Evidence map›Paper›PMID 41953467›Full record

ArticleChina CDC weekly2026

Accessible Blood Based Biomarkers Reflecting Inflammation-Lipid Dysregulation in Silicosis Progression - Jiangsu Province, China, 2021-2024.

Rong Jiang, Qianqian Gao, Lang Zhou, Feng Shi, Yunfeng Hua, Feifei Wang, Zhen Hong, Lei Han

Abstract read
In one paragraph

Article in China CDC weekly, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rong Jiang *Jiangsu Health Vocational College, Nanjing City, Jiangsu Province, China.
Qianqian Gao *Department of Occupation Disease Prevention and Cure, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, Jiangsu Province, China.
Lang ZhouDepartment of Occupation Disease Prevention and Cure, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, Jiangsu Province, China.
Feng ShiJiangsu Health Vocational College, Nanjing City, Jiangsu Province, China.
Yunfeng HuaJiangsu Health Vocational College, Nanjing City, Jiangsu Province, China.
Feifei WangJiangsu Health Vocational College, Nanjing City, Jiangsu Province, China.
Zhen HongJiangsu Health Vocational College, Nanjing City, Jiangsu Province, China.
Lei HanDepartment of Occupation Disease Prevention and Cure, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Silicosis, an occupational lung disease caused by exposure to silica dust, is characterized by persistent inflammation and lipid dysregulation. Clinicians typically rely on radiographic imaging and pulmonary function tests instead of accessible blood-based biomarkers to quantify inflammation-lipid imbalance and predict functional decline in disease management. What is added by this report?: We evaluate two novel hematological indices - Neutrophil-to-HDL Ratio (NHR) and Platelet-to-HDL Ratio (PHR) - in 160 patients with silicosis and 123 silica-exposed controls from Jiangsu Province, China. Both the NHR and PHR of patients in the silicosis group are significantly higher than those in the control group, with the highest levels observed in advanced stages (Stage II-III). Both ratios show significant negative correlations with lung function decline (FVC%, FEV What are the implications for public health practice?: NHR and PHR are low-cost, accessible biomarkers of inflammation-lipid dysregulation during the progression of silicosis. Incorporating these ratios into routine occupational health screening for silica-exposed workers could serve as a complementary method to radiographic examination or spirometry tests, thereby improving silicosis monitoring and management.

Indexed as

Hematological IndicesInflammationLipid DysregulationPulmonary FunctionSilicosis

Identifiers

PMID41953467
PMCPMC13054698

What OpenQuestion holds

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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.