Evidence map›Paper›PMID 15053044›Full record

ArticleThe Korean journal of internal medicine2004

The relationship between the serum intercellular adhesion molecule-1 level and the prognosis of the disease in lung cancer.

Hun Sub Shin, Chan Hee Jung, Hyun Duk Park, Seung Sei Lee

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Hun Sub ShinDepartment of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Chan Hee Jung
Hyun Duk Park
Seung Sei Lee
Kangbuk Samsung Hospital · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdhesion molecules are related to cell-to-cell interaction and inflammatory interaction. In addition, adhesive interactions between tumor cells and adjacent cells and/or extracellular matrix play important roles in the complex process of tumor growth and development. Among these adhesion molecules, expression of intercellular adhesion molecule-1 (ICAM-1) has been identified in colon cancer, bladder cancer, lung cancer, melanoma, pancreatic cancer and hepatocellular carcinoma. In the current study, we analyzed serum ICAM-1 concentrations to investigate the relationship between the serum ICAM-1 level and prognosis in patients with lung cancer.

methodsSerum ICAM-1 was measured in 84 patients with lung cancer according to the pathologic type and clinical stage using the ICAM-1 ELISA kit. The Kaplan-Meier method was used to analyse survival time.

resultsThere was no difference in serum ICAM-1 concentration among the different stages of lung cancer. Furthermore, there was no difference observed between histologic tumor type with regard to serum ICAM-1 concentration. Although the difference was not significant, the overall survival times of patients with a low serum ICAM-1 concentration (< 306 ng/mL) was longer than that of patients with a high concentration (> or = 306 ng/mL) in non-small cell lung cancer patients.

conclusionThese results suggest that high levels of serum ICAM-1 reflect poor prognosis for patients with non-small cell lung cancer.

Indexed as

AgedCarcinoma, Non-Small-Cell LungCarcinoma, Small CellFemaleHumansIntercellular Adhesion Molecule-1Lung NeoplasmsMaleMiddle AgedNeoplasm StagingPrognosisSurvival AnalysisIntercellular Adhesion Molecule-1

Identifiers

PMID15053044
PMCPMC4531543
OpenAlexW2109688183

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.