Evidence map›Paper›PMID 36654881›Full record

ArticleJTO clinical and research reports2023

Clinical Profile, Practice Pattern, and Outcomes With First-Line Therapy in ALK-Positive Lung Cancer: Real-World Data From Resource-Constrained Settings.

Akhil Kapoor, Vanita Noronha, Vijay Patil, Nandini Menon, Amit Joshi, Amit Kumar, Ajay Kumar Singh, Abhishek Mahajan, Amit Janu, Rajiv Kumar and 4 more

Open access · goldAbstract read
In one paragraph

Article in JTO clinical and research reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Uniqueness of lung cancer in Southeast Asia.The Lancet regional health. Southeast Asia · 2024
    Review
  4. Article
  5. Article
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

14 authors at 2 institutions in 1 country.

Akhil KapoorDepartment of Medical Oncology, Mahamana Pandit Madan Mohan Malviya Cancer Center and Homi Bhabha Cancer Hospital (A Unit of Tata Memorial Centre, Mumbai), Varanasi, India.
Vanita NoronhaDepartment of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Vijay PatilDepartment of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Nandini MenonDepartment of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Amit JoshiDepartment of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Amit KumarDepartment of Medical Oncology, Homi Bhabha Cancer Hospital (A Unit of Tata Memorial Centre, Mumbai), Muzaffarpur, India.
Ajay Kumar SinghDepartment of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Abhishek MahajanDepartment of Radiology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Amit JanuDepartment of Radiology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Rajiv KumarDepartment of Pathology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Trupti PaiDepartment of Pathology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Anuradha ChouguleDepartment of Molecular Pathology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Omshree ShettyDepartment of Molecular Pathology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Kumar PrabhashDepartment of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Homi Bhabha National Institute · INTata Memorial Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: ALK inhibitors are one of the success stories in precision medicine for treating patients with advanced ALK-positive NSCLC. Nevertheless, developing countries have substantial constraints in using ALK inhibitors, with limited data from India. Methods: An audit of a prospectively collected database of patients with advanced ALK-positive NSCLC treated from January 2013 to March 2018 was conducted. The SPSS version 20.0 was used for statistical analysis. Results: A total of 441 patients were available for analysis; 62.5% were males, median age was 50 (range: 19-75) years, and 78.3% had Eastern Cooperative Oncology Group performance status of 0 to 1. When all the lines of therapies were included in the analysis, ALK inhibitors could be used in 379 (85.9%) of the total ALK-positive patients and 292 patients (66.2%) received ALK inhibitors in the first line in any strategy. The major reason for not starting ALK inhibitors upfront was financial constraints in 69% of the patients. The median progression-free survival on first-line therapy for the entire cohort was 14.1 months (95% confidence interval [CI]: 12.2-15.9), with a significant difference between patients receiving ALK inhibitor in first line in any strategy versus not in first line (17.2 mo [95% CI: 14.5-19.9] versus 5.9 mo [95% CI: 4.2-7.6], Conclusions: Most of our patients with ALK-positive NSCLC were exposed to ALK inhibitors through various support mechanisms. Those patients who could receive ALK inhibitors in the first line had a significant survival advantage as compared with others.

Indexed as

ALK inhibitorsALK-positive lung cancerCeritinibCrizotinibLow-middle income countriesReal-world data

Identifiers

PMID36654881
PMCPMC9841022
OpenAlexW4310760657

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.