Evidence map›Paper›PMID 39570426›Full record

ArticleUrolithiasis2024

Association between the systemic inflammation response index and kidney stones in US adults: a cross-sectional study based on NHANES 2007-2018.

Zhenglin Zhang, Ganlin Wang, Xiaonong Dai, Wenjian Li

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Article in Urolithiasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

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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

4 authors.

Zhenglin ZhangChangzhou Clinical College, Xuzhou Medical University, Changzhou, 213001, China.
Ganlin WangChangzhou Clinical College, Xuzhou Medical University, Changzhou, 213001, China.
Xiaonong DaiChangzhou Clinical College, Xuzhou Medical University, Changzhou, 213001, China.
Wenjian LiChangzhou Clinical College, Xuzhou Medical University, Changzhou, 213001, China. bolite@163.com.ORCID http://orcid.org/0000-0002-7650-8842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the relationship between the systemic inflammation response index (SIRI) and kidney stone occurrence in adults in the United States. It also evaluated its potential as a predictor of kidney stones. A total of 24,833 adult participants were included in the study using cross-sectional data from the 2007-2018 National Health and Nutrition Examination Survey (NHANES) database. A history of kidney stones was ascertained through the administration of a questionnaire, and SIRI values (calculated based on neutrophil, monocyte, and lymphocyte counts) were determined for each participant. Logistic regression models were employed to examine the relationship between SIRI and kidney stones while accounting for potential confounding variables such as gender, age, race, lifestyle, and history of chronic disease. Subgroup analyses were also conducted. A significant positive correlation was observed between SIRI and kidney stones. In the unadjusted model, elevated SIRI was significantly and positively associated with an increased risk of kidney stones (OR = 1.17). Analysis of SIRI quartiles demonstrated a gradual increase in the risk ratio of kidney stones with increasing SIRI levels, indicating a clear dose-response relationship. In particular, in the model adjusted for multiple confounding variables, the risk of developing kidney stones in the highest SIRI quartile was increased by 20% compared to the lowest SIRI quartile (OR = 1.20, P = 0.007). There is a significant positive correlation between SIRI and kidney stones. SIRI may predict kidney stone risk and highlight the systemic inflammatory state's substantial contribution to kidney stones' pathogenesis.

Indexed as

InflammationKidney CalculiNutrition SurveysAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedMonocytesNeutrophilsRisk FactorsUnited StatesYoung AdultCross-sectional studyKidney stonesNHANESRisk predictionSystemic inflammation response index

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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.