Evidence map›Paper›PMID 35110234›Full record

ArticleTurkish thoracic journal2021

Surgical Treatment in Small-Cell Lung Cancer: Single-Center Experience and Survival.

Ahmet Ulusan, İbrahim Emre Tunca, Maruf Şanlı, Ahmet Feridun Işık

Open access · diamondAbstract read
In one paragraph

Article in Turkish thoracic journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Ahmet UlusanDepartment of Thoracic Surgery, Gaziantep University Faculty of Medicine, Gaziantep, Turkey.
İbrahim Emre TuncaDepartment of Thoracic Surgery, Gaziantep University Faculty of Medicine, Gaziantep, Turkey.
Maruf ŞanlıDepartment of Thoracic Surgery, Gaziantep University Faculty of Medicine, Gaziantep, Turkey.
Ahmet Feridun IşıkDepartment of Thoracic Surgery, Gaziantep University Faculty of Medicine, Gaziantep, Turkey.
Gaziantep University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the clinical outcomes of patients with different stages of small-cell lung cancer (SCLC) who underwent surgical treatment. MATERIAL AND

methodsThis retrospective study consisted of 13 patients with SCLC at a tertiary care health center. This study was conducted between 2011 and 2018 at Gaziantep University Faculty of Medicine, Thoracic Surgery Department. Patient follow-up data were collected from medical files. Patients were analyzed according to age, sex, site of resection, clinical stage, pathological stage, recurrence, operation type, chemotherapy, radiotherapy.

resultsThe study group consisted of 3 females and 10 males (n = 13). The mean age of the patients was 65 ± 9.3 (52-85) years. The most common location of the primary tumor was the right upper lobe (6 patients, 46.2%). The mean tumor size was 4.36 ± 2.38 cm (1-8.5). In our study, 3 patients had already metastases (2 brain and 1 had metastases in more than 2 anatomic sites). Patients with solitary metastases, who underwent lung resection and metastasis excision had similar survival according to patients without metastases.

conclusionOur results show that surgical treatment in SCLC could be contributed to the survival of patients. Therefore, patients must be given a chance for surgery, especially considering that the advances in diagnostic and surgical capabilities have increased the likelihood of early diagnosis and effective surgery.

Identifiers

PMID35110234
PMCPMC8975300
OpenAlexW3171302599

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.