Evidence map›Paper›PMID 36508144›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2023

Reliability and validity of the simplified Chinese version of the Functional Assessment of Cancer Therapy-Immune Checkpoint Modulator.

Xiangmin Meng, Meimei Shang, Qian Wang, Rong Yan, Kai Jiang, Junai Xiang, Wenhui Liu, Jian Li, Di Wang, Juan Xu

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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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  4. 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

10 authors at 1 institution in 1 country.

Xiangmin MengSchool of Nursing, Shandong First Medical University (Shandong Academy of Medical Sciences), 6699 Qingdao Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China.
Meimei ShangNursing Department, Cancer Hospital Affiliated to Shandong First Medical University, 440 Jiyan Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China.
Qian WangGynecological Tumor Ward 3, Cancer Hospital Affiliated to Shandong First Medical University, 440 Jiyan Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China.
Rong YanPrevention management department, Cancer Hospital Affiliated to Shandong First Medical University, 440 Jiyan Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China. 1668725663@qq.com.
Kai JiangSchool of Nursing, Shandong First Medical University (Shandong Academy of Medical Sciences), 6699 Qingdao Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China.
Junai XiangSchool of Nursing, Shandong First Medical University (Shandong Academy of Medical Sciences), 6699 Qingdao Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China.
Wenhui LiuSchool of Nursing, Shandong First Medical University (Shandong Academy of Medical Sciences), 6699 Qingdao Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China.
Jian LiAbdominal Radiotherapy Ward 2, Cancer Hospital Affiliated to Shandong First Medical University, 440 Jiyan Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China.
Di WangAbdominal Radiotherapy Ward 1, Cancer Hospital Affiliated to Shandong First Medical University, 440 Jiyan Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China.
Juan XuHead and Neck Radiotherapy Ward 2, Cancer Hospital Affiliated to Shandong First Medical University, 440 Jiyan Road, Huaiyin Distict, Jinan, Shandong, People's Republic of China.
Shandong First Medical University · CN

Funding

Shandong Cancer Hospital and Institute, Shandong first Medical University, Clinical research and cultivation program 2020-A09
6 · The paper itself

Abstract

purposeThis study aimed to translate and culturally adapt the immune checkpoint modulator (ICM) subscale of the Functional Assessment of Cancer Therapy-Immune Checkpoint Modulator (FACT-ICM) scale and to validate the FACT-ICM scale in Chinese cancer patients receiving immune checkpoint inhibitors (ICIs) treatment.

methodsIn total, 354 cancer patients treated with ICIs were included in our cross-sectional study including 2 phases. Firstly, the ICM subscale was translated and culturally adapted by standardized procedures. Then the FACT-ICM scale was validated, which included item analysis, content validity, floor and ceiling effects, internal consistency reliability, test-retest reliability, construct validity, convergent/divergent validity, and known-group validity.

resultsThe content validity indexes at the item and scale level of the ICM subscale were greater than 0.8. No floor and ceiling effects were found. The Cronbach's α and McDonald's omega coefficients of the simplified Chinese version of the FACT-ICM scale were 0.935 and 0.936, and the intraclass correlation coefficient was 0.833 (95% confidence interval: 0.574-0.940). Confirmatory factor analysis confirmed the 5-subscale structure of the simplified Chinese version of the FACT-ICM scale (χ

conclusionsThe simplified Chinese version of the FACT-ICM scale is a valid and reliable instrument and can be used in clinical practice and research on cancer patients receiving ICIs treatment.

Indexed as

NeoplasmsQuality of LifeChinaCross-Sectional StudiesHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesFunctional Assessment of Cancer Therapy-Immune Checkpoint Modulator scaleImmune checkpoint inhibitorsImmunotherapyPatient-reported outcome measuresPsychometric validationQuality of Life

Identifiers

PMID36508144
OpenAlexW4311201302

What OpenQuestion holds

Textmetadata
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Registered trials

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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.