ArticleTargeted oncology2011
Clinical retrospective analysis of erlotinib in the treatment of elderly patients with advanced non-small cell lung cancer.
Article in Targeted oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Pooled it
- Retrospective Evaluation of Drug-Drug Interactions With Erlotinib and Gefitinib Use in the Military Health System.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023Article
- A novel Diels-Alder adduct of mulberry leaves exerts anticancer effect through autophagy-mediated cell death.Acta pharmacologica Sinica · 2021Article
- Review
- Tyrosine Kinase Inhibitors for the Elderly.Journal of Cancer · 2016Review
- Erlotinib for elderly patients with non-small-cell lung cancer: Subset analysis from a population-based observational study by the Ibaraki Thoracic Integrative (POSITIVE) Research Group.Molecular and clinical oncology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to evaluate the clinical efficacy and the safety profile of molecularly targeted therapies as a palliative approach in elderly populations affected by advanced thoracic neoplasms, we retrospectively studied, in terms of effectiveness and toxicities, a group of pretreated elderly metastatic non-small cell lung cancer (NSCLC) patients admitted to our institution and treated with erlotinib at standard daily/dose. Forty-three patients aged 70 years or older who had previously failed on chemotherapy or radiotherapy were treated with oral Eerlotinib (150 mg/d) until disease progression or unacceptable toxicity. Clinical data, pathological types, potential prognostic factors, efficacy and toxicity of erlotinib were included in this analysis. In our series we observed: objective responses in six patients (14%) and stable disease in 15 (35%). Skin rash was the most common side effect (67%). Grade 3-4 adverse events were observed in 16 cases (37%). The median overall survival and the median progression-free survival were 8.4 months (CI 95%: 0.7-43.6) and 3 months (CI 95%: 0.4-28.4), respectively. Patients with adenocarcinoma achieved the best disease control rate (p = 0.027), while not/former smokers showed a better response (p = 0.069). In our experience the use of erlotinib after chemotherapy failure in an unselected elderly population affected by NSCLC showed moderate efficacy and a moderate safety profile. However, erlotinib represents a valid option in this setting, but other factors such as biological information, comorbidities and concomitant medications need to be carefully take into consideration in this particular subset of cancer patients.
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Registered trials
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.