Evidence map›Paper›PMID 36303686›Full record

ArticleTurk gogus kalp damar cerrahisi dergisi2022

Relationship between survival and erythrocyte sedimentation rate in patients operated for lung cancer.

Ahmet Kayahan Tekneci, Tevfik İlker Akçam, Önder Kavurmacı, Ayşe Gül Ergönül, Ali Özdil, Kutsal Turhan, Alpaslan Çakan, Ufuk Çağırıcı

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Article in Turk gogus kalp damar cerrahisi dergisi, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ahmet Kayahan TekneciDepartment of Thoracic Surgery, Ege University School of Medicine, Izmir, Türkiye.
Tevfik İlker AkçamDepartment of Thoracic Surgery, Ege University School of Medicine, Izmir, Türkiye.
Önder KavurmacıDepartment of Thoracic Surgery, University of Health Sciences, Bozyaka Izmir Training and Research Hospital, Izmir, Türkiye.
Ayşe Gül ErgönülDepartment of Thoracic Surgery, Ege University School of Medicine, Izmir, Türkiye.
Ali ÖzdilDepartment of Thoracic Surgery, Ege University School of Medicine, Izmir, Türkiye.
Kutsal TurhanDepartment of Thoracic Surgery, Ege University School of Medicine, Izmir, Türkiye.
Alpaslan ÇakanDepartment of Thoracic Surgery, Ege University School of Medicine, Izmir, Türkiye.
Ufuk ÇağırıcıDepartment of Thoracic Surgery, Ege University School of Medicine, Izmir, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to investigate the relationship between preoperative erythrocyte sedimentation rate and survival in patients undergoing pulmonary resection due to lung cancer. Methods: Between January 2011 and July 2017, a total of 575 patients (433 males, 142 females; mean age: 61.2±9.9 years; range, 29 to 82 years) who were operated due to primary lung cancer in our clinic were retrospectively analyzed. The patients were grouped according to erythrocyte sedimentation rate to analyze the relationship between erythrocyte sedimentation rate and survival. Results: The mean overall survival time was 61.8±1.7 months in 393 patients with an erythrocyte sedimentation rate of ≤24 mm/h and 48.9±2.9 months in 182 patients with an erythrocyte sedimentation rate of ≥25 mm/h (p<0.001). Among the patients with Stage 1-2 disease, the mean survival time was 66.2±1.9 in patients with an erythrocyte sedimentation rate of ≤24 mm/h and 53.8±3.2 in patients with an erythrocyte sedimentation rate of ≥25 mm/h (p=0.008). The mean survival time in patients with adenocarcinoma was 62.4±2.4 months in patients with ≤24 mm/h erythrocyte sedimentation rate and 46.1±4.6 months in patients with ≥25 mm/h erythrocyte sedimentation rate (p=0.003). Conclusion: The relationship between elevated erythrocyte sedimentation rate and poor prognosis in patients with the same stage of the disease is promising for the use of erythrocyte sedimentation rate as a prognostic marker.

Indexed as

Erythrocyte sedimentation ratelung cancerpostoperative survival

Identifiers

PMID36303686
PMCPMC9580278

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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.