Evidence map›Paper›PMID 38993541›Full record

ArticleThe Lancet regional health. Western Pacific2024

Patient-reported outcomes for the phase 3 FURLONG study of furmonertinib versus gefitinib as first-line therapy for Chinese patients with locally advanced or metastatic

Yuankai Shi, Gongyan Chen, Xiang Wang, Yunpeng Liu, Lin Wu, Yanrong Hao, Chunling Liu, Shuyang Zhu, Xiaodong Zhang, Yuping Li and 13 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Efficacy and safety of EGFR-TKI for EGFR-mutated NSCLC: systematic review and network meta-analysis.International journal of clinical and experimental pathology · 2025
    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

23 authors.

Yuankai ShiDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, the People's Republic of China.
Gongyan ChenDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150081, the People's Republic of China.
Xiang WangDepartment of Medical Oncology, Xuzhou Central Hospital, Xuzhou, Jiangsu, 221009, the People's Republic of China.
Yunpeng LiuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, the People's Republic of China.
Lin WuThoracic Medicine Department II, Hunan Cancer Hospital, Changsha, Hunan, 410013, the People's Republic of China.
Yanrong HaoDepartment of Medical Oncology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, 530021, the People's Republic of China.
Chunling LiuDepartment of Pulmonary Medicine, Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830000, the People's Republic of China.
Shuyang ZhuDepartment of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical College, Xuzhou, Jiangsu, 221006, the People's Republic of China.
Xiaodong ZhangDepartment of Medical Oncology, Nantong Cancer Hospital, Nantong, Jiangsu, 226361, the People's Republic of China.
Yuping LiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, the People's Republic of China.
Jiwei LiuDepartment of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116011, the People's Republic of China.
Lejie CaoDepartment of Respiratory Medicine, The First Affiliated Hospital of University of Science and Technology of China, Hefei, Anhui, 230001, the People's Republic of China.
Ying ChengDepartment of Oncology, Jilin Cancer Hospital, Changchun, Jilin, 130021, the People's Republic of China.
Hui ZhaoDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Anhui University, Hefei, Anhui, 230601, the People's Republic of China.
Shucai ZhangDepartment of Medical Oncology, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, the People's Republic of China.
Aimin ZangDepartment of Medical Oncology, Affiliated Hospital of Hebei University, Baoding, Hebei, 071000, the People's Republic of China.
Jiuwei CuiCancer Center, The First Hospital of Jilin University, Changchun, Jilin, 130021, the People's Republic of China.
Jian FengDepartment of Respiratory Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226001, the People's Republic of China.
Nong YangDepartment of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital, Changsha, Hunan, 410013, the People's Republic of China.
Jie HuShanghai Allist Pharmaceutical Technology Co., Ltd, Shanghai, 201318, the People's Republic of China.
Fei LiuShanghai Allist Pharmaceutical Technology Co., Ltd, Shanghai, 201318, the People's Republic of China.
Yong JiangShanghai Allist Pharmaceutical Technology Co., Ltd, Shanghai, 201318, the People's Republic of China.
Nan GeShanghai Allist Pharmaceutical Technology Co., Ltd, Shanghai, 201318, the People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Furmonertinib showed superior efficacy compared with gefitinib as first-line therapy in patients with epidermal growth factor receptor ( Methods: In this multicentre, double-blind, double-dummy, randomised phase 3 study, patients were 1:1 randomly assigned to receive furmonertinib 80 mg once daily or gefitinib 250 mg once daily. PROs assessed by the European Organization for Research and Treatment of Cancer Quality-of-Life Questionnaire Core 30 and Quality-of-Life Questionnaire Lung Cancer 13 were analysed using a mixed model for repeated measures and time-to-event analyses. A difference in score of 10 points or more was deemed clinically relevant. Findings: Three hundred and fifty-seven patients (furmonertinib group, n = 178; gefitinib group, n = 179) received at least one dose of the study drug, all of whom completed at least one PRO assessment. Statistically significant difference of overall score changes from baseline favoured furmonertinib in physical functioning (between-group difference 2.14 [95% CI 0.25-4.04], p = 0.027), nausea/vomiting (-1.56 [95% CI -2.62 to -0.49], p = 0.004), appetite loss (-2.24 [95% CI -4.26 to -0.23], p = 0.029), diarrhoea (-3.36 [95% CI -5.19 to -1.54], p < 0.001), alopecia (-2.62 [95% CI -4.54 to -0.71], p = 0.007), and pain in other parts (-4.55 [95% CI -7.37 to -1.74], p = 0.002), but not reached clinical relevance. Time to deterioration in physical functioning (hazard ratio 0.63 [95% CI 0.42-0.94], p = 0.021), cognitive functioning (0.73 [95% CI 0.54-0.98], p = 0.034), nausea/vomiting (0.64 [95% CI 0.41-0.99], p = 0.042), appetite loss (0.63 [95% CI 0.43-0.92], p = 0.016), diarrhoea (0.63 [95% CI 0.46-0.85], p = 0.002), dyspnoea (0.72 [95% CI 0.53-0.98], p = 0.034), cough (0.67 [95% CI 0.44-1.00], p = 0.049), dysphagia (0.54 [95% CI 0.35-0.83], p = 0.004), and alopecia (0.62 [95% CI 0.42-0.90], p = 0.012) was longer with furmonertinib versus gefitinib. Interpretation: In patients with locally advanced or metastatic Funding: Shanghai Allist Pharmaceutical Technology Co., Ltd and the National Science and Technology Major Project for Key New Drug Development (2017ZX09304015).

Indexed as

AST2818Epidermal growth factor receptorFurmonertinibNon-small cell lung cancerPatient-reported outcomes

Identifiers

PMID38993541
PMCPMC11238182

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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.