Evidence map›Paper›PMID 28928889›Full record

ArticleJournal of Cancer2017

Prognostic Significance of Host-related Biomarkers for Survival in Patients with Advanced Non-Small Cell Lung Cancer.

Sookyung Lee, Wankyu Eo, Hyeonjin Jeon, Sora Park, Jean Chae

Abstract read
In one paragraph

Article in Journal of Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Pro-Tumorigenic and Thrombotic Activities of Platelets in Lung Cancer.International journal of molecular sciences · 2023
    Review
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  14. The Role of Iron in Cancer Progression.Frontiers in oncology · 2021
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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

5 authors.

Sookyung LeeDepart of Clinical Oncology, College of Korean Medicine, Kyung Hee University.
Wankyu EoDepart of Medical Oncology and Hematology, College of Medicine, Kyung Hee University.
Hyeonjin JeonDepartment of Clinical Korean Medicine, Graduate School, Kyung Hee University.
Sora ParkDepartment of Clinical Korean Medicine, Graduate School, Kyung Hee University.
Jean ChaeDepartment of Clinical Korean Medicine, Graduate School, Kyung Hee University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study identified host-related prognostic biomarkers for survival in patients with advanced non-small cell lung cancer (NSCLC).

methodsThis study was based on the retrospective review of the medical records of 135 patients with pathologically confirmed advanced NSCLC. The host-related biomarkers assessed in this study that reflected patient condition included hemoglobin (Hb) levels; platelet (PLT), neutrophil, lymphocyte, and monocyte counts; and ferritin concentrations. The overall survival (OS) was calculated by Kaplan-Meier analysis and compared using log-rank tests. Univariate and multivariate analyses of Cox proportional hazards regression were used to evaluate the prognostic impact for survival.

resultsOf the enrolled patients, 91.1% had stage IV NSCLC, 42.2% had ECOG-PS scores of 2, and 57% had undergone multiple rounds of prior systemic therapy. The prognostic factors included low Hb concentration (men: Hb < 13 g/dL, women: Hb < 12 g/dL;

conclusionImmune factors, such as lymphocyte and monocyte counts, as well as serum ferritin levels, are significant host-related prognostic biomarkers for survival with direct relevance to survival time in patients with advanced NSCLC.

Indexed as

biomarkersnon-small cell lung cancer (NSCLC)prognosissurvival.

Identifiers

PMID28928889
PMCPMC5604449

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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.