Evidence map›Paper›PMID 39219641›Full record

ArticleCurrent urology2024

Management and nursing strategies for different patterns of adverse events in patients with urological cancer treated with immune checkpoint inhibitors.

Xiaojuan Huang, Xiaolei Li, Lulin Ma, Chunxia Liu

Abstract read
In one paragraph

Article in Current urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

4 authors.

Xiaojuan HuangDepartment of Urology, Peking University Third Hospital, Beijing, China.
Xiaolei LiDepartment of Urology, Peking University Third Hospital, Beijing, China.
Lulin MaDepartment of Urology, Peking University Third Hospital, Beijing, China.
Chunxia LiuDepartment of Urology, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to explore the patterns of treatment-related adverse events (AEs) associated with immune checkpoint inhibitor (ICI) monotherapy and in combination with chemotherapy or tyrosine kinase inhibitor (TKI) therapy and to summarize the corresponding management and nursing strategies. Materials and methods: A total of 69 patients with malignant urological tumors who received ICI treatment between June 2019 and October 2022 were retrospectively analyzed, and AEs that occurred during treatment were observed and reported. Based on the different types of treatment, the patients were divided into ICI monotherapy, ICI plus chemotherapy, and ICI plus TKI therapy groups. Subgroup analysis was performed. The incidence, distribution, and severity of AEs in the different subgroups were evaluated. Results: A total of 138 AEs occurred in 69 patients, among which grade 1 plus 2, and grade 3 plus 4 AEs accounted for 78.99% and 21.01%, respectively. The incidence of AEs per patient in the ICI-TKI therapy group was the highest (3.75 times/person), followed by the ICI-chemotherapy (2.33 times/person) and ICI monotherapy (0.82 times/person) groups. Specific AEs, such as fatigue, nausea, and myelosuppression, were much more common in the ICI-gemcitabine and cisplatin group, whereas renal injury, skin lesions, and diarrhea were most common ones in the ICI-TKI group. Conclusions: Immune checkpoint inhibitors are new treatment options for advanced urological tumors and renal cell carcinoma. Distinctive AE patterns were observed among the different treatment groups. Therefore, strict and meticulous clinical management and nursing measures are required to ensure the safety of patients receiving ICI treatment.

Indexed as

Adverse eventsImmune checkpoint inhibitorImmunotherapyNursingUrological tumor

Identifiers

PMID39219641
PMCPMC11337993

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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.