Evidence map›Paper›PMID 39925928›Full record

ArticleJournal of inflammation research2025

Inflammatory Indices and MAFLD Prevalence in Hypertensive Patients: A Large-Scale Cross-Sectional Analysis from China.

Di Shen, Xintian Cai, Junli Hu, Shuaiwei Song, Qing Zhu, Huimin Ma, Yingying Zhang, Rui Ma, Pan Zhou, Wenbo Yang and 3 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

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0cells of the map it votes in
25citing 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

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

25 citing papers in PubMed.

  1. Article
  2. Evaluation of Systemic Inflammatory Indices in Pregnant Women With Deep Vein Thrombosis.American journal of reproductive immunology (New York, N.Y. : 1989) · 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

13 authors.

Di Shen *Graduate School, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.ORCID 0009-0005-3689-7475
Xintian Cai *Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.ORCID 0000-0003-3172-1540
Junli HuHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.
Shuaiwei SongGraduate School, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.ORCID 0009-0007-2444-2136
Qing ZhuHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.
Huimin MaHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.
Yingying ZhangHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.
Rui MaHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.
Pan ZhouHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.
Wenbo YangHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.
Jing HongHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.
Delian ZhangHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.
Nanfang LiHypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hypertension development and progression are largely influenced by inflammation, which plays a critical role by activating the immune system and causing damage to the vascular endothelium. Metabolic dysfunction-associated fatty liver disease (MAFLD) is also associated with chronic low-grade inflammation, which drives disease progression via metabolic imbalances and adipose tissue dysfunction. This study investigates the relationship between inflammatory indices and MAFLD in hypertensive patients and assesses the predictive accuracy of these indices for MAFLD. Methods: We performed a cross-sectional analysis involving 34,303 hypertensive patients from a Chinese hospital-based registry. The diagnosis of MAFLD was established using metabolic dysfunction criteria alongside evidence of hepatic steatosis confirmed through imaging. Complete blood counts were used to calculate inflammatory indices, including the monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory response index (SIRI), systemic immune-inflammation index (SII), and aggregate index of systemic inflammation (AISI). To assess the relationship between inflammatory indices and MAFLD, multivariable logistic regression was performed with adjustments for potential confounders. The diagnostic performance of these indices was analyzed using receiver operating characteristic (ROC) curves and area under the curve (AUC) calculations. Results: Patients with MAFLD exhibited significantly elevated levels of all inflammatory indices compared to those without. After multivariable adjustment, each standard deviation increase in AISI, SIRI, and SII was associated with a 74%, 62%, and 58% increased odds of MAFLD, respectively. The AUC for AISI was 0.659, indicating moderate diagnostic accuracy. The AUCs for SIRI and SII were 0.626 and 0.619, respectively, while NLR, PLR, and MLR had lower AUCs of 0.593, 0.558, and 0.589, respectively. Conclusion: In hypertensive patients, inflammatory indices, especially AISI, show a strong association with MAFLD, indicating their potential utility in risk stratification within clinical settings. Further research is needed to evaluate the effectiveness of these markers in the management of MAFLD.

Indexed as

diagnostic accuracyhypertensioninflammatory indicesmetabolic-dysfunction-associated fatty liver disease

Identifiers

PMID39925928
PMCPMC11806676

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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.