Evidence map›Paper›PMID 39641008›Full record

ArticleAsia-Pacific journal of oncology nursing2024

Development and validation of the self-report symptom inventory of immune-related adverse events in patients with lung cancer.

Tiantian Fan, Siying Zhu, Hong Wang, Yan Dong, Ying Zhou, Yalan Song, Shan Pan, Qiujuan Wu, Graeme Drummond Smith, Yumei Li and 1 more

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Tiantian FanThoracic Surgery Area Three, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China.
Siying ZhuSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Hong WangSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Yan DongSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Ying ZhouSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Yalan SongNursing Department, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China.
Shan PanInternal Medicine Oncology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Qiujuan WuInternal Medicine Oncology, The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Graeme Drummond SmithS.K. Yee School of Health Sciences, Saint Francis University, Hong Kong, China.
Yumei LiNursing Department, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China.
Yuan HanSchool of Nursing, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to develop and validate the Self-Report Symptom Inventory of immune-related Adverse Events in Patients with Lung Cancer (SRSI-irAEs-LC) to allow for systematic assessment of symptomatic irAEs in patients with lung cancer treated with programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) immune checkpoint inhibitors (ICIs). Methods: A sequential two-phase mixed-methods study was conducted. In phase I, a draft version of the SRSI-irAEs-LC was constructed through item generation and draft inventory construction. Delphi expert consultation, cognitive interviews and a pilot study were conducted to evaluate the content validity and refine the scale. In phase II, psychometric testing was performed on 512 patients with lung cancer treated with PD-1/PD-L1 ICIs using item analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), criterion validity, discriminant validity, and reliability evaluations. Results: Through 5 sequential steps in phase I, the preliminary version of the SRSI-irAEs-LC comprised 10 dimensions with 41 items. Through EFA, the final version of the SRSI-irAEs-LC included 8 dimensions and 26 items that explained 62.33% of the variance. The CFA model showed that the 8-factor model fitted the data well. Good criteria validity and known-groups discriminant validity were demonstrated. Cronbach's Conclusions: Preliminarily, the SRSI-irAEs-LC is a valid and reliable instrument for assessing symptomatic irAEs in patients with lung cancer treated with PD-1/PD-L1 ICIs. Further research is needed to confirm its generalizability to a broader population as well as its validity and reliability.

Indexed as

Immune checkpoint inhibitorsImmune-related adverse eventsLung cancerScale developmentValidation

Identifiers

PMID39641008
PMCPMC11617387

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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.