Evidence map›Paper›PMID 41225997›Full record

ReviewDiagnostics (Basel, Switzerland)2025

Current Surgical Perspective on the Prognosis of Small-Cell Lung Cancer.

Hüseyin Fatih Sezer

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Hüseyin Fatih SezerDepartment of Thoracic Surgery, Kocaeli University Medical Faculty, İzmit 41380, Kocaeli, Türkiye.ORCID 0000-0001-5812-7088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small-cell lung cancer (SCLC) is a highly aggressive neuroendocrine tumour that can metastasise early, may show resistance to systemic treatment, and has a poor prognosis. The use of tobacco products is closely related to the duration of their use, and approximately 95% of those diagnosed have a history of smoking. No satisfactory progress has been made in the prognosis with current treatment methods up to the present day. The treatment approach has traditionally involved long-term chemotherapy (CT) and radiotherapy (RT), and recent literature has focused on immunotherapy and genetic advancements. Surgery can only be performed in cases detected at an early stage. Although both chemotherapy and radiotherapy are indispensable options for most patients, their impact on prognosis and survival is limited. Although promising developments are expected in immunotherapy, its impact on survival is still very limited, lasting only about 2 months. In patients undergoing surgical resection as part of their treatment, overall survival (OS) ranges from 34 to 69 months. OS for 1 year is 84.8-93.8%, for 3 years is 60-71.2%, and for 5 years is 51.1-63.8%. The five-year survival rates are reported as follows: stage I 31-63.8%, stage II 25-65.5%, stage III 15-27.8%, and stage IV 0%. In this study, the prognosis and factors affecting prognosis in SCLC were investigated in light of current literature from a surgical perspective, and predictions were attempted to be made to lay the groundwork for personalised treatment approaches. Compared to non-small-cell lung cancer, the number of studies is quite limited. Most of the surgical case series were conducted in the past, retrospectively, and involved a small number of patients. Advances in immunotherapy are promising. In the early stages, resection and subsequent chemotherapy may be the main treatment.

Indexed as

lung surgeryprognosissmall cell lung cancersurvival

Identifiers

PMID41225997
PMCPMC12609486

What OpenQuestion holds

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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.