Small Cell Lung Cancer in the Course of Idiopathic Pulmonary Fibrosis—Case Report and Literature Review
Bibliographic record
Abstract
Idiopathic pulmonary fibrosis is a poorly prognosed form of progressive interstitial pneumonia. Patients with IPF have a significantly increased risk of developing lung cancer, which further worsens the course of the disease. The most common histological types of LC among patients with IPF are squamous cell carcinoma and adenocarcinoma. Furthermore, all LC treatment modalities can lead to developing an acute IPF exacerbation. In this report, we present a rare case of coexistence of IPF and small cell lung cancer in a 76-year-old patient with chronic obstructive pulmonary disease, and a former smoker. For over 2 years, the patient was treated with an anti-fibrotic drug-pirfenidone, which slowed down the progression of IPF. Unfortunately, after being diagnosed with an active SCLC, the patient was excluded from further participation in the pirfenidone drug program. SCLC is characterized by high aggressiveness, rapid growth and high metastatic potential; therefore, it is necessary to apply antitumor treatment as soon as possible. The described patient was treated with carboplatin-etoposide chemotherapy. Early treatment tolerance was good and after two cycles of cytotoxic treatment, a partial response was present in CT. The presented case emphasizes the need for further research to determine the treatment regimens in patients with coexisting IPF and LC and the appropriateness of antifibrotic treatment in them. In addition, it can help to choose the treatment method for similar patients, indicating a combination of carboplatin and etoposide as an effective and, at the same time, relatively safes method in terms of the risk of IPF's exacerbation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".