Evidence map›Paper›PMID 39487885›Full record

SynthesisCancer immunology, immunotherapy : CII2024

Immune checkpoint inhibitors-related thyroid dysfunction: influencing factor analysis, prediction model development, and management strategy proposal.

Xinya Li, Zaiwei Song, Yixuan Chen, Jingjing Wu, Dan Jiang, Zhen Zhang, Zeyuan Wang, Rongsheng Zhao

Erratum issuedAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Cancer immunology, immunotherapy : CII, 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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Xinya Li *Department of Pharmacy, Peking University Third Hospital, Beijing, 100191, China.ORCID http://orcid.org/0000-0002-7539-8194
Zaiwei Song *Department of Pharmacy, Peking University Third Hospital, Beijing, 100191, China.ORCID http://orcid.org/0000-0001-7064-4459
Yixuan ChenDepartment of Pharmacy, Peking University Third Hospital, Beijing, 100191, China.
Jingjing WuDepartment of Pharmacy, Peking University Third Hospital, Beijing, 100191, China.
Dan JiangDepartment of Pharmacy, Peking University Third Hospital, Beijing, 100191, China.
Zhen ZhangSentum Health, Beijing, 100163, China.
Zeyuan WangSentum Health, Beijing, 100163, China. wangzeyuan@sentumhealth.com.
Rongsheng ZhaoDepartment of Pharmacy, Peking University Third Hospital, Beijing, 100191, China. zhaorongsheng@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-3266-3496

Funding

National Natural Science Foundation of China 72074005National Natural Science Foundation of China 72304007
6 · The paper itself

Abstract

backgroundWith the extensive utilization of immune checkpoint inhibitors (ICIs) across various cancers, ICIs-related thyroid dysfunction (ICI-TD) has become a growing concern in clinical practice. This study aimed to devise an individualized management strategy for ICI-TD to enhance the early identification and proactive management in cancer patients.

methodsWe designed and conducted a three-phase study. Initially, we analyzed the influencing factors through a systematic review and meta-analysis, which adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Moreover, the study protocol was registered with PROSPERO (CRD42019131133). Subsequently, prediction models for ICI-TD were developed utilizing 11 algorithms based on the real-world cohort data from July 20, 2018 (the approval date of the first ICIs, Pembrolizumab in China), to October 31, 2022. Considering discrimination, calibration, and clinical utility, we selected the model with the best performance for web calculator development. Finally, individualized management strategies for ICI-TD were proposed by combining evidence-based analysis with practical considerations.

resultsThe systematic review encompassed 21 observational studies involving 4,145 patients, revealing associations between ICI-TD and factors such as female gender, age, receipt of Pembrolizumab (versus other ICIs), and baseline levels of thyroid-stimulating hormone, free thyroxine, and antithyroid antibodies. In the prediction model development phase, 621 participants were enrolled, with 36 patients developing ICI-TD. The model based on the LightGBM algorithm demonstrated superior performance, leading to the development of a web calculator. Based on these findings and existing guidelines, individualized monitoring and treatment pathways for pharmacists were devised.

conclusionThis study offers comprehensive insights into managing ICI-TD, potentially enhancing tailored cancer immunotherapy management.

Indexed as

Immune Checkpoint InhibitorsNeoplasmsThyroid DiseasesDisease ManagementFemaleHumansImmune Checkpoint InhibitorsICI-TDImmune checkpoint inhibitorsImmune checkpoint inhibitors-related thyroid dysfunctionRisk prediction model

Identifiers

PMID39487885
PMCPMC11531454

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.