibitorsNeoplasmsEosinophilsHumansProgrammed Cell Death 1 ReceptorRetrospective StudiesImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorAbsolute eosinophil countImmune-related adverse eventsImmunotherapyNeutrophil-to-lymphocyte ratioPlatelet-to-lymphocyte ratioPredictive markers

Identifiers

PMID35897018
PMCPMC9331074
OpenAlexW4288066538

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.