Evidence map›Paper›PMID 30416777›Full record

ArticleJournal of thoracic disease2018

Prognostic value of prognostic nutritional index in lung cancer: a meta-analysis.

Dan Li, Xia Yuan, Jia Liu, Changling Li, Weimin Li

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Article in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 6 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

73 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  11. Prognostic value of SUVTranslational lung cancer research · 2026
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13 more citing papers are in PubMed but not listed here.

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.

Dan LiDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
Xia YuanState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Jia LiuWest China School of Medicine, Sichuan University, Chengdu 610041, China.
Changling LiWest China School of Medicine, Sichuan University, Chengdu 610041, China.
Weimin LiDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies reported pretreatment prognostic nutritional index (PNI) was associated with clinical outcome of lung cancer. However, the result was not conclusive. We conducted a comprehensive meta-analysis to clarify the impact of PNI in lung cancer prognosis.

methodsWe identified eligible studies by searching PubMed, EMBASE, and Web of Science, up to August 15, 2017. Overall survival (OS) and clinicopathological characteristics were collected from included studies. Pooled hazard ratios (HR) and corresponding 95% confidence intervals (CIs) were used to estimate clinical and prognostic value of PNI in lung cancer.

resultsTen studies including 5,085 patients were enrolled in the meta-analysis. The result demonstrated that low PNI was correlated with unfavorable OS in lung cancer (HR =1.72; 95% CI, 1.43-2.06; P=0.000), especially among non-small cell lung cancer patients (HR =1.93; 95% CI, 1.56-2.37; P=0.000). As for clinical characteristics, low PNI status was found related to gender (female versus male, HR =0.68; 95% CI, 0.554-0.857; P=0.001) and histology (adenocarcinoma versus non-adenocarcinoma, HR =0.59; 95% CI, 0.47-0.74, P=0.000), but not smoking status (smoker versus never smoker, HR =1.49; 95% CI, 0.99-2.25, P=0.056). No significant publication bias was found (P=0.210).

conclusionsPNI was an independent prognostic indicator for lung cancer, and can serve as a novel biomarker to help guide clinical practice and promote clinical outcomes of lung cancer patients.

Indexed as

lung cancerprognosisPrognostic nutritional index (PNI)

Identifiers

PMID30416777
PMCPMC6196222

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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.