Evidence map›Paper›PMID 25621024›Full record

ArticleOncology letters2015

Clinical investigation into the initial diagnosis and treatment of 1,168 lung cancer patients.

Qian Shao, Jianbin Li, Fengxiang Li, Suzhen Wang, Wei Wang, Shanshan Liu, Yingjie Zhang

Abstract read
In one paragraph

Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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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

7 authors.

Qian ShaoDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong 250117, P.R. China.
Jianbin LiDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong 250117, P.R. China.
Fengxiang LiDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong 250117, P.R. China.
Suzhen WangDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong 250117, P.R. China.
Wei WangDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong 250117, P.R. China.
Shanshan LiuDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong 250117, P.R. China.
Yingjie ZhangDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong 250117, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to analyse clinical data obtained from lung cancer patients, including the initial clinical symptoms upon diagnosis, duration of patient delay in presenting to a doctor, lung cancer stage, treatment strategy and prognosis. A retrospective analysis was conducted of the clinical features of 1,168 lung cancer patients who were initially diagnosed and treated at the Tumor Hospital of Shandong Province (Jinan, China) in 2009. The Kaplan-Meier method and multivariate Cox regression analysis were performed to analyse the influence of gender, age, predominant symptoms, histopathological or cytological type and clinical staging on the overall patient survival. The follow-up rate of the present study was 92.4%, and the 1-, 2- and 3-year survival rates were 80.4, 44.9 and 15.8%, respectively. Multivariate analysis demonstrated that the patient age, extent of the tumour (T stage), extent of lymph node spread (N stage), overall clinical stage and treatment strategy were independent risk factors associated with patient survival. The present study identified that the initial symptoms of lung cancer varied, patient delay was long, the lung cancer cases were diagnosed in late clinical stages and the prognosis was poor.

Indexed as

clinical analysisdiagnosislung cancerprognosistreatment

Identifiers

PMID25621024
PMCPMC4301476

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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.