Evidence map›Paper›PMID 34786986›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification.

Wenjun Fan, Ying Zhang, Yixiang Liu, Zhenjiang Ding, Yueqiao Si, Fei Shi, Jingyi Liu, Lixian Sun

Abstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  4. The Role of Advanced Lung Cancer Inflammation Index in Predicting COPD Exacerbation Risks.International journal of chronic obstructive pulmonary disease · 2026
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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

8 authors.

Wenjun Fan117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.ORCID https://orcid.org/0000-0002-9760-4331
Ying Zhang117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.ORCID https://orcid.org/0000-0002-4822-4295
Yixiang Liu117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.ORCID https://orcid.org/0000-0001-7185-0369
Zhenjiang Ding117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.ORCID https://orcid.org/0000-0002-1243-8419
Yueqiao Si117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.
Fei Shi117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.ORCID https://orcid.org/0000-0002-8779-3263
Jingyi Liu117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.ORCID https://orcid.org/0000-0001-7123-0119
Lixian Sun117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.ORCID https://orcid.org/0000-0001-9814-0965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo develop and validate 3 nomograms incorporating the advanced lung cancer inflammation index (ALI) that can aid in predicting the risk of coronary artery disease (CAD) and coronary artery calcification (CAC).

methodsThe study enrolled 562 consecutive patients with suspected CAD who underwent coronary computed tomographic angiography between September 2015 and June 2017. Independent risk factors for CAD, CAC, and CAD with CAC were identified via univariate and multivariate analysis, and nomograms were established based on the independent predictors identified. The area under the curve (AUC), calibration curve, and decision curve analysis were used to evaluate the nomograms. Correlations between ALI and other clinical indicators were examined via Spearman correlation analysis.

resultsIn total, 549 patients with suspected CAD who underwent coronary computed tomographic angiography were included. Male sex, hypertension, diabetes, dyslipidemia, ischemic stroke, and ALI were independent predictors of both CAD and CAC. Male sex, hypertension, diabetes, dyslipidemia, and ALI were also identified as independent predictors of CAD with CAC. The AUC values for the nomograms developed using these risk factors were 0.739 (95% confidence interval [CI], 0.693-0.785), 0.728 (95% CI, 0.684-0.772), and 0.717 (95% CI 0.673-0.761), respectively. ALI was negatively correlated with neutrophil-to-lymphocyte ratio and CAC score and positively correlated with serum albumin levels and body mass index (all

conclusionsALI is an independent predictor of CAD, CAC, and CAD with CAC. Our ALI-based nomograms can provide accurate and individualized risk predictions for patients with suspected CAD.

Indexed as

Coronary Artery DiseaseFemaleHumansInflammationLung NeoplasmsMaleMiddle AgedNomogramsRisk FactorsVascular Calcificationadvanced lung cancer inflammation indexcoronary artery calcificationcoronary artery diseasediagnosisnomogram

Identifiers

PMID34786986
PMCPMC8619753

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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.